Professorship for Information Systems, in particular Data Science

Organisational unit: Professoship

Organisation profile

The Business Informatics working group, in particular Data Science, headed by Prof Dr Burkhardt Funk, is dedicated to the development and application of data-driven methods for decision support in companies and public institutions.

Main research areas

The research focus lies on the use of data science and machine learning to analyse large amounts of data in order to optimise processes and decisions. A central topic is the development of intelligent systems that support decisions through data-based predictions. Fields of application include healthcare and various operational functions (e.g. marketing, accounting). We have developed approaches for predicting the effectiveness and personalisation of healthcare interventions, methods for extracting knowledge from documents (business documents, scientific papers) and for optimal budget allocation in marketing.

  1. Published
  2. Published

    Führen mit Hilfe IT-gestützter Workflows

    Funk, B. & Niemeyer, P., 2007, Leadership in distributed organisations: Beherrschung der Distanz in verteilt agierenden Unternehmen Kongressband einer Fachtagung in Lüneburg, Feb. 2007. Hiller, A. & Groß, M. (eds.). vwh-Verlag Werner Hülsbusch, p. 57-74 18 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    Geschäftsprozessintegration mit SAP: Fallstudien zur Steuerung von Wertschöpfungsprozessen entlang der Supply Chain

    Funk, B. (Editor), Marx Gómez, J. (Editor), Niemeyer, P. (Editor) & Teuteberg, F. (Editor), 2010, Berlin: Springer. 270 p.

    Research output: Books and anthologiesMonographsResearch

  4. Published

    Green Big Data: A Green IT/Green IS Perspective on Big Data

    Hansmann, T., Funk, B. & Niemeyer, P., 2014, Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013). Funk, B., Niemeyer, P. & Gómez, J. M. (eds.). Berlin, Heidelberg: Springer, p. 67-76 10 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Published

    Green Big Data – eine Green IT/Green IS Perspektive auf Big Data

    Hansmann, T., Funk, B. & Niemeyer, P., 2013, IT-gestütztes Ressourcen- und Energiemanagement: Konferenzband zu den 5. BUIS-Tagen. Marx Gómez, J. C., Lang, C. & Wohlgemuth, V. (eds.). Springer Vieweg, p. 455-466 12 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  6. Published

    Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

    Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    How Big Does Big Data Need to Be?

    Stange, M. & Funk, B., 06.2016, Enterprise Big Data Engineering, Analytics, and Management. Atzmueller, M., Oussena, S. & Roth-Berghofer, T. (eds.). Hershey: Business Science Reference, p. 1-12 12 p.

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  8. Published

    How Much Tracking Is Necessary? - The Learning Curve in Bayesian User Journey Analysis

    Stange, M. & Funk, B., 29.05.2015, Proceedings of the Twenty-Third European Conference on Information Systems. AIS eLibrary, 13 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  9. Published

    How to Predict Mood? Delving into Features of Smartphone-Based Data

    Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H. & Ruwaard, J., 08.2016, Proceedings of the AMCIS 2016. AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2016).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Published

    Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study

    Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatu, K., Funk, B., Whiskey, E. & Taylor, D., 11.2024, In: The British Journal of Psychiatry. 225, 5, p. 484-491 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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