The Information Systems (IS) group studies design, optimization and computer-aided decision support in operational processes within and between organizations.

Create value through intelligent processing of business information

The Information Systems (IS) Group at Eindhoven University of Technology (TU/e) operates within the general area of business information systems. Our research focuses on the design, optimization and computer-aided support of operational processes within and between organizations through business process engineering. We study implications for information systems, information system design, governance and decision support. The research focus includes design methods, analysis tools, information system architectures, data mining and intelligent systems development using advanced prototypes. Our approach is model-centric and engineering-oriented, integrating basic and applied research with contemporary real-world cases.

Business organizations increasingly depend on their information systems to align internalorganization structures and deal with the complexity and changeability of markets. Up-to-date, complete and accurate information from big data has become a necessity to survive in an increasingly competitive world. As overseeing operations becomes too complicated for humans, business requirements related to information systems are growing exponentially. Rapid developments in information technology enable application types unimaginable a few years ago. Information systems are vital for the design and control of successful operational processes. Increasing complexity and dependence on information systems are driving  significant changes across many sectors, from logistics, mobility services and hi-tech manufacturing to healthcare. 

IS research concentrates on the following: 

• Process modeling, architecture design and software management
• Optimal decision support and intelligent system design
• Balancing theoretical foundation and practical application 
• Harmonizing demand-pull and technology-push developments in the field  
• Business Process Engineering for Smart Mobility and HealthCare

The IS group studies implications for information system architectures and design, business process modeling, governance and decision support and distinguishes two research lines, also referred to as solution or technology domains: 

• Business Process Management is devoted to the investigation and development of new concepts, models, techniques and application scenarios for the management of and information exchange in  operational business processes. Developing theory-based connections between elements in this spectrum is a major focus, such as engineering business models into business processes, mapping business processes onto system architectures, designing information models into decision structures and providing integration with elements in the business process intelligence research line. 
  
  
• Business Process Intelligence develops methods, techniques and tools for advanced analysis of business processes and optimal decision-making in their execution. Data mining, process mining, machine learning and computational intelligence methods are applied for building consistent models that make use of different modalities of data from multiple sources. These approaches can be used to design information system architecture for developing intelligent decision support with which organizations can fulfil their goals of operational excellence and improved decision making.

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