Data Strategy: Key Principles and Best Practices - Boyan Angelov

DataTalks.Club

We talked about:

  • Boyan's background
  • What is data strategy?
  • Due diligence and establishing a common goal
  • Designing a data strategy
  • Impact assessment, portfolio management, and DataOps
  • Data products
  • DataOps, Lean, and Agile
  • Data Strategist vs Data Science Strategist
  • The skills one needs to be a data strategist
  • How does one become a data strategist?
  • Data strategist as a translator
  • Transitioning from a Data Strategist role to a CTO
  • Using ChatGPT as a writing co-pilot
  • Using ChatGPT as a starting point
  • How ChatGPT can help in data strategy
  • Pitching a data strategy to a stakeholder
  • Setting baselines in a data strategy
  • Boyan's book recommendations

Links:

  • LinkedIn: https://www.linkedin.com/in/angelovboyan/
  • Twitter: https://twitter.com/thinking_code
  • Github: https://github.com/boyanangelov
  • Website: https://boyanangelov.com/

Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

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