| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 345.8KB PDF | Date added | 30 Aug 2005 |
| Topics | Business Intelligence - Data Warehousing, Knowledge and Data Management, Cost Control - Risk Mgmt. | ||
| Downloads | 24 | ||
The semantic convergence approach to master reference data management can provide a fundamental, holistic view of the enterprise information asset that will ease the way for increasing the return on information investment. Additionally, this approach can be implemented using established tools and techniques used in a different way. Understanding the structure and content of enterprise information objects, creating a standardized view, and harmonizing the many data object instances into that standardized view will help an organization make better decisions, leading to a more competitive, responsive organization. Companies can also mitigate the risks of regulatory compliance, improve the quality of data, and enable the use of knowledge to improve the business instead of just using data to run it.
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