Prof. Dr. h.c. Hasso Plattner

Research Areas

Our research focuses on the principles of in-memory data management on modern hardware and the integration of different hard- and software systems to meet business requirements. This involves studying the conceptual and technological aspects of modern enterprise applications profiting from hybrid transactional and analytical data processing and computational statistics. In customer-centered enterprise software development, the focus is on the end users. Developing solutions tailored to user needs in a timely manner requires well-designed tools and methods for enterprise systems design and engineering. We apply our findings to real-world scenarios and showcase future enterprise applications by developing and evaluating functional prototypes closely together with our industry partners. One particular domain of interest is the application of in-memory data management in life sciences.

The increase of computing power with new multi core hardware architectures is about to accomplish new breakthroughs in the software industry. It allows for significant parallelization of application processes with new data management paradigms, as well as in-memory, real-time analytics over massive amounts of data.

Data-driven decision-support for enterprise applications and revenue management (RM) has become highly relevant in recent years as firms face the challenge of integrating data-driven automation in their processes. Specifically, our research group investigates how decision problems can be solved using quantitative methods of operations research and data science in order to improve automated decision-making in the areas of RM and business analytics.

In a business context, a designed product or service is often the most direct channel of communication to the end-user. A good or bad design has an undeniable impact on branding. In effect, design becomes a proxy for the company, where the feeling and emotions that an end-user experiences with what is designed becomes the feelings and emotions that the end-user has for the company.