Title: Data products
Authors : Meierhofer, Jürg
Stadelmann, Thilo
Cieliebak, Mark
Published in : Applied data science : lessons learned for the data-driven business
Pages : 47
Pages to: 61
Editors of the parent work: Braschler, Martin
Stadelmann, Thilo
Stockinger, Kurt
Publisher / Ed. Institution : Springer
Publisher / Ed. Institution: Cham
Issue Date: 2019
License (according to publishing contract) : Licence according to publishing contract
Type of review: Editorial review
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.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Institute of Data Analysis and Process Design (IDP)
Publication type: Book part
DOI : 10.1007/978-3-030-11821-1_4
ISBN: 978-3-030-11820-4
URI: https://digitalcollection.zhaw.ch/handle/11475/17339
Appears in Collections:Publikationen School of Engineering

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