S3 | Ep 7 | Phase 1 Transformation; The Strategy & Investment with Vlad Jiman, Director of Data at NBrown Group

<p>In Episode 7 of Season 3, of Driven By Data: The Podcast, Kyle Winterbottom is joined by Vlad Jiman, Director of Data at NBrown Group, where they discuss formulating a winning data strategy to secure investment for phase 1 data transformation, which includes;</p><ul><li>Being involved in the largest IPO on London Stock Exchange </li><li>The overinvestment in Data Science </li><li>The award-winning Data Transformation at Pets at Home </li><li>In charge of one of the 5 key strategic pillars of a UK Top 10 online retail organisation</li><li>The heritage of NBrown Group and how they were the first organisation to send products direct to consumer via post </li><li>How they moved Data from an enabler to a key strategic pillar within the PLC</li><li>Why you have to have a holistic approach, not a tactical one </li><li>The three pillars of the data strategy that he has put together</li><li>The importance of speed </li><li>Building a cloud native, end to end data platform </li><li>Why most organisations are still paying lip-service to Data Culture </li><li>Why everything has to start with “Why?”</li><li>How data immaturity can mean investment in data has better returns than investment in other parts of a business </li><li>Why most CEO’s no longer need to be convinced of data</li><li>Why you can move a lot quicker than people think</li><li>Why the organisation will drive the transformation if done properly</li><li>Why a breaking point in a transformation with new people can be a good thing </li><li>Why the operating model should be the first priority to get right </li><li>Why tech is one of the things that can help you outpace the competition if you know what you’re doing </li><li>Why Data Governance is now done in a more sophisticated way</li><li>Identifying Data Champions in the boardroom</li><li>Why there are so many issues with “Data Literacy” </li><li>Data Culture = The trifecta of; curiosity, access, and knowledge </li><li>The reasons why most Data Strategies fall down the hole </li><li>The skillset/experience th