Enterprise data management and warehousing is most successful when treated as an iterative process managed enterprise-wide as a foundation to build the business.
Glean insights from Stephen Brobst, CTO of Teradata, and James Markarian, SVP and CTO of Informatica, as they discuss leveraging operational and analytical data across business units and geographical boundaries to drive business alignment and increase performance.
 | Cutting-edge technological advances that make an enterprise-wide approach feasible |
 | Best practices in enabling a paradigm shift to an enterprise-wide data environment |
 | How to shatter the siloed approach that results in lost revenue, poor cost fundamentals, and increased compliance/risk exposure |
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Fundamental principles of Enterprise Data Management and Warehousing, including:
| | - Data service in the context of service oriented architecture (SOA) |
| | - Metadata-driven enterprise data integration as a business context service |
| | - The application-neutral approach to assess enterprise risk |
| | - The performance of real-time logical data aggregation across disparate locations |
| | - The value of integrated competency center and shared service models |
| | - Data governance and stewardship |
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 | Case studies on active data warehouse deployment for mission-critical applications |