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S4 | Ep 36 | The Delineation Between Business and Technology with Chris Daniels, Chief Data Officer (Corporate Bank) at Deutsche Bank
Episode 369th July 2024 • Driven by Data: The Podcast • Orbition Group
00:00:00 00:47:03

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In Episode 36, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Chris Daniels, Chief Data Officer (Corporate Bank) at Deutsche Bank, where they discuss the delineation between business and technology, which includes;

  • Why organisations haven’t put data as a first-order citizen historically
  • Avoiding unnecessary transformation of our data
  • Finding good, opportunistic data science use cases within sales and product teams
  • Why the things we built 18 months ago we’d never dream of building today
  • Having the right conditions for success as a CDO
  • Why you’ll never have an enduring model that is right for all situations at all times
  • The move from centralised to distributed structures to align with product lines
  • Why extreme centralisation doesn’t work
  • Making data everyone’s problem
  • Why where data is homed in an organisation can matter
  • Why to be successful it has to be a topic of importance at the board/exco level
  • Where it sits is irrelevant if it isn’t a topic of importance at that level
  • The importance of creating a common purpose
  • Why reporting lines should matter to D&A professionals if they want to grow
  • Why you need to be both business and technology literate to succeed as a D&A team
  • How the lines are blurring between business and tech
  • The importance of cross-functional teams
  • Why automation is increasing the need for better technology expertise and focus
  • The importance of real-time observability
  • Upskilling as someone from a non-technology background
  • Why industry events are a necessity for learning
  • Why process reengineering will be a key to success in a rapidly evolving world
  • The importance of AI literacy at the exec level so they can reshape their thinking
  • Not believing in data strategies
  • The importance of explainability
  • Why it’s necessary to think beyond the first-wave of GenAI possibilities

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