Improving your Data Warehouse's IQ

Webinar Abstract
The best data architecture for DW 2.0 (second-generation data warehousing) uses bottom-up data modeling driven by data profiling tools in conjunction with a rigorous top-down data modeling initiative. A solid data architecture is one of the critical success factors for achieving data quality improvement. What data models are used in this architecture? Why are they important? How are they derived, and how do they relate with each other?

This Webinar will describe the entire data quality process within the context of the DW 2.0 architecture, highlighting some of the key issues that must be addressed in order to achieve sustained quality improvement of the corporation's data resource.

You will learn:

  • The importance of data “archaeology”—using bottom-up data modeling to challenge top-down data modeling
  • The data models required for a data warehouse program and how they relate
  • The DW 2.0 data quality process that lets you continuously improve your enterprise’s information quality

Devavrat Shah

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