Managing Data as a Product with Distributed Reference & Master Data

To create a well-working data strategy that can be implemented on a long-term basis, reliable and qualitative data products need to be produced and implemented.

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 whitepaper we argue that large organizations need to embrace distrib- uted approaches to reference and master data management, as a means of collaboratively aligning their vocabulary without a forced top-down standardization procedure.


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