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.
