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

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;Being involved in the largest IPO on London Stock Exchange The overinvestment in Data Science The award-winning Data Transformation at Pets at Home In charge of one of the 5 key strategic pillars of a UK Top 10 online retail organisationThe heritage of NBrown Group and how they were the first organisation to send products direct to consumer via post How they moved Data from an enabler to a key strategic pillar within the PLCWhy you have to have a holistic approach, not a tactical one The three pillars of the data strategy that he has put togetherThe importance of speed Building a cloud native, end to end data platform Why most organisations are still paying lip-service to Data Culture Why everything has to start with “Why?”How data immaturity can mean investment in data has better returns than investment in other parts of a business Why most CEO’s no longer need to be convinced of dataWhy you can move a lot quicker than people thinkWhy the organisation will drive the transformation if done properlyWhy a breaking point in a transformation with new people can be a good thing Why the operating model should be the first priority to get right Why tech is one of the things that can help you outpace the competition if you know what you’re doing Why Data Governance is now done in a more sophisticated wayIdentifying Data Champions in the boardroomWhy there are so many issues with “Data Literacy” Data Culture = The trifecta of; curiosity, access, and knowledge The reasons why most Data Strategies fall down the hole The skillset/experience that Data Leaders require to succeed with Data Strategy and Transformation Faith, Fear and Finance; the 3 pillars of a business caseWhy data is likely to cost 10-15% across every transformational project