Maturing in supply chain analytics is predicated on foundational prerequisites like data availability, team governance and business' ability to self-serve. Supply chain leaders responsible for analytics can learn in this note about HPE's successful efforts to create this solid foundation.
Impacts and Recommendations
- Building a solid data infrastructure is supply chain leaders' requisite foundation for advanced analytics
- Allowing the analytics team to innovate on top of an IT-built and maintained data infrastructure balances agility with strong governance
- Real-time operational data ensures that business users' decisions are based on current supply chain conditions
- Focusing on self-service analytics enables broader analytics adoption and innovation
Gartner Recommended Reading
©2020 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.