Driven by Data: The Podcast

In Episode 33 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Marie Hense, Data & Product Strategy Director at Lumina Intelligence where they discuss what needs to be considered when acquiring data, which includes:The importance of providing the right data, in the right format for every kind of data user The importance of using data to contextualise your own data Why it’s imperative to think about how you’ll integrate external dataWhether purchasing data will be worth the investment How many organisations often purchase the same data sets over and over again Why having good Data Management makes your investment go further How silo’s within an organisation can increase the money that’s spent on data acquisition Why organisations spend money on acquiring data even though they’ve already got it internally The relationship between wastage, investment and data management What you need to understand to make sure your data gets used properlyHow the format of data has implications on usage and storage

In Episode 32 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Andrew Burgess, Founder of Greenhouse AI, where they discuss how to build an AI strategy to get people onto that journey, which includes:Why you need an AI strategyWhy it’s important to try and make AI boring for people What AI can’t do but what everyone thinks it isWhat most organisations are using AI to achieve The importance of understanding AI maturity before committing to it The framework in how to talk about AI to business leaders The correlation between Data Maturity and AIThe mentality leap required to move from Analytics to AI Why there are often 40-50 opportunities for AI Data Strategy versus AI Strategy How to prioritise AI implementation The risk of over dependence on AIWhy most people give AI more credibility than it’s dueHow to figure out the art of the possible The process of developing an AI strategy Why you need to think big but act small Why organisations fall into the never-ending proof of concept loopThe growth of MLOps

In Episode 31 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Lynne Bailey, Chief Data Officer at KPMG, where they discuss why the industry needs a taxonomy, which includes:Why we can’t assume that just because we are talking about the same word, that you mean the same thing Why we need a Data TaxonomyHow she is going about building one and where to start The typical terms that are often confused How to validate definitions across the organisation The need for segmentation within Data Literacy The benefits of building a taxonomy Why we still require some optionality The need for an industry culture that creates acceptance around not knowing what these terms mean Could our industry thought-leaders help to create standards around terminology and definitions? The relationship between Data Mapping and Data Literacy and Data Culture How AI/ML should be the ambition for all organisations but not many are ready for thatThe cyclical resurgence of Data Management How to balance the foundational aspects alongside innovation  The importance of how you articulate the significance of Data Governance

In Episode 30 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Daryl D'Cruz, Founder & Director at Hexdon, where they discuss how creativity and literacy play their part in humanising data, which includes:Why people are an asset just as much as data & technology The importance of the storytelling narrative Why we must make data more relatable to the massesThe Data Literacy spectrum The role that Learning Management Systems can play within organisations The importance of creativity to change the mindsetTranslating 'Maslow's Hierarchy of Needs' into Humanising DataWhy your Data & Analytics team should spend time on the front-line The relationship between Culture, Literacy, Creativity and Maturity

In Episode 29 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Edosa Odaro, Head of Data at AIG, where they discuss the role that speed plays when determining value, which includes:Understanding what we mean by "value"Why there are a least 4 ways to think about valueHow you should prioritiseWho is responsible for providing value Why focusing solely on value from a commercial perspective can have detrimental consequences How value does not have to be a "zero-sum" gameHow speed ultimately underpins valueThe relationship between speed, impact and value Why organisational structures increase the time it takes to achieve change Why the cost of change isn’t always financialWhy we need to think about speed from an internal and external perspective Why culture is imperative for success with AI Why we need to talk more about the resistance towards AI and not just the benefits

In Episode 28 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Tom Spencer, Head of Customer Data Science at Aviva (and Data IQ 100 No.9) where they discuss the relationship between customer-centric and data-driven, which includes:His experience of working in different cultures in Asia Why he thinks he was listed at Number 9 in the Data IQ 100 2021Why your insights are only as good as the change you can driveWhy he focuses on shifting from "Reactive Servants" to "Proactive Partners" How he lives by the quote; "You tell us what you want and we’ll tell you what you need”The importance of understanding the real questionWhy there is still a place for instinct despite being data-driven Why customer-centric and data-driven aren’t mutually exclusive Why being truly customer-centric only works if it’s ingrained into the company culture The danger of conflating customer-centric with doing anything for the customer Why it’s equally important to identify the customers you don’t want as it is understanding who your best customers are The importance of hiring in the quest to be customer-centric  The 3 phases by which to measure the success of the customer-centric approach  Why measuring the impact your work has on your customers is better than attempting to measure ROI  The difference between a customer-centric organisation versus a product/service-centric organisation The role of the board in being customer-centric Why connecting what’s important to the customers to what’s important to the stakeholders is critical

