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

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Title:Data Science Canvas: Evaluation of a Tool to Manage Data Science Projects
Authors:Neifer, Thomas
Lawo, Dennis
Esau, Margarita
Keywords:Advances in Design Science Research
data literacy
data science
data science canvas
Date Issued:05 Jan 2021
Abstract: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.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/71277
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.657
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Advances in Design Science Research


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