Implementing Data Quality Through Meta Data
- Topics:
- Warehousing and Storage
- Tags:
- Business Intelligence,
- Storage,
- Software,
- Hardware,
- Enterprise Software,
- Embarcadero Technologies,
- Databases,
- Data Warehouse,
- Data Quality,
- Data Management,
- ...
- Source:
- Embarcadero Technologies
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Overview: How are you addressing the single most difficult problem facing data warehouses? Data Quality. When the quality of data is compromised incorrect interpretation and use of information from your data warehouse can destroy the confidence level of its customers, your users. Once the user's confidence in your warehouse is eroded it is a question of time before your system will no longer exist. This data quality quandary often results from system architectures that fail to identify "Bad" data before it is loaded into the data warehouse. This missed opportunity leads to a dramatic increase in the time and costs that companies expend to reconcile and audit information in the warehouse.
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Format: PDF | Size: 63KB | Date: Jun 2006 | Pages: 7