In Episode 27 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Steen Rasmussen, Founder & Director at IIH Nordic, where they discuss how to activate data to drive business value, which includes:How he ended up as a keynote speaker in Silicon ValleyWhy dashboards don’t facilitate action How data activation correlates action and the bottom line Why reporting has become an alibi in analytics How many organisations calculate costs to the point of insight but fail to factor in the cost of change Why we often underestimate the value lifecycle in analytics How and why we should calculate the cost of inaction   Why customer lifetime value is one of the key metrics in business The importance of focusing on margins and not just value Why we are obsessed with revenue and not profit The importance of understanding the end to end cost structure to sell your productsWhy marketing agencies can’t add value to the bottom line, only the top line Why the notion of “sell more to earn more” is a fallacy Data isn’t the new oil because it doesn’t retain value, it’s more like meat because it spoils What companies need is a data-driven business developer but what they often hire is a “number accountant”

In Episode 26 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Chris Bannocks, Chief Data Officer at Danone, where they discuss the trials and tribulations surrounding the current CDO role, which includes:Why the average tenure of the CDO is only 2 years That many boards haven’t realised this needs to be a strategic priority How the eagerness to obtain a CDO role is contributing to the tenureHow most boards are dipping their toe into the water The type of questions you should be asking to gauge the readiness for the role in the organisation Why it’s important to recognise the difference in scaleWhy coming from a technical background is advantageous, but that alone isn’t enough Why the appointment of "Non-Exec Data Leaders" will be an indication of maturity How the consultancy organisations are playing their part in thisWhy some businesses won’t need a CDOHow ROI can be seen within 6 months & it could cost up to 200mWhy it’s essential to have an official communication strategy & budget to drive change What those type of comms strategies could consist ofWhy experimentation and innovation are essential but seen as the nemesis within the businessWhat organisation should be considering to decide whether to appoint a CDOThe key things Data Leaders should be thinking about before taking a CDO role

In Episode 25 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Dan Raine, CEO & Founder at Unlocked Data where they discuss how to monetise data through building sellable products.After being responsible for monetising data through sale at a large global brand, Dan decided to start his own business in that space.We discuss:How he became responsible for commercialising data as an asset to be sold in the corporate worldHow they build data products and services which help organisations productise their data as a sellable asset How this is applicable to every type of organisation, not just data or tech businessesWhy you should commercialise data both internally and externally, simultaneously The importance of changing how you thinkWhy it's an easier conversation to have to obtain buy-in Why it’s hard to quantify commercialising data internally versus externally How it gives you the ability to win new customers for the business The importance of making the customers the hero in your data storytelling The barriers to entry Why you have to focus on "pain relievers" and "gain creators"Why most organisations aren't set-up to deliver this themselves

In Episode 24 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Helen Brown, MD of ITK where they discuss how to make the most of your data assets by optimising data utility. After spending many years working for the NHS where she took a national role to advance data, governance and intelligence capabilities, Helen decided to start a training business focused on helping organisations improve data utility. We discuss: Why organisations tend to fall into one of three categories How to find the middle groundWhy many organisations are diluting the effectiveness of their data without even knowing The importance of understanding what you need to use your data forWhy you need to do a Data Protection Impact Assessment The importance of choosing the correct controls for specific situations Why there needs to be more collaboration between governance and analytics teamsWhy it's easy to create unintended bias The relationship between data privacy and data accuracy Why skill-sets need to merge to better understand utility constraintsThe importance of minimisation How you can use training as a control measure How the application of privacy controls can affect the utility of your data The importance of minimising data the right way, at the right stage of the lifecycle