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Best Practices in Data Management
sponsored by SAS Institute Inc.
Posted:  06 Mar 2008
Published:  01 Jan 2007
Format:  PDF
Length:  20  Page(s)
Type:  White Paper

ABSTRACT:

Financial institutions are forced to collect more data and dig deeper into their databases in order to refine their analyses due to constant performance pressures and changing regulatory demands. A holistic, unified approach to data management, one that ensures a smooth flow of information throughout the organization, enables decision makers to see a complete picture of enterprise risk.

This white paper discusses best practices for data management and various components required for successful enterprise risk management (ERM) and their benefits. Learn how your ERM solution can:

  • Provide analytic and data quality capabilities.
  • Produce reports for a variety of internal and external constituents.
  • Group data from disparate sources to achieve a single view.
  • Establish a flexible, unified data model.
 
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BROWSE RELATED RESOURCES:
Best Practices | Business Intelligence Software | Data Management | Data Management Software | Data Modeling | Data Security | Financial Services Industry | Real-time Analytics | Risk Assessment | Risk Management
View All Resources sponsored by SAS Institute Inc.

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