Create the basic prerequisite for optimised workflows, processes and applications
Data Quality Analytics
Inconsistent, incomplete or incorrect data are among the most common problems in business practice. Errors in data records perpetuate themselves and multiply – all the way to reporting to the management.
DATANOMIQ Data Quality Analytics takes over the cleansing, the enrichment of further information or the detection of duplicates or their complex consolidation.
Data Quality Analytics creates the basic prerequisite for optimised workflows, processes and applications in your organisation: consistent, i.e. reliable data in all directions.
DATA FUSION
Consolidation of separately held but related data from all relevant data sources
MASTER DATA CLEANUP
Recognition of multiple material / customer / supplier master data
DATA ERROR DETECTION
Identification of vertical and horizontal inconsistencies for adjusted reporting
OVERPAYMENTS
Identification of double payments & flase payments
BILLING ERRORS
Identification of conditions that have not been settled or have been settled incorrectly
CAUSE ANALYSIS
Analysis of the causes of data quality problems (e.g. incorrectly configured ERP systems)
CLASSIFICATION AND PRODUCT GROUP SYSTEMS
Transfer of master data into an industry-independent classification