How to Build a Data Strategy in Manufacturing Organizations
Building and sustaining a data strategy is a lot like running a marathon. You have to do the base training to fine-tune your data approach. And you have to refine your techniques and skills.This report covers the four building blocks CIOs should use to produce a data-smart digital organization.
Read the eBook
Learn data strategy elements
Discover the basic elements needed to launch a holistic data strategy foundation in manufacturing.
Make fast, strategic decisions
Data exists in different sources, repositories, and silos. Get the transparency you need to make faster decisions.
Devise a data framework
Learn about how tobuild a framework and process to develop, curate, update, and offer structured and unstructured data to your business.
Are you a manufacturing CIO in charge of your data strategy?
If you’re anything like other manufacturing CIO’s, you probably know the realities of:
Complex mix of data sources, repositories, and silos
No single owner of data
Confusion around the value, risk, and benefit of data efforts
No framework or complex processes for developing, curating, and updating data
No single source of truth
Little integration to source data, IoT, and other data connections
Challenges scaling data models
Develop a data strategy like your training for a marathon
This report sets the foundation for a data strategy in four steps:
Establish a strategic view with clear business outcomes
Map datasets and assets that are available to the organization’s functions
Integrate real-time data and IoT
Create relationship data held in different parts of the value chain
Grab a copy of the report for more information.
Gartner, How to Build a Data Strategy in Manufacturing Organizations, Bettina Tratz-Ryan, Alexander Hoeppe, 30 January 2024
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.