Gartner Research

Follow 4 Data Science Best Practices to Achieve Project Success

Published: 06 January 2020

ID: G00464337

Analyst(s): Erick Brethenoux , Jim Hare , Afraz Jaffri , Alexander Linden , Carlie Idoine


Data science and machine learning initiatives are increasingly popular, but they frequently fail to realize business value due to mistakes in project execution. Data and analytics leaders should follow four best practices in order to achieve project success.

Table Of Contents
  • Key Challenges



  • Capture Business Requirements to Ensure Models Can Perform at Scale as Well as Delivering Proofs of Concept
  • Streamline Data Collection Using Minimal Viable Datasets
  • Find the Balance Between Accuracy and Value Using Minimum Viable Models
  • Engage Stakeholders and Communicate Value Through Data Storytelling

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