Gartner Research

China Summary Translation: 'How to Choose the Right Data Science and Machine Learning Platform'

Published: 20 August 2019

ID: G00434004

Analyst(s): Melody Chien , Carlie Idoine


The data science and machine learning platform market is crowded and complicated. To choose correctly, data and analytics leaders must assess their organization’s analytics maturity, define business-driven requirements and segment vendors’ platforms into clusters for evaluation.

Table Of Contents



How to Choose the Right Data Science and Machine Learning Platform

  • Key Challenges
  • Recommendations



  • Assess Your Current Data Science and Machine Learning Maturity
  • Assess the End-to-End Analytic Pipeline and Life Cycle
  • Segment Platforms Into Appropriate Clusters to Assess Similarities and Differences
  • Evaluate Vendor and Platform Capabilities and Market Trends
  • Invest in Hiring and Skills Building for the Data Science Team

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