Continuous Data Quality Improvement

Webinar Abstract
The data warehouse team is expected to deliver quality data but is often faced with sources that have quality deficiencies. This Webinar applies total quality management principles for the creation of the data warehouse and describe how the continuous improvement process can be used to gradually improve data quality issues at the source. Special emphasis is placed on data profiling, data transformation and cleansing, audits and controls, and metadata, all of which work together to provide quality data to the data warehouse users.

You will learn:

  • Ways to define data quality
  • The continuous improvement process steps
  • How to provide quality data in the data warehouse

Jonathan Geiger

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