In Episode 1, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Orlando Machado, Chief Data Officer | Vice President at the LEGO Group, where they discuss the hype around new D&A trends, which includes;How LEGO became the to describe data storytelling across LinkedInReflecting on the evolution of Data Science and AI.Addressing the allure of shiny new technologiesHow organisations can cut through the noise to uncover real value.The rise of GenAI and its implications for Data Science and traditional AI practices.The evolving role of the CDO amidst technological advancements and shifting priorities.Challenges organisations face in realising value from Data Science and AI initiatives.Discovering the biggest opportunities that organisations can leverage today.Exploring how LEGO has harnessed Data and AI to drive innovation and create tangible value.The trend and speed of the hype cycles and buzzwords and their effect on the industry.The future of digital and data roles based on new technologies and demandsThe impact the lack of standardisation has on the D&A industry.The difficulty of knowing which hype cycles to adopt.Prioritising opportunities in use cases.Tackling AI ethics.How LEGO are tackling data literacy fluency.The effect the size of the organisation can have when implementing data strategies.Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 50, the season finale of Season 4, of Driven by Data: The Podcast. Kyle Winterbottom is joined by Marion Shaw, Head of Data & Analytics at Chaucer Group, where they discuss how success with data and analytics is a giant marketing exercise and how to use it build visibility and curiosity, which includes;Having a career that allowed an understanding of what it takes to get something to market and grow profits Why technology and data can’t be treated the same way How curiosity around data impacts business decision making Getting your business stakeholders to ask the right questions Building new revenue streams be leveraging data that was previously unavailable to harnessHow she created a gamified data exercise to market and educate business stakeholders How that has benefited the data team with their engagements with their business stakeholders Using competition and FOMO to battle cynicism and scepticism Accepting that you’ll never know win over everybody Utilizing traditional marketing techniques to tell the story Why they brought the former receptionist into the team as a data champion Using your success stories to drive positive PR The importance of being visible to your stakeholders to build interest and curiosity Why D&A teams can’t be successful without business stakeholders Guiding your business stakeholders to meet you in the middle Measuring the effectiveness of your marketing efforts The importance of tracking your results beyond the initial use case Agreeing an attributable figure that data can claim for the returns Identifying your biggest champions and squeakiest wheelWhy you should never use “data speak”Advice on how to drive curiosity, interest and buy-in Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 49, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Maddie Armitage, Director of Data & AI Solutions at BT, where they discuss how to build data products that get used to drive commercial benefit, which includes;Getting business stakeholders to adopt a product led mindset Why everyone has to be focused on outcomes and benefits Prioritisation based on speed and value Why AI should allow organisations to use data in a more effective way Why good data product management is all about relationship building and good communicationThe differences in building data products for internal use versus external use  Why better relationships equals better outcomes The capabilities required to build successful data products Why clear direction of travel and clear strategic thinking are critical How a product mindset drives a focus on commercial outcomes The importance of understanding how you contribute towards your business making moneyHow to ensure effective collaboration between data teams and business functions.How you can get your organisation to use data is the crown jewels If a data product approach helps with the measurement of value Why you need to create shared outcomes, goals and responsibility with your business stakeholdersThe future of the CDO role and can some become CEOsThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 48, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Rachel Purchase, Director of Data & Analytics at Admiral Group Plc, where they discuss some of the challenges associated with having an organisation that has such an appetite for data, which includes;Taking responsibility for an enterprise D&A capability after several unsuccessful external attempts The mandate being to fix the issue that the business and IT aren’t working effectively together Why being data-driven doesn’t necessarily mean you are data mature The challenges of moving from being product centric to customer centric Why having a centralised team structure doesn’t work in such a data “hungry” organisationTackling how to standardise best practice and excellence across 27 different business units The challenges of having such a ”data hungry” organisation Building a data academy that supports 900 people Identifying where the biggest value creation opportunities are The different levels of maturity across different business units Challenging the status quo of how prioritisation happens Why entrepreneurial spirt is advantageous but can create challenges Whether the appetite for data impacts the expectations of what it should be delivering Upskilling data professionals with non-data related skillsReskilling business users to take on data rolesGetting the communication strategy right Why they created individual data brands across business functions Why the aim should be to get “Data” and “the business” indistinguishable from each other Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 47, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Anna Wang, Head of AI at Multiverse, where they discuss current AI landscape and the key considerations to bridge the AI skills gap, which includes;Studying AI at Stanford Having her company acquired by Multiverse The combination of AI and behavioural science to evaluate skills If you’re serious about AI you have to be serious about data Building AI models than are 4x more accurate than interview processes Why there is no point in investing in AI if you’re not investing in the people that will use it The importance of investing in your people to make them effective at using AI as a tool Why LLMs are in a generalised state Why AI is lightyears ahead of where it was even 5 years agoThe most common misconceptions about AI Why it’s unlikely that you can use AI out of the box Why people are leaning in too much to demo’s we see online How no one has yet been left behind yet, despite what people may believe What is preventing organisations in taking action with AI Why business leaders need to embrace an investment in learning The security and ethical fairness concerns that prevent action Why most businesses will be AI native in the future The consequences of inactionWhy understanding the data that is powering your organisation is a good place to start The significance of the skills shortage in AI Why AI skills gaps is a multi-layered problem Why the speed of technological advancement is a challenge  Why critical thinking and questioning skills are essential to get the most out of AIHow team structures and operating models play a significant roleWhy AI infrastructure should be shared between data and tech teams Why whoever has the final decision on how AI is used should be incredibly business minded The importance of growing your experimental AI muscle Why urgency will play a major role in success The MAGE approach to training and upskilling organisations and people Training 16,000 people across 1500 organisations to make more impact at work The 2 vector that AI will impact in the next couple of years Tackling the fear from non-data or technology professionals The relationship between data culture and AI The importance of both data and AI literacy Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential...

