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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
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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 builtThanks 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.
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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 meetingsThanks 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.
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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
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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
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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 studyA joint INSEAD research project by:
Theodoros Evgeniou, INSEAD Business SchoolCaroline Zimmerman, ProfusionOlly Blaydon, Armstong InternationalShahbaz Alam, AWS
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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
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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/
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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
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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 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.
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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.
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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 bubbleThanks 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.
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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 usersThanks 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.
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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 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.
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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.
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In Episode 13, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Zachery Anderson, Chief Data & 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&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 The 5 design patterns for GenAI use cases Running the central D&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&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&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 usageThanks 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.
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
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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 & Analytics team, which includes;
Being in an organisation for 19 years Transforming from a traditional MI function to an end-to-end Data & 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&A success and diversity Building an award-winning D&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 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
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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 & 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 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
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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 The importance of stakeholder application, not just usage, in realising value 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-meshThanks 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
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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 & 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&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
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