Test Data Management

Fast, efficient programming, reliable software, shorter development cycles are common demands on IT. This, but also agile development methods, require a change in thinking.

DB2 z/OS

Log Analysis

ULT4DB2 simplifies most tasks associated with the DB2 Log


Software Asset Management

P-Tracker is a high performance tracking tool.

Your team focuses on software.
We deliver high-quality services.

Cost reduction, performance enhancement, processing time reduction,
data provision and expert system automation to free up experienced technical staff.

Agile test data for agile teams

Change is the new constant. Managing change requires an agile approach with agile teams and flexible tools, especially when it comes to testing.

Today, testing must be quick, easy, reliable and, above all, highly flexible. Agile teams need agile test data to get the releases into production faster. This enables you to respond to rapidly changing markets.

The TDM Suite offers the highest level of flexibility:

  • Scales from teams to projects to departments – all the way to the entire enterprise

  • Generates agile test data for all platforms, whether it’s mainframes or distributed servers

  • Tailors data for all database management systems, e.g. DB2, IMS, VSAM, Oracle, PostgreSQL…

    We advise you on setting up the right TDM strategy.

We are trusted by large and small companies worldwide.

Play Video


Test Data Management with XDM

XDM automates test data management. It provides developers and testers with immediately usable test data, and quality assurance with mass data for performance and acceptance tests. Anonymization of DSGVO-relevant data is possible, as is the generation of synthetic data. Your employees are largely freed from manual work; test data procurement becomes a robust process that ensures on-time delivery. All typically occurring tasks of test data supply are solved automatically.

Play Video


The Masking Tool

The Masking Tool enables the implementation of anonymization by providing ready-to-use masking algorithms. These functions can generate artificial but seemingly real data such as names, addresses, credit card or social security numbers. The generated data is plausible, i.e. credit card numbers are valid and addresses have matching street names, zip codes, cities and countries.