In Episode 46, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Katy Gooblar, Director of Education & Data at Data Literacy Academy, where they discuss how to ensure your people are AI ready, which includes; The key factors in ensuring an organisation is ready to truly harness the power of AIHow AI adoption is related to trust in leadershipUnderstanding which foundations you need to leverage AIThe interconnectivity between data literacy and AI adoptionWhy you need to focus on the silent majority The departmental nuances that affect learning and adoptionThe link between usage, trust and understanding for adoption Why literacy progress requires a lot more than training How culture can be fluid across departments and how that impacts adoption Why data literacy must be more than a side of desk activity The importance of understanding the psychological of winnings hearts and minds The educational mechanisms used to drive effective change Why you have to create key messaging that is tied to business objectives How to assess people to develop the right curriculum for individuals Why you never want people starting in the wrong place Identifying your key strategic cohorts The nuances of top down versus bottom-upGetting the communications and marketing messages out into a business Why it’s not just about what people learn but how they learn and interact Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 45, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Tony Zona, Chief Data Officer at Grant Thornton UK, where they discuss how to translate the language of data to create a unified language, which includes; Operating for 25 years in the same organisation Being a translator in his personal family life Why coming from a non-traditional background has been a huge benefit for his career The unusual situation of having Data Leaders within its advisory business The benefits and downsides of being in the same organisation for so longWhy translation is the key to success in both the business and technical settings How to avoid the business coming to you with pre-defined solutions Creating the muscle memory to establish the ‘why’The misconception that all businesses require the same thing from a CDO Why semantics are part of the translation challenge Why the data literacy challenge is a cultural one and not a training oneBusiness Leaders don’t want to talk about Data The importance of articulating not just what the benefits are, but what that means Creating a team that is focused on the business objectives and benefits Why data can and should become a unified language of business Why the language we use internally as an industry we shouldn’t use within our organisations Ensuring you can articulate the risks of not having a unified language as well as the benefits Why it’s your job as a Data Leader to understand what is important in relation to terminology inside an organisationWhy the immaturity of the industry still causes many of our challenges Why organisations are still figuring out what they want and need from their data investments Articulating messages differently for different audiences  Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 44, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is re-joined by Daniel Hulme, Chief AI Officer at WPP and one of the world's leading AI authorities, where they discuss how the AI landscape has shifted since his first appearance on the show over 3 years ago, which includes; Selling Satalia to WPP Why it’s become a successful acquisition Launching a research organisation to understand ‘machine consciousness’Why machine consciousness will be a very important question we’ll face as a species over the coming years  Why we should be looking at AI through applications not technologies How GenAI has given artificial intelligence a UI Why GenAI isn’t the panacea of AIThe 3 things that you need to unlock value with GenAI Why you need differentiated talent to succeed with AI How optimisation algorithms will still give you the biggest bang for your buckWhy the most popular definition of AI is the weakest Why using human beings as the pinnacle of intelligence is not a good idea The 6 categories of applications of AI that resolve any business friction Why we should be tracking neuromorphic computing How GenAI has disrupted the media, advertising and marketing sectorsWhy LLMs are like intoxicated graduates Figuring out which problems to tackle that will truly disrupt your business Why the capability of the technology will outrun the speed of adoption The questions to ask to spot the genuine ‘AI Experts’ A controversial view on AI ethics surrounding intent The 3 type of AI risks The 3 questions you need to ask yourself to deploy AI safely Why we may only be 10-20 years away from a superintelligence Why a superintelligence could be the biggest existential threat to humans if we don’t focus on safety Why we have a duty of care to build conscious AIThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 43, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Stijn (Stan) Christiaens, Co-Founder and Chief Data Citizen at Collibra, where they discuss the framework to create financial value through data, which includes; The catalyst for launching CollibraWhat the title Chief Data Citizen meansSetting up the chief data office inside CollibraWhy people confuse Collibra for a data management software companyDefining value and data monetisationWhy selling data is the least common way of monetising dataHow to use data to turn it into moneyHow the immaturity of the CDO role affects the ability to monetise dataThe 5 enterprise capabilities of the MIT data monetisation frameworkWhy putting the data product in the middle is what makes the money The evolution of the data product and what it is or isn’tWhile monetizing data is difficult that’s not an excuseWhy the ‘data as an asset’ trend will be unstoppableBut, why most companies don’t treat data as an assetThe Databricks V Snowflake debateWhy most data vendors are like ants in comparison to the ‘hyperscaler’ titansWhy those titans are benefitting CollibraWhy organisations will never succeed in putting all of their data in one placeWhy the data vendor ecosystem still has a long way to growThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 42, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is re-joined by Davin Crowley-Sweet, Chief Data Officer at National Highways. After Davin's first appearance almost 2 years ago (still the most listened-to episode of all time) they discuss what’s unfolded since valuing their data as an asset and the failings of the D&A industry, which includes; Why CDOs are playing musical chairs The language of business is finance and what that means for dataMaking data an asset class in its own right Why your job is to create clarity from ambiguity Recognising the difference between conflict and tension Why data professionals hide too much behind technical skills Putting a valuation on your data asset and the benefits of doing so Why the valuation is merely a means to an end The difference between valuation, value, benefits and monetisationWhy being an enabler may provide good benefits but won’t capitalise on the value of the data The relationship between valuing your data asset and capital allocation How valuing the data asset has changed the business model How data people create new meanings from words that already exist and wonder why they’re being misunderstood Why it’s easier to make a data team business literate than it is to make an entire business data literateWhy you don’t need a ‘data culture’ Why there’s a fear of speaking about failure in the D&A industry Why creating a strategy was the biggest failure of his career Why earning trust and emotional commitment of the organisation is critical to successData is hard because the job exists to challenge senior leaders' belief systems Why “you’re mental” if you think technology will fix that problem Why the future skillset of the CDO is more aligned to psychologists and philosophers What you should do today as a D&A professional if you want to make a differenceThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 41, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Dominic Holden, Head of Data Governance at Jet2.com, where they talk about the key considerations when building out a data governance function from the ground up, which includes;  Constructing the data governance operation Clearly defining who does what, whenGetting sponsorship and buy-in for data governance Reframing what data governance isDemocratizing data across an organisation Defining and upskilling a data ownership structure Prioritising where to start and what the focus areas should be Balancing the academic and theoretical concepts with reality Considering the practicalities when designing your data governance framework Ensuring that data governance is viewed as a value-creation endeavour and not fixing data The skills and experience needed to build a well-balanced data governance teamThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 40, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Greg Freeman, CEO of Data Literacy Academy, Hannah Davies, Head of Data Culture and Excellence at Admiral Group Plc and Kate Jones, Head of Data Product and Strategy at Coventry Building Society as part of a live panel event, where they discuss how to design and deliver an enterprise data literacy programme, from planning to impact, which includes; Understanding the business case for data literacy programmes Who should drive it and whyThe key steps in planning effective enterprise data literacyApproaches to obtaining buy-in and sponsorship How to build a data academy Communicating the value to the wider business Branding people with persona names Ways to measure success Why success metrics will change with maturity Proving the ROI on data literacy initiativesIf there is resistance to the word 'literacy'If structured data literacy programmes can work in smaller organisationsThe scale of dedicated resources required to execute Typical objections to running data literacy programmesSelling the benefits of why a data literacy programme is required  The common challenges faced when implementing a data literacy programmeOvercoming those challenges Assessing the current level of data literacy before startingTailoring data literacy activities for  different stakeholders and departmentsThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 39, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined Stefania Gvillo, Chief Analytics & Insight Officer at Domino's, where they discuss how to be a better data storyteller to drive better business impact, which includes;  Understanding what matters to your audience The link between value and effective storytellingFocusing on what drives decisions and not what is cool and insightful The importance of perception and how storytelling can reshape itWhy your language determines your impactThe storytelling nuances between B2B and B2C Why you should never refer to your stakeholders as clients Why you should be a journalist and not a novelistCase studies where storytelling changed outcomes and led to success.Strategies for upskilling your team in storytelling and influencing.Constructing your team with storytelling and influencing skills in mindPractical tips for improving storytelling skills for listeners Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 38, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Rui Machado, Vice President of Data Engineering and Architecture at H&M Group, where they discuss data modelling, accessibility and translating highly technical solutions into business value, which includes;Working for household names such as Nike and Meta Leading a team of 200 Data Engineers at H&MBecoming the author of; Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at ScaleH&M’s focus on sustainability and society Why data modelling lost relevance and why it’s had a resurgence The fundamental changes in how organisations build and use data modelsWhy decentralising ownership of data has disrupted the industry Why SQL is still the core tool for data teams and why it has survived despite the explosion of the modern data stack Why there has been a refocusing on data accessibility      What sets the great engineers apart from the good engineersWhy data engineering teams need to be more aligned to their business stakeholders  Why engineers need to understand the economics of building specific applications  How organisations can ensure that their technical teams are delivering things that will help the business to create/realise value Why some technical people can elevate themselves into leadership and others struggle How to connect very technical concepts to business outcomes and strategiesUsing OKRs to understand business priorities and align your engineering goalsThe shift from data teams being a service team to being a partner Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 37, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Claire Thompson, Group Chief Data & Analytics Officer at Legal & General, where they discuss the power of influencing and operating at board level to transform organisations, which includes;Starting her career as a SAS programmer The key traits and attributes a CDO/Data Leader need to be effective at board level Intentionally taking a sideward career step to get the opportunity to become a better communicator Why influencing skills can be problematic for CDOs/Data LeadersThe importance of being a great storyteller and its relationship to value cretion The conditions that D&A teams require to add tangible business value  Finding the sponsors in your organisationWhether you need to be in the boardroom to influence The expectations of the boardroom in relation to Data & Analytics If executives are expecting tangible ROI from their investment Building an AI Accelerator within L&GBeing a part of the Lord Mayors Ethical AI initiativeThe practical education pieces that can be done to upskill/educate stakeholders  The key to ensuring that data, analytics and AI is treated as a transformational endeavour it needs to beThe relationship between DEI and the ability to influence to create value Hints/tips on how to get DEI right in a world where so many D&A teams struggle with itThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 36, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Chris Daniels, Chief Data Officer (Corporate Bank) at Deutsche Bank, where they discuss the delineation between business and technology, which includes;Why organisations haven’t put data as a first-order citizen historically Avoiding unnecessary transformation of our data Finding good, opportunistic data science use cases within sales and product teams Why the things we built 18 months ago we’d never dream of building today Having the right conditions for success as a CDO Why you’ll never have an enduring model that is right for all situations at all times The move from centralised to distributed structures to align with product lines Why extreme centralisation doesn’t work Making data everyone’s problem Why where data is homed in an organisation can matterWhy to be successful it has to be a topic of importance at the board/exco levelWhere it sits is irrelevant if it isn’t a topic of importance at that level The importance of creating a common purpose Why reporting lines should matter to D&A professionals if they want to growWhy you need to be both business and technology literate to succeed as a D&A teamHow the lines are blurring between business and tech The importance of cross-functional teamsWhy automation is increasing the need for better technology expertise and focus The importance of real-time observability Upskilling as someone from a non-technology background Why industry events are a necessity for learning Why process reengineering will be a key to success in a rapidly evolving world The importance of AI literacy at the exec level so they can reshape their thinking Not believing in data strategies The importance of explainability Why it’s necessary to think beyond the first-wave of GenAI possibilitiesThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 35, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Rupal Sumaria, Head of Data Management at ASOS, where they discuss how to obtain buy-in and sponsorship for data management, which includes;Ending up in Data Governance by accident Rebranding from Data Governance to Data Management The recognition that Data Management can support Why repetition, persistence and resilience are the key to driving buy-in and sponsorship Using different content and analogies to communicate with different teams The importance of getting into as many meetings as possibleUsing a variety of different mediums to communicate with your business teams Why data management success requires a fundamental mindset shift for the entire organisation  Communication differences between business teams and executives Why the perception of legacy organisations versus digital natives isn’t always accurate Prioritising which data management use cases to tackle first  Why willing partners are critical and how you identify themWhy people skills are so critical when working in data managementHow personality can take you a long way Why the perception of job titles can make a difference Balancing quick wins with long-term strategic initiatives The role of technology and tooling in data governance Why data discoverability is a critical component to successThe importance of retaining and sharing company knowledge The differences between data governance and AI governance How GenAI will impact data governance   Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 34, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Peter Laflin, Director of Data Analytics at Morrisons, where they discuss how to build a high-performance Data & Analytics team that is laser-focused on value and impact, which includes;The distinction between a ‘Head of’ and CDO role Why value has become a buzzwordWhy value has to be embodied culturally to be attained Why the role of a D&A team is to help their business sell more Translating technical work into business benefits The mindset shift required to get your D&A team talking in business speakThe relationship between the team you build and the success you’ll have Recruiting to build a cohesive team Why ICs often struggle to cope once promoted into management Why the language of the business has to be spoken internally within the D&A team Why your team always need to know why they’re doing something The importance of having a very clear vision of the direction you're heading Being really clear on the problem you’re trying to solve Why many D&A teams are driven by the wrong things The role of business leadership in defining our D&A direction Why you should focus on the customer and the value will follow Building a business culture into a D&A team The art of explaining very complex topics in very simple languageEmbracing neurodiversity for success Practical tips for creating a truly inclusive environment Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 33, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Steve Janoo, Chief Data and Analytics Officer at Diageo, where they discuss the debate around CIO and CDO relationship and reporting lines, due to Steve’s background as a former Global CIO to get an alternative view, which includes;Reporting lines and why they shouldn’t matter The challenge of perception Why the status of the technology function plays a major part Why wherever you sit it’s only ever about the business strategy and outcomes How the conversation differs between CDAO and CIO versus other business leaders Why the CIO and CDAO should work together to create common ground Why there is too much for one person to take ownership and accountability across Digital and Data Why the CIO is often in the boardroom and the CDAO isn’tThe lack of understanding of the CDAO role at the exec level Why the lack of standardisation confuses executives Landing your message in the boardroom if you’re not in the boardroom How not all digital and data exec conversations don’t take place in the boardroom Why you have to find your medium to land your messages you need to land Why the CDAO needs to be empowered to build on top of existing technology platforms What the perception of D&A actually is in the boardroom  Demonstrating the value you deliver Why incremental value is a must to balance investment and ROIWhy flexibility, speed and agility are value drivers in modern-day business Why executives are still bought into the fact that data adds value Why the transformational nature of the CDAO role drives the challenges around tenure What a good CIO & CDO relationship looks likeMaking the transition from CIO to CDAOWhy the CDAO is the best person to be accountable for GenAIThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 32, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom hosts a panel discussion alongside; Hannah Davies, Head of Data Culture & Excellence at Admiral GroupJosh Cunningham, Group Head of Data Culture at Lloyds Banking GroupCali Wood, Head of Data Strategy and Culture at AXA Sandra Oudshoff (who was the Global Analytics Engagement Lead at Heineken at the time of recording) Where they discuss how Data Culture teams are transforming organisations in 2024, which includes;Why Data Culture is more than just training The relationship between being 'data-driven' and failureThe importance of people and trust to improve competency and capability Why it’s important to break the notion of culture down by target audienceWhy data culture is everyone’s jobThe importance of having dedicated roles to drive data cultural initiatives Why culture is important to make better decisions that drive business value The different types of data culture initiatives that these organisations are deliveringBattling against ‘the taught’ fear of data Differences in upskilling when catering for D&A colleagues and business stakeholders The importance of upskilling the executive teamUsing different mediums and methods of communication to highlight the value being realisedMeasuring how good your data culture is and the value of your culture initiatives The impact that data culture has on the value generated The importance of tracking and measuring engagement Understanding your data maturity and having a maturity roadmap The relationship between culture and valueTailoring culture initiatives to different personasThe relationship between self-service and data culture The major roadblocks/challenges you may face The  impact that GenAI will have on data culture/literacy initiatives Key advice for any organisation that is just about to embark upon its Data Cultura journeyMaking these initiatives mandatory or optional Making data sexy and fun Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 31, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Justin Windle, Head of Data Oversight at First Citizens Bank, where they discuss the purpose of data evangelism and how to set the north-star and sell the value, which includes;Setting your north star Operating in a buzzword-heavy industry Understanding your purpose and where you’re heading Setting a North star in the absence of a data strategyWhy too many D&A journeys purely tactical  Why your D&A strategy may change but your north star shouldn’tWhy value is the “why”?Why your communication around the north-star should be different for different audiences Why you should brand your data organisation internally The progression of the Data Leader Moving from reactive to value-driven Building to deliver value quickly but also towards your visionThe disparity between average tenure and average roadmap The need for having different CDOs at different stages of the journey Tying value to your north-star Creating advocates across your organisation How 99% of organisations are not sold on the value of dataWhy the primary role of the CDO is to be evangelist The importance of learning to craft the D&A message to the different business functions Why you have to sell the benefits and get people excited Why the last thing you should do is talk about data Why you should give people bragging rights Why you should never build your North Star on a business case Why value and valuable are 2 different things The relationship between culture and evangelism Why you may be struggling to build a data culture Getting the business stakeholders to help define the north-starWhy people are the major roadblock to reaching a north-starWhy it’s easier to sell D&A to executivesEvangelism will help change the incorrect perception of the industry Why most companies don’t understand what the role of the Data Leader isThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 30, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Sol Rashidi, Former Chief Data, Analytics & AI Officer at various Fortune 100 organisations and now advisor, where they discuss what really causes many of the Data & Analytics industry's challenges and the importance of perception, which includes;Starting out as a Data EngineerBeing a translator before the translator skillset was recognised Being a techno-functional Data Executive Helping to launch IBM WatsonWhy you’re never brought in as a CDO when things are going well Why your value has nothing to do with what you can build Why success has nothing to do with your competence in the data space Why you’ve only got 6 months to build the perception of value as a Data Leader The framework of understanding what are common, core and local data challengesPutting wins on the board amongst conflicting agendas Over 70% of organisations don’t understand the value of a CDO yetThe importance of asking your stakeholders what they think your job is Understanding who and what you should prioritise What we actually mean when we talk about 'good communication' and ‘getting out in the business’Why you need to create function-specific strategy documents for each key stakeholder The importance of talking in the language of your stakeholdersWhy you should always talk about their needs and requests Creating brand equity by ensuring your stakeholders feel heard and understood The catalyst for writing her best-selling book Having 40 AI deployments in production at in enterprise organisationsThe 3 key reasons why organisations change tact and don’t follow through Why data analytics work is the hardest to quantify in businessThe three measurements of value and ROI; financial, cultural and relevancy Landing different messages for different personas Why 60% of the day is committed to communication Why you presume that people know what you’re doing but they never do Why data and analytics people don’t get the correct training to be successful at the executive level Why it’s less about IQ and more about EQ, BQ and SQWhy you need to report to ‘the business’ if you want to be respected, but, why it’s easier to do the work under IT Why you’ll always be starting from a deficit in perception if you sit within IT  Why having responsibility is different to having the authority What the future of AI will look like Why they’ll be a decrease in the amount of AI-based projects over the next 12-24 months  Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first...

