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Business Intelligence –
Architects of the management future


Contact: Prof. Dr. Marco Meier

Key issue of the research area Business Intelligence is the value-based and sustainable use of IT in order to support managerial decisions in national and international companies, public institutions and non-governmental organizations. Therefore, this area focuses on examining current problems and challenges, social developments, best practices and the application and integration of already established as well as new technologies. For that purpose, we develop and refine the needed methods and concepts and communicate the results to industry partners and students (future executives).

In essence, we strive to establish clarity in decision situations. Hence, this research area focuses on the decision domains processes, projects, technology and social aspects. As a result, the area of Business Intelligence is divided into the following main topics, which include research, practical projects and teaching:

  1. Process Intelligence
  2. Project Intelligence
  3. Technology Intelligence
  4. Social Intelligence

FBI-Themes_EN

1. Process Intelligence

Business processes are used to realize business models and therewith business success. High complexity as well as dynamics in companies and their environment lead to a lack in realizing potential improvements, especially if there is a change in the business environment. Process Intelligence aims to provide a contribution to the identification of weaknesses, chances and risks in process design and execution in order to contribute to a value-based corporate governance.

Exemplary research questions:

  • How can decision makers identify dynamic effects (indirect consequences, feedback effects) in the context of process related decisions?
  • Which methods can be used in decision situations to identify critical success factors that influence the company value (e.g. in the context of the complaint process)?
  • Is it useful to invest into a shortening of latency between the occurring of an event and a decision on appropriate measures?

Selected publications:

  • Meier MC, Mosig B, Reinwald D (2011) Entscheidungsunterstützung für ein unternehmenswertorientiertes Beschwerdemanagement im Dienstleistungsbereich durch ein dynamisches Simulationsmodell. In: A. Bernstein, G. Schwabe, eds., Proceedings of the 10th International Conference on Wirtschaftsinformatik, Zurich, Switzerland, February 2011, p. 160-169.
  • Meier MC, Reinwald D (2010) A System Dynamics Approach to Value-based Complaint Management including Repurchase Behavior and Word of Mouth. In: Proceedings of the 18th European Conference on Information Systems 2010, Pretoria, South Africa, June 2010, p. 1-13.
  • Meier MC (2010) Vom Prozess zu Prozessketten - Mehrwert für E-Government. Vortrag auf dem 2. Bayerischen Anwenderforum eGovernment, Juni 2010.
  • Röglinger M, Reinwald D, Meier MC (2009) Ein formaler Ansatz zur Auswahl von Kennzahlen auf Basis empirischer Zusammenhänge. In: H. Hansen, D. Karagiannis, H. Fill, eds., Wirtschaftsinformatik 2009 - Business Services: Konzepte, Technologien, Anwendungen (Vol. 2), February 2009, OCG, Vienna, p. 329-338.
  • For further publications please click here

Selected projects with industry partners:

  • Hilti AG (Liechtenstein/Switzerland) - Development of mobile Apps for sales processes
  • Bavarian State Ministry of Finance - Analysis of potential for the improvement of government processes using the example of business registrations
  • Siemens AG - Analysis of success factors in sales processes
  • MLP AG - Analysis of customer value regarding financial services

Lectures:

  • Lecture Wirtschaftsinformatik in Industrie- und Handelsbetrieben
  • Project seminar Management-Support-Systeme
  • Seminar Unternehmensführung und Informationstechnologie
  • For further lectures please click here

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2. Project Intelligence

Projects aim to ensure the survival of companies through innovations as well as organizational and technological adaptations. Naturally, big projects suffer from risks which for example lead to deadline delays, budget overrun or to a total failure of the project. Project Intelligence aims to a fast identification of critical project situations for the person in charge leading to an efficient execution of suitable preventive or reactive measurements.

Exemplary research questions:

  • How can project manager and clients rapidly identify situations which endanger the success of a project?
  • How to efficiently use and track measures to reduce and/or avoid risks?

Selected publications:

  • Buhl HU, Meier MC (2011) Die Verantwortung der Wirtschaftsinformatik bei IT-Großprojekten - Symptome, Diagnose und Therapie. In: WIRTSCHAFTSINFORMATIK, 53 (2011) 2, S. 59-62.
  • Meier MC, Mertens P (2001) The Editorial Workbench - Handling the Information Supply Chain of External Internet Data for Strategic Decision Support. In: Journal of Decision Systems, 10 (2001) 2, S. 149-174.
  • For further publications please click here

Selected projects with industry partners:

  • Federal Employment Agency - Risk management during the implementation of ERP-systems in the public sector
  • BMW AG - IT-based competition analysis
  • OCE Germany GmbH - Role-based information requirements analysis for the governance of "solution business"

Lectures:

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3. Technology Intelligence

The dynamic technology development challenges executives in their decision making on investments into Business Intelligence (information-) technologies. Therefore, the key questions can be stated as: How should those technologies be evaluated regarding benefits and risks? And which information in which form should be provided for decisions on an appropriate use of new technology.

Exemplary research questions:

  • Which benefits arise and which damages can occur by using Business Intelligence?
  • How to efficiently evaluate chances and risks of Business Intelligence (especially regarding in-memory-databases and geographical information systems)?

Selected publications:

  • Meier MC, Scheffler A (2011) Ökonomisch sinnhafte Bewertung von "In-Memory-basierten betrieblichen Informationssystemen". In: Lecture Notes in Informatics, Workshop Innovative Unternehmensanwendungen mit In-Memory Data Management, 2011.
  • Becker T, Heidemann J, Kamprath N, Meier MC, Röglinger M (2010) Wirtschaftlichkeitsanalyse für CRM-Systeme - Ein Erfahrungsbericht. In: Wirtschaftsinformatik & Management, 2, 4, 2010, p. 50-55.
  • For further publications please click here

Selected projects with industry partners:

  • McKinsey & Company - Measurement and Control of benefits in IT-projects
  • GEWOFAG Holding GmbH - Requirements analysis for the outsourcing of the IT user support
  • SAP AG - Integration of internal and external management support information from the internet
  • Telekom Laboratories - Analysis of potential for service-oriented platforms
  • Siemens AG - Benefit assessment in the international decentralized implementation of on-demand CRM systems

Lectures:

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4. Social Intelligence

Corporate management involves social responsibility in various ways. Social responsibility is relevant in the business as a whole (Corporate Social Responsibility), between coworkers as well as on the individual level of executives (responsibility to himself). Due to a lack of clarity in this field, external (scandals) as well as internal (job overload, burnout) crises occur on a regular basis. Therefore, research is needed to clarify how situation-oriented and individualized information systems can contribute to avoid these damages.

Exemplary research questions:

  • Which management support information is relevant regarding a Corporate-Social-Responsibility-Management?
  • What are the benefits of stakeholder information systems and how should they be designed?
  • To what extend does the increasing use of information technology cause executives to have burnout syndromes and how is this avoidable?

Selected publications:

  • Meier MC, Winkler V, Buhl HU (2007) Ansätze zur Gestaltung situierter und individualisierter Anwendungssysteme. In: WIRTSCHAFTSINFORMATIK, 49 (2007) Sonderheft, S. 39-49.
  • Meier MC, Stößlein M, Mertens P (2001) Personalisierung von Management- und Stakeholder-Informations-Systemen. In: Proceedings zur 5. internationalen Tagung Wirtschaftsinformatik 2001, Augsburg, September 2001, S. 235-249.
  • For further publications please click here

Selected projects with industry partners:

  • Federal Employment Agency - External risk management in the reorganization of a federal agency
  • MLP AG - Analysis of customer value regarding financial services

Lectures:

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