Process Management Leads to Sustainable Success

Software-based systems are occupying an ever more important place both in our professional and in our private lives. Autonomous driving, Industry 4.0, the Internet of Things, or Big Data stand for innovations that are only made possible by software. However, the general trend towards digitalization also leads to various challenges that have to be mastered with regard to the development of software-based systems. System complexity, for instance, is growing constantly. Not only the technical processes and business processes controlled with such systems are becoming more complex: Systems are also increasingly being interconnected with each other in order to offer customers added value compared to individual solutions. The product innovation cycles are also becoming shorter and shorter. In the area of web-based applications, there is even talk of continual deployment of new functionalities. This trend towards digitalization and system integration also leads to the creation of completely new business models – for example on the basis of Big Data analyses.

In the area of Process Management, we study how a company must be set up in order to address these challenges in terms of processes. To do so, we pursue two principal methods for process improvement:

  • Our process engineers follow a best-practice-oriented approach: This means that existing processes are optimized with regard to adherence to proven processes. Whether the issue is the introduction of agile processes in accordance with Scrum, Kanban, XP, Scaled Agile Framework, or the improvement of your very own (classic or agile) processes: We have the necessary background knowledge about techniques, methods, and tools needed to transfer promising approaches to your company. As an applied research institute, we are also in touch with the latest trends in terms of new and innovative methods for the development of software-based systems and can assist you in testing these.
  • Our data engineers follow an empirical approach: That is, improvement goals are identified, data are collected about the corresponding processes, weaknesses are identified, improvement measures are initiated, and their effects are analyzed. Whether the issue is the establishment of performance indicator systems in accordance with GQM or GQM+Strategies®, the improvement of software quality in accordance with ISO/IEC 25010, the development of prediction models, or the interconnection and analysis of extensive organizational data: We have the appropriate competencies and tools to work with you to find reasonable application scenarios, to systematically analyze your data, and to derive patterns and models from them.