In Episode 29, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Evie Dineva, Group Head of Data Engineering & Data Science at Gymshark, where they discuss how to balance delivering commercial value through data, analytics and AI products responsibly and ethically, which includes;Being driven by the purpose of improving business performanceArticulating the commercial value of what Data & Analytics teams doThe importance of supporting people to be better at what they doWorking for a brand as big and prominent as GymsharkThe importance of being in an environment where company values are visibleCommon pitfalls as to why organisations fail to deliver commercial value with data Focusing on the why and not the how The importance of understanding your vision Why success is largely down to building strong relationshipsWhat good business partnering looks likeThe differences between tactical versus commercial business partnering Being advocated for and championed without having to be in the roomWhy the strategic initiatives often hold the bigger commercial gainsDefining the measure of success before you define the solutionThe rise of Data & AI products and the difference it’s created Balancing the pursuit of commercial value with building responsible and ethical data & AI productsThe risks of neglecting ethical considerations Where accountability lies with humans and artificial intelligenceThe importance of humans in the loopThe relationship between risk and literacy The relationship between authentic leadership and ethics Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 28, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Pete Youngs, Managing Partner at Ortecha, where they discuss the key considerations of designing and implementing the correct data operating model and its importance in data and analytics success, which includes;Why a data operating model is more important than your data strategy The day-to-day chaos of living without an operating model The relationship between D&A enablement and your operating model  Defining the MVP data operating model Data operating models in the absence of data strategies Why your operating model should be ever-evolvingThe confusion between operating models and team structures Why people are the most important part of your operating modelWhy your data operating model can’t conflict with the business operating model Trends around centralised versus decentralised structures The relationship between team structure cycles and the tenure of the CDO The importance of defining role profiles and managing with OKRsWhy size and scale are important factors in defining the best data operating model Why many data operating models are created by data governance or strategy teams The relationship between data operating models and delivering value The importance of a value-driven mindset and having a value-caseBalancing value realisation while building your data operating model Why not enough focus or time is put into successful implementation and adoption Why most CEOs would be shocked if they knew how much it actually costs to do it properly Why your data operating model needs to be rolled out iteratively across the organisation The symptoms of a successful data operating model and measuring success Why data products have changed the way data operating models work Why lack of adoption is often due to a lack of process The importance of selecting the right partners The top four pieces of advice to create the right data operating model The relationship between data operating model and data culture

