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

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

Unsere Forschungsgruppe hat kürzlich den Artikel „Data Science Canvas: Evaluation of a Tool to Manage Data Science Projects“ auf der Hawaii International Conference on System Sciences (HICSS) vorgestellt und publiziert:

Der Artikel „Data Science Canvas: Evaluation of a Tool to Manage Data Science Projects“ wurde von Thomas Neifer, Dennis Lawo und Margarita Esau verfasst – 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.

Falls Sie den Data Science Canvas in Ihren Projekten anwenden möchten, finden Sie eine Druckvorlage hier (github.com/tomalytics/datasciencecanvas) zum Download. Dort finden Sie auch weitere hilfreiche Dokumente zum Data Science Canvas. Weiterhin stehen die Autorinnen Ihnen gerne bei Rückfragen zur Verfügung.

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