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Data Warehouse Quality Process Administration
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Data Warehouse Quality Process Implementation
The single biggest cause of data warehouse failure and sub-optimization in managed data quality, both in the data architecture and in data content. Because the processes and information customers supported by the data warehouse are different from operational databases the information quality requirements are different inherently.
INFORMATION IMPACT helps you:
- Analyze Information Quality problems within source data
- Map source to data warehouse target architecture with business rules and transformation rules
- Define information cleansing and correction processes, both automated and human, where automation cannot control
- Develop audits and controls to assure the extract, transformation and corrections, matching and consolidation and bad procedures perform properly
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PRINTER FRIENDLY VERSION
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