Data Warehousing Quality - What It Takes
- Topics:
- Warehousing and Storage
- Tags:
- Business Intelligence,
- Data Management,
- Data Warehouse,
- Databases,
- Enterprise Software,
- Hardware,
- Software,
- Storage
- Source:
- Embarcadero Technologies
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Overview: The past few years have seen the rise of Business Intelligence solutions, such as data warehouses, data marts, OLAP tools, and data mining. Database cycle improvements dominate the thinking of IT professionals and their business partners as they strive to increase competitive advantage. The concept of a data warehouse is sound and the potential benefits are compelling. But data warehouses, as with any large endeavor, can be a victim of both large, deep potholes and crazy turns that affect its quality and ultimately, any expected return on investment. This paper explains critical success factors by which the data warehouse team can measure the quality and success of their data warehouse effort.
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Format: PDF | Size: 66KB | Date: Jun 2006 | Pages: 6
