Embrace Your Bias to Enable Analytics Clarity

Archived Published: 23 June 2017 ID: G00319217

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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

  • 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
  • Gartner Recommended Reading
© 2017 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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