From Process Mining to Enterprise Mining

Hans-Jürgen Scheruhn (), Christian Reiter and Elnur Bayramli ()
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Hans-Jürgen Scheruhn: Hochschule Harz
Elnur Bayramli: Hochschule Harz

A chapter in Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, 2024, pp 195-205 from Springer

Abstract: Abstract In digitization projects, a detailed determination of the current situation and validation of the achievement of objectives is usually associated with a great deal of effort and has an impact on all subsequent project phases. While already productive ERP systems in companies typically contain both business and technical information from all departments, many companies fail to collect this information in its entirety in an automated manner, to then consolidate it for a holistic overview of the company which can be used as a foundation for databased decision-making in certain project phases. To make this easier, this research introduces the term enterprise mining and develops a concept for it that consists of one specific information architecture and automated data collection procedures for ERP systems. The information architecture has eight enterprise maps and provides orientation for which information should be collected for a holistic overview of an enterprise with the selected technical data collection procedures.

Keywords: Process mining; Redocumentation; Information architecture; ERP; BPM (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-56576-2_17

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DOI: 10.1007/978-3-031-56576-2_17

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