| Publication type: | Book part |
| Type of review: | Editorial review |
| Title: | Data products |
| Authors: | Meierhofer, Jürg Stadelmann, Thilo Cieliebak, Mark |
| DOI: | 10.1007/978-3-030-11821-1_4 |
| Published in: | Applied data science : lessons learned for the data-driven business |
| Editors of the parent work: | Braschler, Martin Stadelmann, Thilo Stockinger, Kurt |
| Page(s): | 47 |
| Pages to: | 61 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-11820-4 978-3-030-11821-1 |
| Language: | English |
| Subjects: | Smart service; Data product; Service design; Value proposition design |
| Subject (DDC): | 005: Computer programming, programs and data |
| Abstract: | Data science is becoming an established scientific discipline and has delivered numerous useful results so far. We are at the point in time where we begin to understand what results and insights data science can deliver; at the same time, however, it is not yet clear how to systematically deliver these results for the end user. In other words: how do we design data products in a process that has relevant guaranteed benefit for the user? Additionally, once we have a data product, we need a way to provide economic value for the product owner. That is, we need to design data-centric business models as well. In this chapter, we propose to view the all-encompassing process of turning data insights into data products as a specific interpretation of service design. This provides the data scientist with a rich conceptual framework to carve the value out of the data in a customer-centric way and plan the next steps of his endeavor: to design a great data product. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/17339 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) Institute of Data Analysis and Process Design (IDP) |
| Appears in collections: | Publikationen School of Engineering |
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Meierhofer, J., Stadelmann, T., & Cieliebak, M. (2019). Data products. In M. Braschler, T. Stadelmann, & K. Stockinger (Eds.), Applied data science : lessons learned for the data-driven business (pp. 47–61). Springer. https://doi.org/10.1007/978-3-030-11821-1_4
Meierhofer, J., Stadelmann, T. and Cieliebak, M. (2019) ‘Data products’, in M. Braschler, T. Stadelmann, and K. Stockinger (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 47–61. Available at: https://doi.org/10.1007/978-3-030-11821-1_4.
J. Meierhofer, T. Stadelmann, and M. Cieliebak, “Data products,” in Applied data science : lessons learned for the data-driven business, M. Braschler, T. Stadelmann, and K. Stockinger, Eds. Cham: Springer, 2019, pp. 47–61. doi: 10.1007/978-3-030-11821-1_4.
MEIERHOFER, Jürg, Thilo STADELMANN und Mark CIELIEBAK, 2019. Data products. In: Martin BRASCHLER, Thilo STADELMANN und Kurt STOCKINGER (Hrsg.), Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 47–61. ISBN 978-3-030-11820-4
Meierhofer, Jürg, Thilo Stadelmann, and Mark Cieliebak. 2019. “Data Products.” In Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger, 47–61. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_4.
Meierhofer, Jürg, et al. “Data Products.” Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler et al., Springer, 2019, pp. 47–61, https://doi.org/10.1007/978-3-030-11821-1_4.
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