This is the first of 3 videos that demonstrate Microsoft technologies working with Melissa Data to address what a recent survey calls the “greatest barrier to adopting analytics or BI products enterprise-wide” - data quality. They all follow the same customer data set, showing how to build a process to correct and standardizes it, integrate it with data from ERPs and MDM systems, and augment it with master data. Together, they show how to create a business process to enable data governance.
This video provides some background on the importance of data quality and the various aspects of data quality. It then introduces Microsoft’s 3 Enterprise Information Management (EIM) technologies and how they work together. There is a demo of Data Quality Services (DQS) working with Melissa Data (Address Check RDS) to correct and standardize address and other data. The user will get an appreciation of how to create a business process where a data steward can curate data by adding to a data cleansing "knowledge base" for his customer data.