In Episode 27, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Tom Betts, Group Data Director at Kingfisher Plc , where they discuss the complexities, challenges and opportunities of building a centralised data function at a group level to support multiple operating brands, which includes;His journey from DJ to Travel Agent to CDO Studying Artificial Intelligence in the early 2000sOrganising a centralised data domain to serve a multi-brand business Being the first data leader at group level The benefits and challenges of starting from a blank canvasThe challenge of attracting talent as a group company that people haven't heard ofBuilding a data-led customer experience as a pillar of a corporate strategyDeciding which capabilities sit within the operating companies versus what is centralised at the group level  Working out where the biggest opportunities lie across multiple brands Adopting different ways of working within different teams The importance of meeting each operating company where they are and not having a group approach to everything Dealing with different; cultures, literacy, adoption and maturity across the different brands The core use cases that are scalable and reusable across different operating companies  Building an orchestration framework for Generative AI tools Using gamification as a tool for education and upskilling The benefits of building working prototypes to drive buy-in and adoption Building a customer-facing generative AI solution Understanding and mitigating the risks of a customer-facing GenAi solution Considering the risks of inaction Why you’ll always learn more from just doingWhy the role of Chief AI Officer is not needed in isolation Why it’s important to have teams that are delivering DS/AI solutions to go as end-to-end as possible in a cross-functional way Why it’s faster to build things than it is to leverage what has been built Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 26, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Michelle Gansle, Chief Data, Analytics & AI Officer at McDonald's, where they discuss why, as one of the world's biggest brands, they still have a commitment to change and innovation and how Data & Analytics fuels that, which includes;3 fun facts that people don’t know about McDonald's The data and analytics goals of McDonald's The size and scale of the D&A capability at McDonalds Defining the right operating model for such a large enterprise Key D&A use cases in the fast food industry Why prioritisation should be the easiest part of the job Why even the biggest companies need to optimise and innovate to be successful Why one of the world's biggest brands has a commitment to change The tangible impact that certain innovations like drive-thru’s and delivery apps have had on their business What the landscape looked like before and after the pandemic Building a foresight team to predict what may happen in the future The three-legged stool concept Why the McDonalds culture has always been tied to innovationHow innovation is in service of the organisation's core business Why they view their size and scale as an incomparable advantageThe double-edged sword of being a large business Why relentless curiosity will make you successful Understanding the difference between what you could do versus what you should do The benefit of having a seat at the table Why it’s imperative to understand what “the end” is, and why Data & Analytics is not itWho really are the competitorsWhy they’re rarely first to market but are often fast followers The role that GenAI will play at McDonald's The 3 horizons of Generative AI How D&A was mentioned 42 times at investor meetings Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 25, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Irina Mihai, Director of Data, Marketing Analytics & Decision Science at Adidias, where they discuss how to create an environment to ensure that the work of a D&A team is constantly visible, which includes;Coming from a non-STEM background and dealing with imposter syndromeThe importance of branding the Data & Analytics team both internally and externally Having an internal decision-support culture The benefits of authentic leadership The importance of how to decide on which problems to work onIntentionally building a team to cater for areas where you have less experience Choosing the right KPIs to monitor performance Moving from being an individual contributor into a leadership role Ensuring you’re not a bottleneck for your team The importance of defining your team's purpose within the organisation Fostering an environment of psychological safety Why you should co-create your roadmap as a team The importance of having designated leads for each item of your roadmap as a team Why communication skills separate the good from the excellent Having a criteria to prioritise what projects to undertake Understanding the organisational strategic goals Knowing when and why to discontinue a projectThe benefits of having an organisational culture where challenge is welcome The importance of having an agreed model of communication to engage effectively with stakeholders Why the engagement and commitment of stakeholders is a key evaluation criteria The benefits both internally and externally of making sure your D&A team is visible Why you can no longer rely on the company brand to attract talent Why everyone needs to be responsible for their own visibility

