Gartner Research

Successfully Adopt Advanced Supply Chain Analytics With Limited Data Scientist Resources

Published: 03 August 2017

ID: G00322007

Analyst(s): Noha Tohamy

Summary

Acquiring and retaining top data scientists has proved challenging for many supply chain organizations. But supply chain leaders responsible for analytics can successfully support their advanced analytics initiatives by casting a wider net for requisite technical resources.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Leverage Underutilized Embedded Analytics in Enterprise Applications That Require Minimal Data Scientist Resources
  • Train Internal Resources Who Lack Formal Data Scientist Training, but Exhibit a Strong Affinity for Advanced Analytics
  • Build a Symbiotic Relationship With Universities That Offer Strong Data Science Programs
  • Utilize Crowdsourcing Platforms to Crack Difficult Advanced Analytics Problems
  • Rely on Analytics Service Providers for Access to Large Pools of Data Scientists
  • Always Align Your Data Scientist Talent Strategy With Your Organization's Stage of Analytics Maturity

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