Gartner Research

15 Insights for Managing Data Science Teams

Published: 19 October 2018

ID: G00369045

Analyst(s): Peter Krensky, Neil Chandler, Alexander Linden, Carlie Idoine

Summary

Data science management is an emerging discipline without many clearly defined strategies. Gartner presents a series of insights aimed to help data and analytics leaders overcome some of the challenges of hiring and managing data science teams.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Insight No. 1: Use All Options for Hiring
  • Insight No. 2: Manage the Expectations of New Data Science Job Candidates
  • Insight No. 3: Implant Team Diversity
  • Insight No. 4: Care for Onboarding Data Scientists
  • Insight No. 5: Continuously Secure C-Level Support
  • Insight No. 6: Outsource — But Not All
  • Insight No. 7: Learn the Business Language
  • Insight No. 8: Further Upskill Your Data Scientists
  • Insight No. 9: Choose the Right Problems
  • Insight No. 10: Balance Commercial Versus Open-Source Tools
  • Insight No. 11: Double-Down on Business Intimacy
  • Insight No. 12: Be Aware of Preloaded Attitudes
  • Insight No. 13: Task Your Team to Track Data-Relevant Events
  • Insight No. 14: Find a Fitting Brand Name
  • Insight No. 15: Don’t Start Anything Risky on a Friday

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