Ten Signs of Data Science Maturity

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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Peter Guerra

Peter Guerra is a Vice President in Booz Allen Hamilton’s Strategic Innovation Group co-leading the Data Science team. He has 15 years of professional experience applying computer science servicing US Federal, Commercial and International clients. His specialty is in highly available, large-scale distributed systems and advanced analytics, and is responsible for leading several large-scale analytics and big data computing projects. He has been a software and security consultant to government and commercial organizations throughout his diverse IT career, focusing on software development, systems engineering, and highly available system design. Mr. Guerra holds an MBA from Loyola University, a B.A. degree in English and B.S. degree in Computer and Information Science both from University of Maryland.

Kirk Borne

Dr. Kirk Borne is the Principal Data Scientist at Booz Allen Hamilton (since 2015). He supports the Strategic Innovation Group in the area of NextGen Analytics and Data Science. He previously spent 12 years as Professor at George Mason University in the graduate (Ph.D.) Computational Science and Informatics program and undergraduate (B.S.) Computational Data Sciences program. Before that, he worked 18 years on various NASA contracts -- as research scientist, as a manager on a large science data system contract, and as the Hubble Telescope Data Archive Project Scientist. His PhD is in Astronomy from Caltech. He has applied his expertise in science and large data systems as a consultant and advisor to numerous agencies and firms, focusing on the use of data for discovery, decision support, and innovation across many different domains and industries. He is also a blogger (rocketdatascience.org) and actively promotes data literacy for everyone by disseminating information related to data science and analytics on social media, where he has been named consistently since 2013 among the top worldwide influencers in big data and data science. Follow him on Twitter at @KirkDBorne.