ZU-Report - Turn Data into Insights. Optimize Processes. Ensure Quality.

In modern manufacturing, vast amounts of data are generated every day – but real value comes from transforming that data into actionable insights. With ZU-Report, Ziemann & Urban offers a powerful data mining tool that converts your inspection and measurement data into a solid foundation for informed decisions and continuous process optimization.
As a central analytics platform, ZU-Report processes data from ZU-Vision and ZU-Control, providing full transparency across your production processes. Whether individual measurements, complex inspection routines, or large historical datasets – all information is structured, clearly visualized, and easily accessible for in-depth analysis.

With support for modern SQL databases (MS SQL, MySQL, MariaDB) and a highly scalable architecture, ZU-Report can integrate an unlimited number of systems, products, and evaluations. Even with large data volumes, performance remains consistently high – including in high-speed environments with decentralized data collection and centralized consolidation.
ZU-Report enables flexible, application-specific analysis of your production data. Filter, compare, and visualize results exactly according to your needs. From defect frequency analysis and cavity-based evaluations to detailed raw data insights – you gain full visibility into quality and process stability at all times.

Comprehensive export functions (e.g. Excel, PDF, HTML) as well as the storage of images support reporting, documentation, and communication – both internally and externally. Redundant data storage also ensures maximum security.

Your benefits at a glance:
• Centralized analysis and visualization of inspection and measurement data
• Scalable for unlimited systems and products
• Powerful data mining for data-driven process optimization
• Flexible filtering and analysis tailored to your application
• Seamless integration with ZU-Vision and ZU-Control

ZU-Report – because data only creates value when it is understood.