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Friday, December 10, 2004
It's critical to companies looking to make the leap to service-oriented architectures (SOAs) says, Zdnet. Master data management is about tackling the decades-old problem of redundant and conflicting data scattered across business systems and putting it in one centralized place, to create a "system of record." (Coincidentally, this was the central idea to Oracle's "data hubs" that made news this week). But it's a monumental undertaking, requiring a pragmatic approach with strong coordination and project management skills, says Meta. Companies should avoid a big-bang approach and instead focus on bite-size pieces:
- First, identify and define attributes and mappings for master information assets, independent of organizational boundaries.
- Then, survey and establish business rules for current information asset's content.
- And third, define and implement workflow processes (i.e., create, update, delete) for the manual interactions with the software solution you choose.
With organisations juggling around with multiple taxonomises, no taxonomies in some places, multiple systems ( I have seen oragnsations using 2/3 different ERP's in the same location - using different modules from each of the system), master data management is a very important pain point - this is an important step in preparing organisations for having good quality data - absolutely essential for effective usage of real time information and further down for real time data analysis and pattern studies. |
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