Announcement: Data Teams Is Out!

Blog Summary: (AI Summaries by Summarizes)
  • "Data Teams: A unified management model for successful data-focused teams" is now available for purchase.
  • The book is based on years of work and research, helping teams start and fix data teams.
  • The book shares a unified model for building successful data teams, including the three fundamental teams: data science, data engineering, and operations.
  • The book answers common management questions about data teams, such as how to start a data team, how to recognize and head off problems, and how to hire or promote staff.
  • The book includes contributions from other data and analytics luminaries and in-depth interviews with top companies on how they run and structure their teams.

I’m thrilled to announce that Data Teams: A unified management model for successful data-focused teams is available for purchase! My goal is to drive a real increase in the percentage of successful big data projects.

Data Teams represents years of work and research, helping teams start and helping fix data teams. It isn’t an academic book filled with my theories about how data teams might work or how I’d like them to work. It shares my extensive experience in helping companies create value with data in the real world. Because of my consulting services, I’ve been able to work with many organizations and industries worldwide. I was able to see the patterns and commonalities because I had access to a large sample of data, and I could experiment with the best practices.

Some books cover how to create analytics or data science teams. The problem is that they try to solve every problem with just a data science or an analytics team. They don’t share a unified model for creating value with all of the data teams. Data Teams shares a unified model for building successful data teams. Being successful includes ensuring you have the three fundamental teams: data science, data engineering, and operations. Without all three teams, the data teams won’t achieve their highest and best output.

The book answers common management questions about data teams:

  • Are you starting a data team and don’t know where to start?
  • Are your data teams working but not producing, and you don’t know why?
  • Do the teams have the right people and skills for the job?
  • What kinds of skills to look for in staff?
  • How to hire or promote staff?
  • How should the teams interact with each other as well as with the larger organization?
  • How to recognize and head off problems in the data teams?

It’s important to note I didn’t want the book to just reflect my ideas and perceptions. There are contributions to sections from other data and analytics luminaries. I did in-depth interviews with the top companies on how they run and structure their teams, and include their contributions.

You can visit the book’s website to get more information and extras.

 

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