In Episode 24, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Chris Bannocks, Group Chief Data Officer at QBE Insurance, where they discuss how they are productionising GenAI use cases from scratch within 8 weeks, which includes; Being a CDAO/Group CDAO in multiple organisations/sectors The importance of international experience Being allergic to the term ‘data strategy’The impact that Gen AI will have on businessWhy GenAI/AI isn’t the solution to every problem Harnessing the value that GenAI can bring The top and bottom line opportunities of GenAI Why GenAI raises the stakes further for D&A teamsThe requirements of the semantic understanding of your data organization Going fast and hard on one opportunity to prove it could be doneUsing different mediums to gather 300 potential use cases Building things to be reusable and scalable Measuring the addressable opportunity Why they didn’t have to quantify the value before they got started Standing up a technical spike within 6 days to show what could possibly be done Having a 12 week deadline to get it done from a standing start with no capability How that capability has now reduced time to production to 8 weeks The collaboration needed with each leader from different business units The importance of creating a working product in productionWhy they avoided focusing on efficiency and focused on increasing revenue instead Avoiding enthusiastic experimentation Why tight deadlines helped to make decisions quickly and focus on scope/MVPWhy you should never start a piece of work without input from business stakeholders The challenge of ethical and bias considerations How they tackled GenAI education across the organisation The importance of having a human in the loopBuilding a team that can deliver Top pieces of advice for anyone about to embark on this journey

In Episode 23, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Caroline Zimmerman, Director of Data Product & Strategy at Profusion, where they discuss the research study she helped to conduct into how private equity companies are leveraging Data & AI to fuel growth and enterprise value, which includes;The catalyst for conducting the research studyWhy private equity has a very specific definition of value and how to measure itWhy PE has a lot to teach the corporate Data & Analytics landscape The major differences between PE-backed firms and the rest when it comes to D&A Focusing on enterprise value Why time horizons are important and can create urgency with long-term thinking The differences between PE Data Leaders and others Why PE does ‘BI’ but not in the traditional sense The power of growth modelling and the relationship with investment/capital allocation The role of Data & Digital in value creation teamsThe career opportunities for Data Leaders in PE The two key ways that PE firms are using Data & Analytics across their portfolio Obsessing over understanding your most valuable customers Culture is still the main challenge to overcome The differences between PE firms who specialise versus those with diversified portfoliosWhy data monetisation affects multiple and not just profitWhy horizontal investments into data infrastructure don’t exist in PE Why the D&A community should care about this researchWhy it still should be all about making better decisions Roles, titles and remuneration benchmarks of Data Leaders within PEWhere you can find/access the research study ​A joint INSEAD research project by:​Theodoros Evgeniou, INSEAD Business School​Caroline Zimmerman, Profusion​Olly Blaydon, Armstong International​Shahbaz Alam, AWS

In Episode 22, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Simon Ferriter, CEO at Anmut , where they discuss why organisations are valuing their data like other balance sheet assets, which includes;The framework for measuring the value and fitness for purpose of your most important data The role of capital allocation in data assets How most organisations don’t understand which data assets are important to success If data teams lack the business/management acumen to communicate data effectively Why data isn’t treated or managed like other resources and assets in an organisation Not all data has equal importance to decision-making Why the 80-20 rule is likely in play when it comes to dataWhy data valuation is completely context-dependentThe three financial methods for valuing data The importance of social impacts of data (environmental and community)The benefit of putting a financial figure on the value of data assets Why semantics around language are causing confusion Why the financial figure isn’t the end result, it’s what that allows you to do from there Why data valuation drives improved "value"Knowing which data asset is important for which business opportunities Why valuing your data captures the attention of the board and makes it their issue too The under-investment in data management capability and the overinvestment in technology Why the problem statements are fairly universal across industries and organisations Why complexity means intangible assets are overlooked and often undervalued Why accounting standards are no longer fit for purpose in the digital age of today If data should be on the balance sheet Investing in the upstream business process to prevent the need for new tools The benefits that organisations are seeing from valuing their data assets Why Anmut launched a product to help organisations to self-serve on this process

In Episode 21, of Season 4, of Driven by Data: The Podcast, we're airing the live interview that took place between Kyle Winterbottom and Ranil Boteju, Group Chief Data & Analytics Officer at Lloyds Banking Group which was recorded at the end of 2023 and then transcribed into 'Exclusive Leader Feature' article in the first edition of the Driven by Data Magazine, where they discuss how analytics practitioners are at the heart of value creation at LBG, which includes; The power of purposeEvolving views of value creationThe future of analytics skills & value creationThe potential and pitfalls of Generative AI Fostering a data culture Building an intentionally different teamWhether the CDAO role will exist in 5 years**Read the magazine here; https://orbitiongroup.com/driven-by-data-magazine-home/

In Episode 20, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Anthony Cosgrove, Co-Founder at Harbr, where they discuss how data sharing is improving the data consumer experience, which includes; Building a data platform in response to huge regulatory fines Creating a business that exists to solve the challenges he had personally faced doing the jobRaising $50m to build Harbr The three key use cases that people use the platform forThe challenges of data sharing and the implication on data democratisation Why the consumer user journey is often missing The importance of scalability and reusabilityThe lack of empathy between the people creating data assets and the people using them The balancing act of value and controlThe journey of data products, data as a product, product management and data meshWhy data isn’t special - product management should be appliedWhy language is important!Why the number one challenge for CDO’s is complexityWhy you have to cross boundaries to get value from data Why democratisation requires diversity, flexibility and choice Why value comes from the user and the use case

