The Data Product Canvas: A Visual Collaborative Tool for Designing Data-Driven Business Models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The availability of data sources and advances in analytics and artificial intelligence offers the opportunity for organizations to develop new data-driven products, services and business models. Though, this process is challenging for traditional organizations, as it requires knowledge and collaboration from several disciplines such as data science, domain experts, or business perspective. Furthermore, it is challenging to craft a meaningful value proposition based on data; whereas existing research can provide little guidance. To overcome those challenges, we conducted a Design Science Research project to derive requirements from literature and a case study, develop a collaborative visual tool and evaluate it through several workshops with traditional organizations. This paper presents the Data Product Canvas, a tool connecting data sources with the user challenges and wishes through several intermediate steps. Thus, this paper contributes to the scientific body of knowledge on developing data-driven business models, products and services
Original languageEnglish
Title of host publicationProceedings of the 33rd Bled eConference - Enabling Technology for a Sustainable Society
Pages515-528
ISBN (Electronic)978-961-286-362-3
Publication statusPublished - Jun 2020
Event33rd Bled eConference - Virtuell, Unknown
Duration: 28 Jun 2020 → …

Conference

Conference33rd Bled eConference
CountryUnknown
CityVirtuell
Period28/06/20 → …

Keywords

  • data-driven business model innovation

Fingerprint Dive into the research topics of 'The Data Product Canvas: A Visual Collaborative Tool for Designing Data-Driven Business Models'. Together they form a unique fingerprint.

  • Cite this

    Fruhwirth, M., Breitfuss, G., & Pammer-Schindler, V. (2020). The Data Product Canvas: A Visual Collaborative Tool for Designing Data-Driven Business Models. In Proceedings of the 33rd Bled eConference - Enabling Technology for a Sustainable Society (pp. 515-528)