Gartner Research

Grow Data Science and Machine Learning Success by Aligning Roles With Project Phases

Published: 15 February 2019

ID: G00355616

Analyst(s): Shubhangi Vashisth


Different resources and activities are required at each data science and machine learning project phase. Data and analytics leaders should use this research to guide associated business, data science and IT resource and activity assignments.

Table Of Contents
  • Key Challenges



  • Phase 1. Business Problem Identification
  • Phase 2. Data Collection and Persistence
  • Phase 3. Data Preparation and Exploration
  • Phase 4. Model Development and Testing
  • Phase 5. Operationalization: Model Deployment and Maintenance
  • Phase 6. Measure Success
  • Phase 7. Governance and Security

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