Data Consolidation helps you improve the quality of master data as well as process it for analysis (e.g. spend analysis). This solution merges master data (e.g. material, material groups) from multiple sources, cleanses the imported data, removes duplicates and harmonizes master data records.

Data Consolidation helps you:

• Clean and group master data
• Identify and remove duplicate data records
• Consolidate and normalize data
• Assign data to a hierarchy (hierarchical tree)
• Recognize new master data records and add them to the existing structures
• Categorize data (to eCl@ss/UNSPSC)
• Enrich master data records with external information
• Export the cleaned, structured master data in the format of your choice