What Data Discovery Means for You


Archived Published: 17 December 2014 ID: G00253035

Analyst(s): |

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Summary

Data discovery appeals strongly to business users, but some business intelligence leaders are reluctant to encourage adoption. Data discovery is filling the gap between traditional BI and advanced analytics, and this research explains why and how BI leaders should support its use.

Table of Contents

  • Analysis
  • Impacts and Recommendations
    • Data discovery is filling the gap between traditional BI and advanced analytics, so BI leaders should study its information exploration capabilities
    • Data discovery enables business users to perform their own analysis, which makes many BI leaders fear it will jeopardize their efforts to provide a single version of the truth
    • Data discovery enables business users to build their own insights, so BI leaders must work with business units to identify and train data discovery users
    • The use of data discovery could result in errors from unreliable data or misleading insights, so BI leaders must identify which users can access which data, certify sources and validate user-produced content
  • Gartner Recommended Reading
© 2014 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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