Triple Strategy For Data Warehouse Projects
When your “single version of truth” delivers contradictions, the problem isn’t the warehouse—it’s the foundation. Learn how aligning data, metadata, and master data can transform chaos into clarity and build lasting trust in enterprise intelligence.
Enterprise Data Warehouse (EDW) should deliver unified, consistent information but usually doesn’t, due to conflicts in master data and a lack of common understanding of data sense (metadata). So, the typical complaints from IT and business users are:
“We have implemented the enterprise data warehouse and don’t need metadata management. Why does EDW deliver information of improper quality?”
“We have an enterprise Master Data Management (MDM) system in production. Why can’t we agree on data sense and terminology?”
“We have developed our company’s business glossary. Why do our business users still receive contradictive reports?”.
Strategy
These problems can be solved by the parallel execution of three strategic projects:
Metadata Integration
Enterprise metadata integration establishes a common understanding of data and master data sense.
Master Data Integration
Master data integration eliminates data and metadata coding conflicts in various information systems.
Data Integration
Data integration provides end users with data as a single version of the truth based on consistent metadata and master data.
This triple strategy provides effective interaction of data, metadata, and master data management systems, eliminates modules with similar functionality, lowers the total cost of ownership, and increases user confidence in EDW data.
The triple strategy allows the implementation…
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