In Episode 19, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Phillip Dale, Head of Data Governance at Marks & Spencer, where they discuss how data governance by design is enabling them to the build for the future, which includes;Why the data & analytics community is the best community in the world Making data accessible for people to leverage it Why a good governance function is one of the best commercial enablers in business The importance of having the right controls in place The value of trusted data What data governance means for ‘the business’ The role of DG in executing the data strategy How getting people to understand the benefits of good-quality data is the easy partStrategy versus Governance and understanding the true north Why you need a governance approach which keeps you fit for the future Why you need to show how commercial challenges of your organisation can be supported by governance Why keeping it simple makes things more robust and sustainable Why your job as a governance leader will never be done The challenges of being accepted by data & analytics professionals when you come “from the business”Choosing the right DG tooling and understanding your maturity Getting your tools used and minimising technical debt Prioritising what should be fixed and what doesn’t need to be Dealing with ad-hoc requests The importance of getting people on the same page with a unified narrative Why sub-par experiences and results live long in the memory Celebrating the governance trophies (wins)Why the exciting stuff is often delivered by other parts of the D&A teamData governance by design core principles and artefacts Why GenAI is a great opportunity for the governance community The eutopia of when organisations want governance rather than feel like they need it Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 18, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Susanna Moan, Chief Data Officer at Currys Plc, where they discuss how they're using data to create connections to create better customer experiences, which includes;Using Data to create customers for life The 4 key pillars of the Data Strategy and the thought behind themDefining the data strategy prioritisation roadmap Ensuring that you’re listening as a CDOFocusing on where you’ll get advocacy and usageUnderstanding the difference you’re making from a contribution perspective communications plan to market the story and benefits Aligning the business, data and customer strategies Why they have a tagline that surmises the data strategy Articulating the breadth of what a chief data office should doSegmenting the strategy into collect, protect and use The importance of thinking about usage at the beginningReducing technology costs Why data platform projects aren’t exciting to CEO’s, but what does interest themUsing data to create connected partnerships that create better customer experience and also make money Balancing the needs of intergenerational customer expectations Hyper personalisation needs and the relationship with security The role of GenAI in the world of retail and 3 internal POCs for internal use cases Managing GenAI interest from the ExCoThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 17, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Antje Bustamante, VP of Data at Funding Circle, where they discuss the role of "leadership" in Data & Analytics, which includes;Why the fun comes from generating revenue for your business and giving people amazing careers Why businesses don’t ask for data transformation Learning from personal experience the CDO/Data Leader role is undefined Why titles are often intentionally misused Why your customers won’t tell you what their problems are The importance of understanding commercial drivers and how your business makes money Changing the mindset that data isn’t a problem it’s an opportunity How data events are always focused on technology, yet you can’t find much on the topic of leadership Why aspiring leaders are concerned about losing their technical skills when they shouldn’t be The ability to change habits and mindsets Why D&A is misunderstood and is often the starting point of most of our challenges Why there is too much entitlement in Data & Analytics Leadership Data Leaders need to be ready to take on the job of educating people Why managing and leading are two different things The challenges of promoting high-performing ICs into management How 82% of all managers have never had any management training The importance of having leadership values Why it’s OK to ask for help and you don’t have to know it allWhy attracting and retaining great talent is the hardest part of leadership Finding a way to that seat if your role doesn’t grant you oneAs maturity increases, the less the Data Leadership role should be neededWhy data needs strong representation to be seen as a success Why the NED market for Data Leaders is quite hot Why commercial organisations will only truly understand the value of data when we help them make more money Why the Data Leadership role could be dead in 5 years The importance of personal development and upskilling as a leader Why she qualified as a career coach to become a better leaderWhy your success is directly linked to the success of your people Why data leaders need to change their network and bubble Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 16, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Ben Dias, Director of Data Science and Analytics at easyJet, where they discuss the lean startup approach to Data & Analytics, which includes;Being a stereotypical neurodiverse data scientist Being driven by solving problems that no one else had Working on recommendation algorithms 20 years agoIntentionally investing heavily in personal development around ‘soft skills’ Mapping out what “The Lean Startup Approach” to Data Science would beDeciding whether to stay technical or move into leadership Approaching leadership as a science Being one of the first airlines to launch their NetZero roadmap Having a CEO who drives the data agenda Not being able to build the foundations fast enough to keep up with demand How they delivered value incrementally while building the foundations How the business continued with investment in data programmes even while planes were grounded during Covid Demonstrating the value of the lean startup approachThe 6-steps practical guide to implementing the lean startup approach (article below)The benefits delivered from the lean startup approach The challenges/considerations to this approach Why you shouldn’t deliver any work until you know what “done” looks like Why you should always address the riskiest thing first The importance of not being the HIPPO as the Data Leader Why you need to align the approach to your vision Why all prioritisation conversations have to start with a conversation about valueThe importance of having a framework of measuring non-financial metrics The benefits of having a flat structure Keeping fixed costs low Why you need to have a diverse team to solve complex problemsWhy using external partners can bring “diversity of thought”Thinking outside the box to hire a more diverse team Implementing data fluency programmesUsing apprenticeships to upskill business users Thanks to our sponsor, Data Literacy Academy. Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity. If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first. At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 15, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is re-joined by Niresh Rajah, now the Group Chief Data Officer at Danske Banke, where they discuss building a Chief Data Office to support one of the largest digital transformations in financial services across Europe, which includes;Forward 28: the 5-year strategy to be a digitally orientated, customer-first, sustainable organisation Being hired to create a data-driven environment to support one of the largest FS digital transformations in EuropeConstructing ‘Data-Driven Danske’ and the 4 components of focus The 5 layers of the ‘Data-Driven Danske’ layer cake Demonstrating value from a multi-billion investment The key instigator as to why the investment has been madeAligning Forward 28 and Data-Driven Danske Building the 8 capabilities that make up a Chief Data OfficeBattling defence and offence as a large FS organisation Why faith and trust only go so far The 4 metrics to measure that change is happening Using transition states to move towards the end-goal Having executives who see the value of data as being fundamental to their customers The challenge of prioritising the best use cases due to so much demand The reality of driving change in a large legacy organisation despite the appetite to do so Fighting the war for talent to build a forward-think chief data office Delivering quick wins despite having the trust of the executive leadership team Top-Down, Bottom-Up and the Messy Middle Developing an engagement and communication approach The importance of having a talent strategy to build a world-class D&A capability Building a co-sponsored cross-skilling programme Predictive AI v Generative AI Thanks to our sponsor, Data Literacy Academy. Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity. If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first. At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve. Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 14, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Sarah Barr Miller, Director of Data & Automation at British Airways, where they discuss the reality of trying to influence change in a large, traditional organisation, which includes;Working in data straight out of University in the 90’sWhy data hasn’t historically been the focus of the organisationHow the digital experience of the business has left a lot to be desired at timesWhy the presence of safety extends culturally across the organisationHow they’ve had people working in data for over 35 years at the organisation Having deep ‘on-prem’ routesBeing the cheerleader of the team to drive change The challenges that having minimal to no attrition can bringHow they’ve upskilled and trained a large data teamBeing impatient in a world where change is slow Why they’re still using old-school tech and toolsBattling to increase the organisational expectations of the Data teamWhy the organisation doesn’t often see that data can be a solution to their issuesKicking off a big engagement and communications workstream to cater for 3 audiences Why this year will be more about bringing the work of the data team out into the daylight Being brutal in prioritising work Being open, transparent, and approachable as a leader The importance of framing ‘The Why’Generating interest from a business that had historically been trained to not make requests The polo mint analogy The transformation from governing data from a security perspective to being a value-generator The role operating model and team structure play in large-scale transformation The people puzzle; combining the why and the how Why data is at the heart of all BA transformation programmesThanks to our sponsor, Data Literacy Academy. Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity. If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first. At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve. Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In Episode 13, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Zachery Anderson, Chief Data &amp; Analytics Officer at Natwest Group, where they discuss the value that is being driven from productionising GenAI, which includes;Why GenAI feels different to any other D&amp;A hype that’s come before itHow the scale and interest is off the chartsHaving an outpost in Silicon Valley to scout new tech partners How they were working with OpenAI 18 months before ChatGPT launchedWorking with LLM’s 6-8 months before ChatGPT Having 2 LLM use cases in production and another 10 in development How there will be more direct interaction between LLM’s and customers Educating the business on the security risks Why regulation matters but customer expectation matters even moreWhy it’s important to just get started Prioritising the correct use cases &nbsp;The 5 design patterns for GenAI use cases Running the central D&amp;A function like a PE firm; it has to generate a return or it doesn’t happen The importance of killing projects that won’t deliver a return as fast as possible Having an annual target of how much the D&amp;A organisation will generate as a multiple of the cost structure The importance of having your finance team calculate and audit target Why Analytics Leaders should, but don’t do analytics on themselvesWhy GenAI will change D&amp;A team structures and operating modelWhy executive support and interest is more important than who you report toAdvice on productionising GenAI Why it really matters where your GPU’s are hosted Why you need to hold your current plans very lightly The importance of app development for LLM usage Thanks to our sponsor, Data Literacy Academy.&nbsp;Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation,&nbsp;through&nbsp;a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity. If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.&nbsp;At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.&nbsp;Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.Thanks to our sponsor, Cambridge Spark;Cambridge Spark is an education technology company that educates the workforce with critical digital transformation skills to succeed in the AI era.They offer a range of flexible learning solutions to meet business needs, from fast deployment of new skills with bespoke programmes through to longer-term investment in the workforce with apprenticeships.Their unique patented online learning platform&nbsp;<a...

