The Orpheus DataCategorizer supports clients in swiftly achieving group-wide transparency within their procurement data, required for reliable analyses. An AI-backed framework implements various functions for Semantic Data Management (SDM) and thus enables automated spend classification, harmonization, structuring, enrichment and improvement of all (procurement-)relevant, transactional- and master data.
The most important functions of the DataCategorizer:
What are the main benefits of DataCategorizer:
Uncover savings opportunities and strengthen your negotiation position
By intelligently consolidating and structuring all suppliers, clients get a comprehensive, bundled overview of the entire group spend as well as an exact and procurement-focused definition of all expenditures. Therefore, your position in negotiations with suppliers will be strengthened from a strategic perspective (competitive edge).
Transform your ERP data structure to a procurement-specific data structure
DataCategorizer supports the transformation from a manufacturing, product or finance view based on decentral maintained material groups or accounts towards a consolidated procurement-oriented perspective (e.g. eCl@ss, UNSPSC or customer specific). The possibility to classify on an absolute fine-granular level generates an unprecedented data transparency which allows you to compare your entire heterogeneous global spend, uncover savings opportunities and detect substitute materials and suppliers.
Get new analytical insights with data enrichment
Transactional data is intelligently enriched and clustered by a supplier family tree, material cluster information (e.g. equal or similar materials) and an individual procurement-based taxonomy.
Prepare data for KPI, price & performance benchmarking
Only cleansed, validated and reliable data reveal their added value and paves the way for data-driven decision making, advanced analytics, BOTs, benchmarks and process automation.
Fast ROI and time-to-market: Accelerate your procurement digitalization project
DataCategorizer offers an intuitive, easy to learn user interface which minimizes training efforts. Together with the possibility of working collaboratively from different locations, the foundation for your digitalization projects is quickly established.
Once the training phase is over, you can save important time by semi-automated data cleansing & classification steps. DataCategorizer’s AI based algorithms support and partly even take over classification tasks.
Reduce cost of data quality
The possible outcome of analyses and reports directly correlate with the quality of data. Moreover, a poor data quality causes unnecessary expenses (cost of data quality) as well as financial impact and manual data processing and thus slows down employees, decisions & processes.
DataCategorizer not only eliminates duplicates in supplier and material master data, but also corrects false assignments in your transactional data. This is done for 100% of the addressable spend: That means not only item-related orders, but also free text orders and invoices without order reference.
The information in supplier master data (Address, VAT, DUNS etc.) can be merged, cleansed and enriched by either supplier duplicates or an external database with expert knowledge.
Support automation of S2P/SRM processes (Decision support & guidance use case)
DataCategorizer and particularly our “Similarity approach” – powered by AI-based supplier cluster algorithms – helps to uncover alternative suppliers for sourcing processes. By that, the tedious search for substitute suppliers can intelligently be automated and therefore saves important (human) resources.
Group-wide adoption and user enablement
The graphical user interface (UI) allows to incorporate the business users (e.g. category managers) into the process. The UI uses colors for user guiding and decision-making facilitation. The UI is a great enabler to drive adoption across the entire organization.
Trusted pool of Procurement data for better (fact-based business) partnering
Strategic procurement will become a better business partner as it can act upon a trusted data set (single point of truth) and thus has the potential to emerge into a critical value chain contributor. A key milestone on this journey is building trust (business partnering) with validated procurement data, e.g. by Finance.
In this blog you will find expert knowledge about initiative management and project management in strategic procurement. InitiativeTracker is a software for planning and monitoring your sourcing initiatives, controlling your procurement organization and measuring your procurement performance.