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Data is increasingly seen as a corporate asset that should be managed, protected, and leveraged to achieve business success. This has given rise to the field of data management which can be defined as the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise (from “DAMA DMBOK”). Over the last few years, we have similarities between data management and enterprise architecture:
Both share a similar group of stakeholders
Both tend to use a model-based approach
Both tend to involve all aspects of the organization
Both use similar tools and models
Building a strong data management capability is not an easy task. In our experience, the use of Enterprise Architecture tools, methods, and approaches can help in doing so. Leveraging the power of open standards, we tend to combine the DAMA DMBOK (Data Management Body Of Knowledge) with TOGAF and ArchiMate for this:
In the next few weeks we will gladly share our thoughts and experiences with you: