Research at the Business Informatics Group

With our research we aim to increases the efficiency of transforming raw data into useful information and disseminating information throughout the enterprise; thus creating business value by providing better information to decision makers.

Within the BIGroup we are working on various Building Blocks for an Information management framework that assists organisations in managing the transformation process from raw data into useful information. Initial research focused on developing Information Quality Management approaches and models that enables organisations to deliver better information to decision makers. This research has been expanded by tools and approaches for analytical IS and business process modelling. Incorporating principles of quality management, we have developed modelling techniques and methods to manage and increase the value of information in organisations. The overarching theme improves the quality of information used by decision-makers throughout the organisation.

Key Building Blocks of the framework:

  • a comprehensive process modeling and definition concept that allows aligning organisation's people, processes, and data needs to decision-making processes.
  • a monitoring concept that enables decision makers to examine the performance of the data manufacturing system.
  • an analysing element that enables decision makers to perform root-cause and GAP analysis of the performance of the data manufacturing system.
  • novel analytical and visualisation approaches to improve decision making.

The framework allows being adapted into various organisations. It recognises the shift in many organisations that empowers knowledge workers and the use of data gathering technologies that allow information from new sources and through innovative modes.

In addition to public funded research projects, we also carry out collaborative research projects with industrial partners from various sectors, such as telecommunication, financial service, healthcare and government. This intensive interaction and collaboration with organisations can be characterised as an "action research" approach with design science principles. Research is also integrated in our educational programme, in particular in our European MSc in Business Informatics. Students can complete their research project in collaboration with an industrial partner.

Research Oportunities:
Building practice-academic partnerships and carrying out application-oriented and collaborative research projects are benefical for all participants. Often these collaborative research projects receive financial support on a national and European level (For further information see for example Enterprise Ireland, Science Foundation Ireland or European Union).

Practitioners and enterprises interested in a possible research project and collaboration please contact Markus Helfert.

The Business Informatics Research Group has competences and solutions in the following areas:

  • Information Quality Management
  • Cloud Computing
  • Big Data
  • Enterprise Analytics
  • Green IT / Sustainability
  • Analytical Information Systems and Business Intelligence
  • Social Network and Relationship Analytics
  • Business Process Modelling and Management
  • Supply Chain Management
  • Data Warehousing / Data Management

Advantages from research co-operation include for example:

  • Problem-oriented development of models, methods and tools with a particular focus on the problems of the corporate partner
  • Relevance of research results in practice
  • Involvement of research students in projects
  • Sharing and complementing expertise through the co-operation of researcher and practitioners
  • Discussion and dissemination of research results within the research community