Article in Proceedings INPROC-2022-05

BibliographyEichler, Rebecca; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies.
In: De Weerdt, Jochen (ed.); Polyvyanyy, Artem (ed.): Proceedings of the 34th International Conference on Intelligent Information Systems.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
Rebecca Eichler, pp. 19-26, english.
Stuttgart: Springer International Publishing, May 28, 2022.
https: //doi.org/10.1007/978-3-031-07481-3_3.
Article in Proceedings (Conference Paper).
CorporationInternational Conference on Business Information Systems
CR-SchemaH.0 (Information Systems General)
KeywordsData Marketplace; Data Sharing; Data Democratization
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.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Project(s)MetaMan
Entry dateJune 19, 2022
   Publ. Institute   Publ. Computer Science