Components of Data Quality Solutions
Data Quality solutions can be divided into the following areas: Cleansing: Amend, remove or enrich data that is incorrect or incomplete. This includes correction, enrichment and standardization. Matching: Identifying, linking or merging related entries without or across sets of data. Profiling: Analysis of the data source to provide insight into the quality of the data and help to identify data quality issues. Monitoring: Tracking and monitoring the state of Quality activites and Quality of Data. Source: Data Quality Basics and Introducing Data Quality Services (DQS) (@13:53) Keywords: Data Quality, Data Quality Services, DQS, SQL Server, Microsoft