Published: 11 April 2019
Analyst(s): Consult the Board Research Team
This summary contains input from fifteen members regarding their strategies and programs for democratizing data science within their organizations. We begin this summary by examining members' efforts in promoting the democratization of data science and the challenges they have encountered in these efforts. Next, we discuss several programs, strategies, and technologies that members are using to introduce data science to the larger employee population and their approaches for rolling out these programs. We then evaluate challenges that members face during the implementation of data science programs within their organizations. We close this summary by reviewing members' key learnings, including programs and strategies that are effective or ineffective in democratizing data science.
©2021 Gartner, Inc. and/or its affiliates.
All rights reserved.
Gartner is a registered trademark of Gartner, Inc. and its affiliates.
This publication may not be reproduced or distributed in any form without Gartner’s prior written permission.
It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact.
While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information.
Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such.
Your access and use of this publication are governed by Gartner’s Usage Policy.
Gartner prides itself on its reputation for independence and objectivity.
Its research is produced independently by its research organization without input or influence from any third party.
For further information, see
Guiding Principles on Independence and Objectivity.