Continuous Data Quality Improvement

01/28/08

This Webinar willapply total quality management principles for the creation of the datawarehouse and describe how the continuous improvement process can beused to gradually improve data quality issues at the source. Specialemphasis will be placed on data profiling, data transformation andcleansing, audits and controls, and metadata.

Presenter: Jonathan Geiger, Executive Vice President, Intelligent Solutions, Inc. Event Date: 3/26/08 Event Time: 9:00 am PT / 12:00 PM ET

Webinar Abstract
The data warehouse team is expected to deliver quality data but is oftenfaced with sources that have quality deficiencies. This Webinar applies total quality management principles for the creation of the datawarehouse and describe how the continuous improvement process can beused to gradually improve data quality issues at the source. Specialemphasis is placed on data profiling, data transformation andcleansing, audits and controls, and metadata, all of which work togetherto 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

Register for this TDWI Webinar

Sponsored by:
Oracle

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