Building a community of practitioners skilled in the data management profession.
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What is Data Management ?
Data Management is the development of architectures, policies, practices and procedures to manage the data life cycle. (DAMA International)
” In most organizations, systems and data evolve more organically than data management professionals would like. Particularly, large organizations, various projects and initiatives, mergers and acquisitions, and other business activities result in multiple systems executing essentially the same functions, isolated from each other. These conditions inevitably lead to inconsistencies in data structure and data values between systems. This variability increases costs and risks. Both can be reduced through the management of Master Data and Reference Data. ” DAMA-DMBoK
- Reference Data Management (RDM) enables organizations to centralize reference data codes.
- Master Data Management (MDM) is a discipline in which the business and the IT organization work together to ensure the uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprise’s official, shared master data.
- Data Integration
- Data Analytics
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