DataCategorizer is comprised of the modules Data Cleansing, Data Consolidation/Clustering, and Data Classification
Orpheus changes all that to ensures that companies achieve their long-term, anticipated savings. With its products SpendControl and DataCategorizer and a modern spend management infrastructure, Orpheus measures the successful spends and savings.
One key to achieving savings potential is creating transparency across the entire spend volume – and, therefore, the transparency and comparability of spend data across all divisions and companies. This goes far beyond order analysis to provide a detailed view of all invoices and payments to major suppliers.
Which employees are buying which goods and services at what conditions worldwide? This question is decisive, but the data quality in most information systems is too poor to provide any insights. Sophisticated data cleansing processes (e.g. price and volume outliers, false exchange rate conversions, or units of quantity) are necessary to find the answers.
CONSOLIDATING /CLUSTERING MASTER DATA
If the master data is gathered from different (heterogenous) data sources, it is to be consolidated, clustered and brought into an hierarchical structure. Supplier duplicates can then be detected and similar suppliers can be grouped. The clustering of similar material master data is a requirement for standardizations etc.
CLASSIFYING PROCUREMENT DOCUMENTS
Master data clustering is one criterion for perfect transparency. Another is classifying as many invoices, orders, etc. as possible. Orpheus DataCategorizer uses semi-automated classification methods to assign these and other types of transactional data to harmonized spend categories. This ensures comparability and transparency in strategic procurement.