When data analyses show that your company data does not meet your demands, or when concrete data management projects are planned, it is high time to deal with the data quality. Data Cleansing is the product from Uniserv, with which you can efficiently implement cleansing in batch processing. The cleansing tool extracts the necessary customer data from the source systems with connectors, cleanses postal data, enriches existing records with additional information, and identifies duplicates with their complex consolidation.
With data cleansing (or data scrubbing)you cleanse your data stocks according to your own rules or rely upon wide ranging Best Practice settings. Cleanse the conspicuous items you have interactively identified with the Uniserv Data Analyzer or discovered by automatic monitoring from Data Governance. With the Data Quality Service Hub from Uniserv, you present the data consistency necessary for your processes and applications.
Data cleansing is a major step in the data quality process, whereby it is irrelevant as to whether it is a question of cleansing old systems of master data in connection with data migration projects, or for risk management, or for compliance. Cleansed customer data is also of great importance for realisation of customer orientation with the priority of data use in operative, specialist fields, e.g., for ensuring customer loyalty, or in dialogue and direct marketing.
Data cleansing creates optimal data quality in respect of being up-to-date, reliability and detailing levels. Data cleansing thereby forms the basis for higher information content, good analysis results and effective business processes.