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Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies

  • Conference paper
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Intelligent Information Systems (CAiSE 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 452))

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Abstract

To exploit the company’s data value, employees must be able to find, understand and access it. The process of making corporate data available to the majority of the company’s employees is referred to as data democratization. In this work, we present the current state and challenges of data democratization in companies, derived from a comprehensive literature study and expert interviews we conducted with a manufacturer. In this context a data consumer’s journey is presented that reflects the required steps, tool types and roles for finding, understanding and accessing data in addition to revealing three data democratization challenges. To address these challenges we propose the use of an enterprise data marketplace, a novel type of information system for sharing data within the company. We developed a prototype based on which a suitability assessment of a data marketplace yields an improved consumer journey and demonstrates that the marketplace addresses the data democratization challenges and consequently, shows that the marketplace is suited for realizing data democratization.

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Notes

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    https://spring.io/.

  2. 2.

    https://neo4j.com/.

  3. 3.

    https://atlas.apache.org/.

  4. 4.

    https://dblp.org/.

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Correspondence to Rebecca Eichler .

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Eichler, R., Gröger, C., Hoos, E., Schwarz, H., Mitschang, B. (2022). Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies. In: De Weerdt, J., Polyvyanyy, A. (eds) Intelligent Information Systems. CAiSE 2022. Lecture Notes in Business Information Processing, vol 452. Springer, Cham. https://doi.org/10.1007/978-3-031-07481-3_3

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  • DOI: https://doi.org/10.1007/978-3-031-07481-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07480-6

  • Online ISBN: 978-3-031-07481-3

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