Data Quality Management​

Unknown or inadequate data quality (DQ)

Redundant data storage due to duplicates

Incorrect reporting and inadequate process performance due to poor master data

Definition of the desired data quality

Business description of the DQ rules at individual field level

Evaluation and analysis of current data quality

Processing of identified DQ problems

Possibility for rule mining by artificial intelligence (AI)

Central rule management for the data objects customers, suppliers and material masters

Objective, measurable evaluation of data quality

Data corrections and long-term DQ improvement