Gartner Research

Embrace Your Bias to Enable Analytics Clarity

Published: 23 June 2017

ID: G00319217

Analyst(s): Dale Kutnick , Alan Dayley , Mark Beyer

Summary

Bias is inherent in the development of analytic models, data selection and the associated algorithms. The bias continuum provides data and analytics leaders with a discussion template for transparently exposing statistical bias so as to ensure real business impacts.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Use Independent Auditors to Detect and Analyze Bias in Your Digital Personality
  • Compare the Bias in Data and Analytic Models With the Business Understanding of That Bias
  • Perform Periodic Reviews of Analytics With an Objective Board of Standards
  • Review Boards Should Challenge Exclusive Ownership of Analytics to Avoid a Self-Reinforcing Cycle

Acknowledgements for Contributions

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