In Episode 12, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Alexandra Sidgreaves, Chief Data Officer at Zurich Insurance, where they discuss the practicality of building an award-winning diverse and inclusive, Data &amp; Analytics team, which includes;Being in an organisation for 19 years Transforming from a traditional MI function to an end-to-end Data &amp; Analytics function Moving everything back in-house Spending a lot of time externally to learn from others Having the job description of “deliver value through data”Why they’ve launched their 3rd data strategy Having internally focused and externally focused strategies 25% tech, 25% value and 50% people Putting a pound amount value to what they deliver Why the business doesn’t want to talk about risk or technology, they want to talk about value The link between D&amp;A success and diversity Building an award-winning D&amp;A team Why you need to destroy groupthink and promote positive challenge Doing 175 interviews and realising they were getting a lot of the same type of applicants What they changed to attract more diverse individuals and getting 170% more applicants Why this isn’t about ticking boxes How a diverse team is simply a by-product of doing the right things Why organisations mistake Representation and Diversity The power of apprenticeships and the two ways they’ve used them The benefits of growing your own talent Tackling skills shortagesChallenging yourself when identifying the essential versus desirable skills The misconception that technical data people aren’t able to communicate Why you don’t need a data translator The link between diversity and inclusion, and Data and AI ethics The AI ethics framework and ethical committee they’ve implemented The key trends predicted from being a governing body member for DataIQ and EvantaThanks to our sponsor, Cambridge Spark;Cambridge Spark is an education technology company that educates the workforce with critical digital transformation skills to succeed in the AI era.They offer a range of flexible learning solutions to meet business needs, from fast deployment of new skills with bespoke programmes through to longer-term investment in the workforce with apprenticeships.Their unique patented online learning platform&nbsp;EDUKATE.AI&nbsp;simulates real-world industry scenarios, providing learners with instantaneous feedback on their code. This hands-on, practical approach ensures that students are learning how to apply new skills to real datasets, which accelerates the business impact they can make.Get in touch to learn more -&nbsp;Cambridge&nbsp;Spark

In Episode 11, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Dr Raoul-Gabriel Urma, Executive Chairman of Cambridge Spark, where they discuss the role of education in Data &amp; Analytics success, which includes;Creating a business out of a passion for education and technology Gaining a PhD in Computer Science at the University of CambridgeBecoming a published author The pace of technological change and transformation is becoming bigger and faster How CDOs/CIOs are constantly battling to adopt and embrace that change Creating a business out of a passion for education and technology Why there’s too much hype in the industry and the impact that has on expectations &nbsp;Why there needs to be more education around commercial use cases for business leaders What it will take for Data and AI to be a profit centre Why it’s always about people (staff and customers)The importance of being able to see the impact of your work The retention challenge; why Data and AI skills are in high demand Why you have to invest in people to keep pace with technological advances How education supports retention Why CDO tenure often disincentivises education and people investmentsHow the role of the CDO is expected to deliver ROI like any other exec roleThe power of a strong HR business partner Getting the balance of delivering quick wins while also building for and investing in the future Educational use cases from some big brand names How apprenticeship programmes can create several £m in top-line How graduate boot camps are reducing time to ROIWhy educated leaders understand how talent delivers profit Why people are the first to go when costs need to be cut Why most UK organisations don’t realise the apprenticeship levy is readily available for training existing staffHow a lack of value realisation may become a blocker for investment in education How business leaders don’t view data and AI as something that will support revenue growth Why training is needed for business leaders to understand how a data strategy delivers value Why that is the job of the CDO and the importance of sellingWhy CDOs need to take more credit for what they doUnderstanding which educational avenue is best for your organisation The benefits of career changers and reskilling &nbsp;

In Episode 10, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by David Castro-Gavino, Global VP of Data at HelloFresh, where they discuss, unboxing data maturity and insights from the HelloFresh growth journey, fuelled by data, which includes;Their focus on renewable and sustainable value to the customer Being recruited directly by the Co-Founder Removing complexity by having a unified data platformThe evidence that data has played a pivotal role in the huge growth trajectory of the organisation Why being “data-driven” is a company value Going beyond the what and understanding the why behind the data Tackling different levels of maturity across regions and breaking those silosThe symptoms of growth pains in a hyper-growth organisationDismantling certain capabilities that weren’t designed for scale Accelerating time to actionable insight The framework of 4 key pillars; People, Technology, Governance and Enablement Designing the data strategy so it was practical and linked to the business Implementing the four-pillar approach as a 6-Step recipe Talking in the language of food which the business would understand Building for the immediate requirements that needed tackling but also for the long-term visionThe importance of having the right structure, the right talent and the correct career frameworks Deciding the speed you hire at and how you’ll lose productivity The importance of data education and the HelloFresh Data UniversityBalancing build versus buy and its relation to maturity The four core dimensions of data enablement Monetising the work that has been done Walking through the 6-Step Data Recipe to get to relish feast Helping the business to adopt the technology Prioritising based on core business metrics Ensuring you’re delivering a return on investment &nbsp;The importance of stakeholder application, not just usage, in realising value &nbsp;Why you have to ensure you agree of the definition of a business metric The 4 key takeawaysMoving from data-driven to data-enabled The lessons learnt from the journey they’ve been on with implementing data-mesh Thanks to our sponsor, Cambridge Spark;Cambridge Spark is an education technology company that educates the workforce with critical digital transformation skills to succeed in the AI era.They offer a range of flexible learning solutions to meet business needs, from fast deployment of new skills with bespoke programmes through to longer-term investment in the workforce with apprenticeships.Their unique patented online learning platform&nbsp;EDUKATE.AI&nbsp;simulates real-world industry scenarios, providing learners with instantaneous feedback on their code. This hands-on, practical approach ensures that students are learning how to apply new skills to real datasets, which accelerates the business impact they can make.Get in touch to learn more -&nbsp;Cambridge&nbsp;Spark

