TDWI World Conference

Prerequisite: None

Course Outline

Achieving data quality within an operational business intelligence environment can be extremely challenging. For some forms of operational BI, no data warehouse or ODS is created. In other cases, the load cycle cannot accommodate extensive data validation and cleansing processing. This session describes a three-pronged approach for ensuring data quality for real-time and near-real-time business intelligence. The approach entails a data quality strategy focused on critical operational data, data profiling and establishment of quality improvement actions, and business partnerships to minimize data cleansing during ETL (or EII) processes.

You Will Learn

• How the data quality approach for operational BI differs from that for traditional BI
• How to develop a data quality strategy for operational BI
• How to determine the actions needed to address data quality deficiencies

Geared To

• BI practitioners; business analysts