Driven by Data: The Podcast

In Episode 41 of Season 2, on Driven By Data, Kyle Winterbottom is joined by Senior Vice President of Customer Analytics & Marketing at Popular Bank, Alyssa Elser, where they discuss how combining different disciplines can help unlock the power of Data, which includes: The process of building the CA function from scratchWhy this was on the business agenda and its purposeSpecific disciplines that have been merged together and how this was decidedWhat this means in reality, in terms of what it allowed Alyssa to createThe benefits and challenges of building the CA function Details regarding the team at Popular Bank e.g. sizeBenefits of coupling Data & Analytics with research How the element of cultural change was managed/addressed amongst the new function build How all of this tied back to the Data/Insights strategy as-well as the Business strategy

In Episode 40 of Season 2, on Driven By Data, Kyle Winterbottom is joined by, Maggie Remynse, Vice President for Curriculum for Data Camp, where they discuss how Data Education is the foundation of value creation, which includes: The role Data Literacy has in Digital Transformation Why Data Education is so important in data analytics Why organisations should conduct a skill-gap analysisWhat needs to be included for this to be done successfully How organisations can upskill their employees How to manage expectations around what business leaders expect, regarding upskilling The, not so obvious, benefits of upskilling How to approach differences between skill gaps and data literacy gaps What some of the successful Data Literacy programmes do that others don't How to reach Maggie for more information regarding her profession and opportunities

In Episode 39 of Season 2, on Driven By Data, Kyle Winterbottom is joined by People Analytics and Insight Director at HMRC, Ian Wallis, where they discuss how the combination of people and analytics is a recipe for success, which includes: Discussion around Ian's published book, what led to writing it, and the main goal of it The gap between the theory and the reality of data implementation Anything during the research phase that surprised IanHow to go about building a high-performance team and how to know when you are actually "there"Why despite most businesses struggle to attract and retain talent, people analytics remains one of the lowest adopted areas of analytics The role of the People Analytics functionHow People Analytics differs to working in the customer arena What is considered the measure of success in influencing an organisation the size of HMRCWhere the battle for talent stands in the future

In Episode 38 of Season 2, on Driven By Data, Kyle Winterbottom is joined by, Eva Murry, Lead Evangelist for EMEA Region at Snowflake, where they discuss why you don't need to be technical to achieve in Data Analytics which includes: How people from outside the Data industry can position themselves as the desired candidate, in today's competitive marketReasons someone would want to start in the Data Analytics communityThe importance of networking Where you can go to find valuable resources How data democratisation leads to a truly data-driven businessThe role Data Literacy plays in data democratisationHow "non-data/technical" people drive us forward in these areas The benefit of data communities and organisations planning to develop in this spaceWhy leaders should invest in data collaborationTips on how organisations create a true data culture

In Episode 37 of Season 2, on Driven By Data,  Kyle Winterbottom is joined by Consulting Partner for Mesh-AI, Sean Robertson, where they discuss the difficulties of Productionising Machine Learning, which includes:The Mesh-AI story Reasons why so many organisations struggle to get ML into production Discussion around whether sector matters Specifics that need to be considered with regards to Data ManagementThe non-technical components that must be respected Identifying when an organisation is ready for MLDifferences in what companies are doing or not doing, which determines their successAn idea to what ML looks like over the next 3-5 years

In Episode 36 of Season 2, on Driven By Data, Kyle Winterbottom is joined by, Major George McCrea, Chief of Staff & Captain Luke Parker, Senior Technical Officer at the National Centre for Geospatial Intelligence, where they discuss data-driven decisions that can be life or death which includes:Reasons they believe they were listed in this years Data IQ 100Cases where the work they have done with Data played a crucial role, including COVID, Adventure Training, HADR and Carbon SequestrationHow they constitute the concept of value as a non-commercial organisation Exploring how combining people, process and technology differs from the commercial world and in the forces How investment in people is continually encouraged and pushed forward in the forcesHow, as a team, they justify investment in their area of the forcesAn insight into their futureListen now via the comments 👇

In Episode 35 of Season 2, on Driven By Data,  Kyle Winterbottom is joined by former CDO of Virgin Media O2, Eddie Short, where they discuss how to make your data your competitive advantage, which includes:What companies that are winning with data are doing that others aren’t The role of Data in Digital Transformation The relationship between the CDO and the CIO Where the CDO should report Why most organisations still think Data & Analytics is ITHow ordinary businesses start to try and compete with the likes of AmazonWhat constitutes being a Data-Driven businessGetting data recognised by the business as an asset Why good customer experience is a pre-requisite and what truly makes the difference

In Episode 34 of Season 2, on Driven By Data, Kyle Winterbottom is joined by, Dione Rayside, CRM Director at Engine UK, where they discuss how organisations can compete, grow and win by being customer-focused, which includes:Her unique career path from HR to Sales to Data/CRM Leader and why she used to be embarrassed about it, but what it’s given her Why an interest in people is key to successThe importance of allyship in succeeding as a “diverse” individual in Data & AnalyticsHow Engine Transformation are walking the walk with Diversity & Inclusion and the award they recently won for thatWhy customers now see a "brand" and not "products" The importance of a seamless digital experience and not hard to do business withHow customers' wants, needs and desires have changedHow you tie CRM back to the wider organisation How organisations best utilise CRM/Data to compete, grow and winWhat the companies that are succeeding with customer data are doing that the ones who aren’t, don’tThe reality of 1:1 personalisation The importance of communication packs to deepen customer relationships

In Episode 33 of Season 2, on Driven By Data, Kyle Winterbottom is joined by, Founder of Designing Analytics, Brian O'Neil where they discuss the impact of the design on analytics which includes:Why nobody really wants your team’s data science and analytics…even if they ask for itThe #1 non-technical hurdle to achieving business value with data and why teams continue to failWhat data science and data product teams can learn from software product teams about building useful, usable, high-value digital solutionsHow data product teams and leaders can leverage design to become innovation partners to their internal stakeholdersWhy design is not just about UX and data viz when it comes to data products The 3 types of people data product teams need to be considering when creating solutionsHow to turn raw data into a valuable data product or intelligence application The designer vs. data practitioner approaches to changing users’ behaviour and why data literacy may not be the issueThe roles and skills missing from most enterprise data science and analytics teams Approaching data products from the last mileDesign V  Design ThinkingWhy are teams so often creating technically right, effectively wrong data products?

In Episode 32 of Season 2, on Driven By Data, Kyle Winterbottom is joined by, Machine Learning Engineering Lead, Andy McMahon where they discuss demystifying MLOPs which includes:What is MLOpsWhat constitutes valueWho should “do” MLOps How do you know you're doing it wellWhen should it be implementedWhy are companies getting it wrongThe misconceptions about MLOpsSuccessful case studies that have proved the tangible valueHow organisations and business leaders deal with the ever-changing tech/data/analytics landscape