In Episode 9, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Aimee Smith, Director of Data at Metropolitan Police (probably known as Scotland Yard by most outside of the UK), where they discuss the opportunities that Data &amp; Analytics presents to revolutionise policing and moving to prediction for prevention, which includes;Tackling Organised Crime GroupsChairing the national police data board bringing together 43 organisations Being one of the most complained about organisations to the ICOThe importance of executive sponsorship How investment is linked to your highest leadership level The biggest challenges Met Police/Scotland Yard have with data Why their people are genuinely their biggest asset and the challenge that creates for D&amp;A investment Peelian principles; why data has always been used in policing What they have done to prove their value Using credible stakeholders within the organisations to tell the data story The different levels of data-led decision-makingThe opportunity to revolutionise policing through data and analytics The challenges of being judged based on media headlines Why the obsession with catching offenders could be the wrong approach Prioritising workload in potential life and death situationsHow the public help set the organisation's business strategy Why most people don’t connect data to their core role and missionWhy their data can be valuable to UK PLC but the challenges in articulating howHow the expectations of how data is used are different within the same organisation Fixing broken relationships with the black community while also trying to deploy DS/ML with biased data Tackling bias and ethics as an organisation that people love to scrutinise Using their own DS team to test for bias Choosing not to deploy certain solutions due to bias and ethical concerns Needing to build trust with the public before they can execute on predictive analytics A shout-out to Davin Crowley SweetThanks to our sponsor, Cambridge Spark;Cambridge Spark is an education technology company that educates the workforce with critical digital transformation skills to succeed in the AI era.They offer a range of flexible learning solutions to meet business needs, from fast deployment of new skills with bespoke programmes through to longer-term investment in the workforce with apprenticeships.Their unique patented online learning platform EDUKATE.AI simulates real-world industry scenarios, providing learners with instantaneous feedback on their code. This hands-on, practical approach ensures that students are learning how to apply new skills to real datasets, which accelerates the business impact they can make.Get in touch to learn more - Cambridge Spark

In Episode 8, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by James Morgan, Chief Data Officer at The Crown Estate, where they discuss all of the facets involved in building a Data &amp; Analytics capability for strategic transformation while managing the hype cycles, which includes;The importance of having the right information strategy Why D&amp;A needs to be involved in strategic planning Why you have to identify which stakeholders deliver value for the organisation How too many data teams are focusing on solutions instead of objectives Choosing objectives that will deliver the best ROI &nbsp;Why diverse teams are critical for success with D&amp;A Balancing the immediate needs and the strategic visionDefining what your core capability needs to be Ensuring you enable the business so they don’t do it themselves Why all hype cycles only exist to help deliver an outcome &nbsp;Why choosing the right tools can be critical Why some hype cycles have been hugely advantageous The importance of identifying where the nuggets of real change lie within any hype cycle Why the fundamentals of good data practice are still applicable today Why prototyping is beneficial but it can’t be your main approach Why AI isn’t the answer to everything Why not all hype cycles are created equally How people confuse operating model and team structure Trying to hire unicorns and writing 35 different job descriptions to build a team Why your data team should represent the population Why you have to truly believe in building a diverse team Why being obliged to fill a diversity quota or target is the wrong approach Why you’ll only ever gain credibility by delivering something that people want and use Needing to get your organisation to the place of believing that data is intrinsic to its success Attributing the value of your work before you deliver anything

In Episode 7, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Tim Carmichael, Chief Data Officer at Chaloub Group, where they discuss the role of servant leadership in Data &amp; Analytics success, which includes; Being the first CDO in the British Army Why the remit of all CDOs should be to enable evidence-based decision-making Solving the challenge of helping organisations find the tantalisingly out-of-reach valueWhy servant leadership is the type of leadership needed to get value from dataWhat servant leadership is NOT!Why to be a servant leader you need to have a fundamental shift in mindset Why you have to play to your people’s strengths and not agonise over their weaknesses People are 6 x more effective if they’re playing to their strengthsWhy you have to help people understand the context of decisions The twin facets of the role of the Data Leader The role of trusting partnerships and the importance of communication Why you can never get to value without trust How moving away from “then and us” is the secret sauce to unlocking valueThe difference between leadership, line management and mentorship To be a great influencer you need humility and courageWhy being an enabler doesn’t mean you’re less important Why, amateurs talk tactics, professionals talk logistics Why Gen AI is unlocking awareness of Data Literacy Why ruling through fear means you can kiss goodbye to innovation How servant leadership is not servile Aligning team structure and operating model to play to people’s strengths Why communication is just a form of marketing Learning the hard way that beauty is in the eye of the beholder

In Episode 6, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Ciara Moore, Chief Data &amp; Digital Officer at Bank of Ireland, where they discuss how to sell your data story and why you have to be customer-obsessed, which includes;Why language is importantWhy you need to be customer-obsessedThe relationship between data and providing better customer experiencesData-Driven or Customer Obsessed Why you should never start with the data Why customer experience is very “touchy-feely” The importance of protecting your customer's data in a way they want it to be used The importance of first principlesUsing AI to measure the emotions of your customersWhy it’s on Data Leaders to quantify the value of the work we do Why it’s never enough to build foundationsPicking the appropriate use cases as a starting point Why you have to deliver “little and often” &nbsp;Why it’s always a tough journey for 12-18 monthsWhy you need to tell the story and tell it in a way that resonates with your organisation Why you need to be cautious about how you frame the art of the possible The importance of using different channels of communication to tell and sell your story People get it when the language changes The importance of letting your D&amp;A team present to business stakeholders Why you need to take a hands-on approach to storytelling as a Data Leader The power of creating more capacity for your team to do more interesting work

In Episode 5, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Kate Sargent, Chief Data Officer at The Financial Times, where they discuss the importance of getting data into the boardroom to ensure D&amp;A success, which includes;Why data strategies often articulate the role that data can play and not often what it will playWhat should be included in your data strategy Understanding the business strategy and objectives if it’s not obvious Why D&amp;A teams need to constantly reinvent themselves Why you need to befriend your commercial/finance colleagues Transcend D&amp;A into the boardroom by meeting people where they are Why it’s imperative that you’re easy to work /do business with The need for a voice in the boardroom for D&amp;A to be successful Why very few other functions have or need a strategy but data still does Why new tools and techniques should be additive, not substitutional Why the “old school” work is still where the most value is derived Why finding the right balance of the team structure will underpin the success of any Data Leader &nbsp;The importance of staying alert to disengagement Identifying the issues and choosing the solution to fix themWhy ‘data product’ demonstrates the growing-up of data as a discipline The differences between ‘data product’ and ‘data as a product’ and why the differentiation mattersDriving top-down and bottom-upWhy data is viewed as important but not urgent (and how to create urgency)The power of demonstrating the risk of missed opportunities to drive change

In Episode 4, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Kinnari Ladha, Chief Customer Data Officer at Manchester Airport Group (MAG), where they discuss what it takes to make the move from leading Data &amp; Analytics teams, to becoming a CDO, which includes;The major differences between leading Data &amp; Analytics teams and being a CDOWhy you have to leave your Data Analytics hat at the door and focus on business strategy Why you need to manage your leadership style to handle emotions and politics The importance of trust and empowermentCulture, Change and Relationship Building Why you have to measure the impact of the business outcomes you’re supportingThe telltale signs that you’re ready to execute Why operating as an executive requires a totally different skillsetThe importance of diversity of thought and resilience Understanding pain points and value levers Why you need to have a growth mindset to step up to become a CDOHow to assess whether a CDO title is actually a CDO role Do we really need a voice at the table?Why you need to move the perception of your team from service provider to partner The importance of understanding how your stakeholders mange their P&amp;LWhy you need a communications plan to dictate your own narrative Striking the balance between strategy and execution Why you’ve got to hold yourself to account for milestones and deliverablesThe art of data storytelling as a CDOCommunicating your vision in a way it resonates to different audiences The impact of being seen as a ‘thought-leader’ and why it’s important Learning to read the room