Data integration has traditionally been associated with the creation of a data warehouse to support strategic decisions. In today’s economy, as companies are striving for right-time information to support tactical decisions and operational performance improvement, having a sound data integration and quality strategy is becoming increasingly important. This view requires an understanding of the business meaning of the data, an understanding of the quality of the data source data, a commitment to addressing data quality issues as close as possible to the point of entry, and quickly gaining concurrence on the data transformation and integration rules. This session enumerates the major issues that need to be addressed from both a business and technical perspective and includes case studies that demonstrate the benefits.
You will learn:
Individual, Student, & Team memberships available.