Orpheus, a McKinsey company - Digital Backbone

Digital Backbone &

more about
Digital Backbone & Visualization
Orpheus, a McKinsey company - Impact Tracker

Data Connectivity &

more about
Data Connectivity & Transformation
Orpheus, a McKinsey company - Data Categorizer

Data Cleansing &

more about
Data Cleansing & Categorization
Orpheus, a McKinsey company - Spend Control

Dashboards &

more about
Dashboards & Insights
Orpheus, a McKinsey company - Category Analytics

Analysis &

more about
Analysis &
Orpheus, a McKinsey company - Impact Tracker

Integrations &

more about
Integrations & Ecosystem
Orpheus, a McKinsey company - Advisory Center

Alerting &

more about
Alerting & Recommendations
Orpheus, a McKinsey company - Impact Tracker

Impact &
Savings Tracking

more about
Impact & Savings Tracking

What is the purpose of Master Data Management (MDM)?

Master data management signifies the management and improvement of a corporation’s master data. The most important master data for strategic and (operative) purchasing are:

  • Suppliers
  • Materials/ components
  • Catalogs (e-Procurement) featuring the goods and services that need to be purchased
  • Product groups and category structures
  • Corporate and procurement organization
  • Purchasing info records (SAP-specific)
  • Supplier contracts
  • and many other types of data

The challenges for an MDM – Master data management in purchasing are especially great when several ERP systems with different data structures and unconsolidated or non-harmonized supplier and material bases exist.

Master data management systems that specifically cover purchasing requirements are only available from a few highly specialized suppliers such as Orpheus with their DataCategorizer software tool. This tool focuses on the types of master data, suppliers, purchasing info records and materials/components. Its most important features are:

  • Detection of duplicates in supplier and material master databases
  • Detection of similar suppliers who belong to the same group of companies and the semi-automatic generation of a vendor hierarchy (supplier tree)
  • Consolidation and grouping of the supplier master databases
  • Harmonization and normalization of supplier master databases
  • Clustering of similar materials (e.g. in order to standardize them at a later time, detect price deviations or as preparation for an LPP analysis and cost regressions)
  • Harmonization of material master parameters for same/ similar components (MRPs, batch sizes, planning horizons, etc.)

MDM tools such as the DataCategorizer also incorporate intelligent analyses of transaction data, such as invoices, order and goods movements, in order to offer the following features:

  • Detection of errors and outliers regarding prices in the material master data and purchasing info records
  • Detection of unused suppliers and materials
  • Detection of data errors and missing information in the master databases
  • Correlation between the purchase price of the materials and their cost drivers
  • Classification of invoice and order vouchers into a standard categorization such as eClass or UNSPSC
AI-based classification and consolidation for improved data quality & spend transparency

Data Cleansing & Categorization

Cleansing, consolidation and classification of procurement data - If you want to operate procurement controlling professionally, you have to operate content management. Only with cleansed, uniformly classified data can you obtain meaningful analyses. View ways to cleanse & classify data in procurement.

Request a Demo for Data Cleansing & Categorization more about Data Cleansing & Categorization

Search Glossary

Orpheus Glossary

Here you will find important terms related to spend management explained in a clear way. Small knowledge base for quick information or in full for your further education. This controlling glossary is constantly being expanded and improved.

Orpheus Blog

Read blog articles about spend management, initiative management and data management in procurement, or other articles from our experts.


For more information, see the following article:

Connect with our experts