Data Quality Assessment
Tuesday
8:30am - 5:00pm 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: |
| 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. |