Product module classmate DATA
Turning legacy data into a reliable data foundation.
The software analyzes, cleanses, classifies, and consolidates material and part master data — rule-based, AI-enabeled, traceable, and across ERP and PDM systems.
- Algorithm-based analysis and preparation of your master data
- Reliable structuring and classification based on best-practice models
- Long-term data quality assurance through professionally designed processes
classmate DATA: Boost your data quality permanently!
What sets classmate DATA apart from other systems:
A Set of Rules Instead of a Black Box
Every assignment can be explained. You can see the rule used to classify a data record or identify it as a duplicate—and you can adjust the rule at any time.
Prepares data for AI applications
Artificial intelligence requires clean data. An AI use case can only be as good as its data set.
Up to 80% time savings on data maintenance
Benefit in the long term from carefully defined workflows to maintain data quality.
250+ manufacturing companies
rely on simus systems software
Typical Use Cases for Data Cleaning
Before the ERP migration, for example, to S/4HANA
A migration is the most costly time to ignore data quality—and the best time to ensure it. Any data transferred to the new system without being checked will remain there for the next ten years. classmate DATA analyzes your data in advance, identifies duplicates and incomplete records, and structures the master data to meet the target system’s requirements. As a result, you’ll end up migrating significantly fewer records—but ones that are reliable.
After an acquisition or a consolidation of locations
Two companies mean two established numbering systems, two naming conventions—and the same screw with four different names. classmate DATA consolidates inventories from various sources (e.g., ERP, PDM, and Excel files), identifies identical and similar parts across systems, and maps them to a common classification system. Whether you adopt one of the existing classification systems, use a standard like eCl@ss, or build a new one is up to you—the rule set supports each of these options.
Before Developing AI Applications and Digital Twins
AI applications are only as robust as the data on which they are based. Inconsistent naming conventions, missing attributes, and duplicates rarely lead to obvious errors—but rather to results that appear plausible yet are incorrect. classmate DATA creates the structured, attribute-based foundation upon which such applications can function reliably in the first place. And because every mapping is based on a traceable rule, you can document at any time how your data was generated.
Whitepaper: Fit for AI? – Why Technical Data Holds the Key to AI Success in Mechanical Engineering »
If the proportion of new items is too high
When users can’t find existing data, they create new items—not out of convenience, but because the search yields no results. Every avoidable item incurs long-term costs in procurement, warehousing, work planning, quality assurance, and other departments. classmate DATA makes inventory searchable again through standardized attributes and naming conventions and reveals how many of your items are actually just variants of one another. This increases the reuse rate without requiring users to follow a single additional rule.
Sucess Story
„You have to invest a lot of time and thought in master data management, but it pays off immediately. The excellent cooperation with the competent and friendly consultants from simus systems contributed a lot to the successful course of the project.“
Paul Lung, Head of Master Data Management SAP, HAUSER
classmate DATA: Find it fast instead of searching endlessly!
Previously: No defined structure for recording the names
Afterward: Consistently categorized and therefore easy to find
Big Data Becomes Manageable
classmate DATA makes big data transparent, manageable, and easy to utilize. Existing data—for example, from ERP or PDM systems—is systematically condensed, enriched, and structured using integrated, customizable rules.
Any Classification System
classmate DATA supports any classification system. Company-specific classification systems or product group classifications can be easily integrated into classmate DATA. Standards such as eCl@ss, UNSPSC, or customs tariff codes can, of course, be used. An industry-specific best-practice classification system—developed by simus systems based on insights from numerous projects—can be used as a foundation.
All Information at a Glance
The classmate DATA Data Cockpit presents various data quality analyses in clear, easy-to-read charts. The cockpit can be used in its standard version or configured to meet your specific needs.
Fully Automated
Fast results thanks to fully automated processes! classmata DATA uses analytical algorithms to match company data with target classes. The automatic assignment of data records based on clear rules enables very fast results. Gaps are identified, and classes can be consolidated or defined in greater detail according to your requirements.
Capable of Mapping Complex Dependencies
Complex dependencies are our specialty. The detection of duplicates and similar parts in classmate DATA occurs automatically but can be customized. External data sources such as purchased parts catalogs, standards, technical tables, and 3D CAD models (using classmate CAD) can also be integrated. Calculations and links between pieces of information can be easily established. All definable dependencies, even highly complex ones, can be mapped.
