Gartner Research

What Supply Chain Executives Need to Know About Data Management Strategies

Summary

Data management is increasingly a success factor for organizational transformation, digitization and innovation. Supply chain leaders must improve how they communicate value, importance and status of program activities by aligning data management solutions with business objectives.

Published: 16 June 2021

ID: G00736610

Analyst(s): Christian Titze Philip Russom Noha Tohamy

Table Of Contents

Analysis

Research Highlights

Already a Gartner client?

Become a Client

This research is reserved for paying clients. Speak with a Gartner specialist to learn how you can access this research as a client, plus insights, advice and tools to help you achieve your goals.

Contact Information

All fields are required.

By clicking the "Submit" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

Gartner Supply Chain Symposium/Xpo™

Join the world's most important gathering of CSCOs, supply chain executives virtually along with Gartner experts to transform and innovate your supply chain strategy.

©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.