IDQ Conference 2006

Data Quality Assessment

Arkady MaydanchikArkady Maydanchik
Co-founder
Data Quality Group LLC

 

Tuesday 8:30am - 5:00pm
Full Day Tutorial
Level: Intermediate

More and more companies introduce data quality programs and form data stewardship groups every year. The starting point for any such program must be data quality assessment. Yet, in absence of a comprehensive methodology measuring data quality remains an elusive concept. It proves to be easier to produce hundreds or thousands of data error reports than to make any sense of them.

This course gives comprehensive treatment to the process and practical challenges of data quality assessment. It starts with systematic treatment of various data quality rules and proceeds to the results analysis and building aggregated data quality scorecard. Special attention is paid to the architecture and functionality of Data Quality Metadata Warehouse. The course will specifically teach:
- How measuring data quality can help the corporate bottom line
- How to implement comprehensive data quality assessment
- How to design and build data quality metadata warehouse
- How to build meaningful data quality scorecard

Speaker Bio
Arkady Maydanchik is a recognized pioneer, author, and educator in the field of data quality and information integration. Arkady's comprehensive methodology for data conversion, consolidation, and cleansing, along with his breakthrough ARKISTRA technology, were used to provide data quality services to numerous companies and governmental institutions.
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