Business Intelligence & Analytics Systems

Business Intelligence & Analytics refers to the techniques, technologies, systems, practices, methodologies, and applications that analyze critical business data to help an enterprise better understand its business and market and make timely business decisions. In this research area we are specifically focusing on the question of how to design and manage BI & A systems from an end-user perspective in order to achieve effective use and improve decision making.

 

Research Communities:

  • Business Intelligence & Analytics (BI&A)
  • Business Process Management (BPM)
  • Decision Support Systems
  • Human Computer Interaction

Current Research Activities:

  • Process Visibility
  • Standardization and Flexibility in BI Platforms
  • Situational Awareness in Real-Time BI
  • Human-Analytics Interaction

Selected Publications:

  • Graupner, E., Berner, M., Maedche, A. and Jegadeesan, H. 2014. "Assessing the Need for Visibility of Business Processes - A Process Visibility Fit Framework," in BPM 2014 Proceedings, pp. 383-391.
  • Shah, Fawad Ahmed, Kretzer, Martin, and, Mädche, Alexander (2015). Designing an Analytics Platform for Professional Sports Teams. To appear in: ICIS 2015 Proceedings.
  • Kretzer, M. (2015). Linking Report Individualization and Report Standardization: A Configurational Perspective. in ECIS 2015 Proceedings.
  • Berner, M., Augusine, J., and Maedche, A. (2016). The Impact of Process Visibility on Process Performance: A Multiple Case Study of Operations Control Centers in ITSM. To appear in: BISE BPM SI, 2016
  • Nadj, M. and Maedche, A. (2015). Towards a Situation-Awareness-Driven Design of Operational Business Intelligence & Analytics Systems.  In: DESRIST 2015 Proceedings. 
  • Kretzer, M., Gaß, O., & Maedche, A. (2015). Design Principles for Diffusion of Reports and Innovative Use of Business Intelligence Platforms. In Wirtschaftsinformatik Proceedings.