Management of Reference and Master data is aimed to reduce cost and risk of having disparate data mainly caused by:
Management of Reference and Master Data aims to mitigate the challenges of disparate data, which typically arise from:
Organic Growth:
Unplanned Expansion: Over time, organizations often develop new systems and applications organically, leading to isolated and redundant data stores.
Inconsistent Data: These disparate systems often result in inconsistent and unreliable data.
Isolated Systems:
Siloed Applications: Independent systems that do not communicate effectively with each other can lead to multiple versions of the same data.
Lack of Integration: Without proper integration, data consistency and quality suffer.
Mergers and Acquisitions:
Combining Systems: Mergers and acquisitions introduce the challenge of integrating different data systems and standards.
Data Redundancy: Newly acquired systems often come with their own data sets, leading to redundancy and conflicts.
Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'
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