InfoShare Data Quality standardizes, corrects and verifies data to ensure the best quality data is used in match process to produce reliable and trustworthy results. A detailed audit trail and statistics are generated for each part of the cleansing process to indicate any data that was missing, incorrect, inconsistent, invalid, or changed.
The SQL Power Data Quality helps you cleanse your data, validate and correct addresses, identify and remove duplicates, and build cross-references between source and target tables. This provides business users with complete and accurate data, and a single 360-degree view of all business entities, such as customer, product, representative, employee, supplier or business unit.