Gartner Research

Organizational Principles for Placing Data Science and Machine Learning Teams

Published: 18 September 2017

ID: G00325989

Analyst(s): Alexander Linden , Peter Krensky


Organizations of all sizes are scrambling to hire data science and machine learning talent. Data and analytics leaders should understand the advantages and disadvantages of common organizational approaches to data science as part of their larger analytics and business intelligence strategies.

Table Of Contents


  • Introduction
  • Analysis
    • Deploying Data Science in the Lines of Business
    • Deploying Data Science in the IT Department
    • Deploying Data Science in a Separate Department
    • Deploying Data Science in the LOBs and the IT Department
    • Deploying Data Science in a Lab Environment

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