BI: Corporate information systems

As digitalization progresses, companies are generating increasingly vast data and knowledge landscapes, yet much of this potential remains untapped. Analysis is often labor-intensive, expertise is siloed, and decisions must be made under constant time pressure. Augmented Analytics and Large Language Models (LLMs) are opening new avenues for decision and process support—for example, through automated evaluations, explainable recommendations, or dialogue-based access to data and documentation. Consequently, intelligent, interactive features are becoming essential for business information systems to provide transparency and enhance the ability to act within complex environments.

The Business Information Systems department focuses on the software development and testing of user-centered, data-driven information systems at the intersection of people, organization, and technology—specifically for industrial value chains and digitalized production and service processes. Our core focus is on how AI-supported assistance and analytics functions can effectively empower professional users, ranging from intuitive information processing to context-sensitive process and decision support.

A primary research area is the application-oriented exploration, development, and integration of LLMs and eXplainable AI (XAI): Which approaches deliver reliable value in specific business contexts, and how can results be embedded into existing systems in a traceable and robust manner? Through this work, we provide practical contributions to key topics in digital transformation, intelligent systems, secure distributed IT architectures, and interactive assistance solutions.

If you are interested in collaborative research or transfer projects, we look forward to hearing from you.