How Data Scientist Skills and Qualifications Differ From Those of BI Analysts and Statisticians

Archived Published: 21 October 2015 ID: G00272701

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Data scientists require a distinct and multidisciplinary set of skills for superior data-driven decisions, especially from big data. IT, business and HR leaders cannot rely on BI analysts or statisticians to accomplish the same objectives in most circumstances.

Table of Contents

  • Introduction
  • Analysis
    • Adopt an Enterprisewide Position Description That Distinguishes Where Date Scientists Can Add Value
    • Arm Data Scientists With the Required Technical Skills
    • Enhance and Comingle Skills to Maximize the Value From Data
    • Ensure Your Data Science Team Maintains Its Domain Expertise
  • Gartner Recommended Reading
© 2015 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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