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Data Science Canvas: Evaluation of a Tool to Manage Data Science Projects

  • Data emerged as a central success factor for companies to benefit from digitization. However, the skills in successfully creating value from data – especially at the management level – are not always profound. To address this problem, several canvas models have already been designed. Canvas models are usually created to write down an idea in a structured way to promote transparency and traceability. However, some existing data science canvas models mainly address developers and are thus unsuitable for decision-makers and communication within interdisciplinary teams. Based on a literature review, we identified influencing factors that are essential for the success of data science projects. With the information gained, the Data Science Canvas was developed in an expert workshop and finally evaluated by practitioners to find out whether such an instrument could support data-driven value creation.

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Metadaten
Document Type:Conference Object
Language:English
Author:Thomas Neifer, Dennis Lawo, Margarita Esau
Parent Title (English):Proceedings of the 54th Hawaii International Conference on System Sciences
Pagenumber:10
First Page:5399
Last Page:5408
ISBN:978-0-9981331-4-0
URN:urn:nbn:de:hbz:1044-opus-52893
URL:http://hdl.handle.net/10125/71277
DOI:https://doi.org/10.24251/HICSS.2021.657
Publisher:ScholarSpace
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2021/01/05
Tag:Advances in Design Science Research; data literacy; data science; data science canvas
Departments, institutes and facilities:Fachbereich Wirtschaftswissenschaften
Institut für Verbraucherinformatik (IVI)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten
Entry in this database:2021/01/10
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International