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Many supply chain and manufacturing companies are looking for ways to accelerate the provision of data-driven intelligence to their users, to meet business goals. More often than not, however, they struggle to find the optimal mix of technologies for effective data management, which is critical in a wide variety of supply chain use cases.

Read this blog based on the Gartner® report to learn how your organization can harness the power of logical data warehousing to meet or exceed your business goals.

As a supply chain leader, you will learn how to address the specific needs of different users such as business analysts, data engineers, and data scientists, who engage in a range of analytics that involve operational intelligence, business reporting and intelligence, advanced analytics, and data science. A well-designed logical data warehouse (LDW) combines the power of data lakes, data warehouses, and data marts, to offer customized benefits and outcomes for all types of users and use cases, operational or analytical.

The report suggests: “Structure your approach to supply chain analytics and intelligence requirements by aligning them toward Gartner’s Data and Analytics Infrastructure Model (DAIM) and the LDW.” It further suggests, “Start preparing now for the next step of your supply chain data and analytics journey by investigating forward-looking strategies like the data fabric.”

This report is a must read for any supply chain or manufacturing-focused organization that is looking to modernize its data management infrastructure and practices.

Gartner Adapting the Logical Data Warehouse for Supply Chain 25 January 2023.

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.

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