Data Quality Assurance Using Teradata Warehouse Miner
Data quality is often defined as the suitability of data for its intended purpose. Strategic business initiatives such as Customer Relationship Management (CRM), supply chain management, and business intelligence can be thwarted by poor data quality. In fact, the Data Warehousing Institute estimates that data quality problems cost U.S. businesses more than $600 billion per year. The purpose of this paper is to describe how TeradataWarehouse Miner can be used for several common data quality assurance processes, with particular emphasis on data quality assessment.