Managing data as a product with distributed reference and master data

An examination of a distributed approach to reference and master data management, and how organizations can use it to align their vocabulary without top-down standardization

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With the digitalization process, data has become the center of both traditional and research-intensive industries. Information needs from inside and outside organizations are increasing in depth and breadth. This means that only those organizations that are able to produce high-quality data products will succeed. These products should satisfy the information needs timely and at a reasonable cost.

In this white paper, H. Oberkampf, C. Senger and M. Chisholm, argue that large organizations need to embrace distributed approaches to reference and manage master data, as a means of collaboratively aligning their vocabulary without a forced top-down standardization procedure.

Download the white paper to understand:

  • The different types of data within an organization, and the challenges they pose.
  • How distributed reference and master data (RMD) can prevent redundancies, simplify management, and speed up time to market.
  • How to implement a distributed RMD management architecture.
  • How this approach lays the foundation for a complete data ecosystem.

Unleash the power of distributed data management by downloading the white paper.

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