Ten Signs of Data Science Maturity


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How well prepared is your organization to innovate, using data science? In this report, two leading data scientists at the consulting firm Booz Allen Hamilton describe ten characteristics of a mature data science capability. After spending years helping clients such as the US government and commercial organizations worldwide build innovative data science capabilities, Peter Guerra and Dr. Kirk Borne identified these characteristics to help you measure your company’s competence in this area.

This report provides a detailed discussion of each of the 10 signs of data science maturity, which—among many other things—encourage you to:

  • Give members of your organization access to all your available data
  • Use Agile and leverage «DataOps»—DevOps for data product development
  • Help your data science team sharpen its skills through open or internal competitions
  • Personify data science as a way of doing things, and not a thing to do


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O'Reilly Media spreads the knowledge of innovators through its books, online services, magazines, research, and conferences. Since 1978, O'Reilly has been a chronicler and catalyst of leading-edge development, homing in on the technology trends that really matter and galvanizing their adoption by amplifying "faint signals" from the alpha geeks who are creating the future. An active participant in the technology community, the company has a long history of advocacy, meme-making, and evangelism.

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