High data quality through data cleansing
Data cleansing is a central process for ensuring data quality, especially for master data such as customer, supplier or product information. The aim is to identify and correct incorrect, duplicate, incomplete data and inconsistencies. This creates a reliable basis for operational and strategic decisions with a data-driven foundation.