The master data services solution and services architecture

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Let’s say that you have successfully articulated the value proposition of incorporating a master data capability into a customer’s business application. Now what? If you are not prepared to immediately guide that customer in an integration process, the probability is that a home-brew solution will be adopted as a “temporary” measure until the MDM capability is ready. In reality, that means that the temporary measure will forever replicate the MDM services, likely in an inadequate manner.

The MDM strategic plan must provide an easy means for business processes to consume master data. One approach goes beyond the technical perspective of the consolidation functionality that the “system” provides. Instead, focus on data consumption and usability. This means having a “solution architecture” that is driven by aligning the candidate business process with its master data usage scenarios. More specifically, that means a process for:

  • Documenting the business process and associated workflows.
  • Identifying the points in the workflow where there is a dependence on identity information.
  • Specifying the usage scenarios for master data (as described in my previous post).
  • Assessing the various performance criteria for each usage scenario (such as data volume, simultaneous load, type of data accesses and queries, data synchrony and currency, and data access response time).
  • Specifying the master data services to be integrated into the business process.

Importantly, that also implies the need for a process for implementing the specific master data services in ways that can meet the specified performance criteria. This is the topic of my next post.

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About Author

David Loshin

President, Knowledge Integrity, Inc.

David Loshin, president of Knowledge Integrity, Inc., is a recognized thought leader and expert consultant in the areas of data quality, master data management and business intelligence. David is a prolific author regarding data management best practices, via the expert channel at b-eye-network.com and numerous books, white papers, and web seminars on a variety of data management best practices. His book, Business Intelligence: The Savvy Manager’s Guide (June 2003) has been hailed as a resource allowing readers to “gain an understanding of business intelligence, business management disciplines, data warehousing and how all of the pieces work together.” His book, Master Data Management, has been endorsed by data management industry leaders, and his valuable MDM insights can be reviewed at mdmbook.com . David is also the author of The Practitioner’s Guide to Data Quality Improvement. He can be reached at loshin@knowledge-integrity.com.

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