The data-driven business value matrix - a classification scheme for data-driven business models

Gert Breitfuss*, Michael Fruhwirth, Viktoria Pammer-Schindler, Hermann Stern, Sebastian Dennerlein

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
31 Downloads (Pure)


Increasing digitization is generating more and more data in all areas of business. Modern analytical methods open up these large amounts of data for business value creation. Expected business value ranges from process optimization such as reduction of maintenance work and strategic decision support to business model innovation. In the development of a data-driven business model, it is useful to conceptualise elements of data-driven business models in order to differentiate and compare between examples of a data-driven business model and to think of opportunities for using data to innovate an existing or design a new business model. The goal of this paper is to identify a conceptual tool that supports data-driven business model innovation in a similar manner: We applied three existing classification schemes to differentiate between data-driven business models based on 30 examples for data-driven business model innovations. Subsequently, we present the strength and weaknesses of every scheme to identify possible blind spots for gaining business value out of data-driven activities. Following this discussion, we outline a new classification scheme. The newly developed scheme combines all positive aspects from the three analysed classification models and resolves the identified weaknesses.

Original languageEnglish
Title of host publication32nd Bled eConference Humanizing Technology for a Sustainable Society, BLED 2019 - Conference Proceedings
EditorsAndreja Pucihar, Mirjana Kljajic Borstnar, Roger Bons, Juergen Seitz, Helen Cripps, Doroteja Vidmar
PublisherUniversity of Maribor Press
Number of pages18
ISBN (Electronic)978-961-286-280-0
Publication statusPublished - 2020
Externally publishedYes
Event32nd Bled eConference 2019: Humanizing Technology for a Sustainable Society - Bled, Slovenia
Duration: 16 Jun 201919 Jun 2019
Conference number: 32


Conference32nd Bled eConference 2019
Abbreviated titleBLED


  • Business model innovation
  • Business value matrix
  • Classification
  • Data analytics
  • Data-driven business model


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