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.
- 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
Gartner Recommended Reading