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 world
• How 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 businesses
• Why you should commercialise data both internally and externally, simultaneously
• The importance of changing how you think
• Why 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 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 tenure
• How 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 scale
• Why 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 this
• Why some businesses won’t need a CDO
• How ROI can be seen within 6 months & it could cost up to 200m
• Why it’s essential to have an official communication strategy & budget to drive change
• What those type of comms strategies could consist of
• Why experimentation and innovation are essential but seen as the nemesis within the business
• What organisation should be considering to decide whether to appoint a CDO
• The key things Data Leaders should be thinking about before taking a CDO role

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 Valley
• Why 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 products
• Why 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 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 2021
• Why your insights are only as good as the change you can drive
• Why 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 question
• Why 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 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 value
• How you should prioritise
• Who 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" game
• How speed ultimately underpins value
• The 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 financial
• Why 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 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 masses
• The Data Literacy spectrum
• The role that Learning Management Systems can play within organisations
• The importance of creativity to change the mindset
• Translating 'Maslow's Hierarchy of Needs' into Humanising Data
• Why your Data & Analytics team should spend time on the front-line
• The relationship between Culture, Literacy, Creativity and Maturity

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 Taxonomy
• How 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 that
• The cyclical resurgence of Data Management
• How to balance the foundational aspects alongside innovation
• The importance of how you articulate the significance of Data Governance