Use of Process Mining in Erps: A Model for the use of Process Mining Techniques to Improve Erps Usability

Enterprise Resource Planning (ERP) Systems collect data and information across the enterprises, helping users and managers perform operations and processes more efficiently while also allowing for more informed decision making. Process Mining on the other hand is a specific technique of data mining...

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Bibliographic Details
Main Author: Lucas, João Pedro Rolo
Format: Dissertation
Language:English
Published: ProQuest Dissertations & Theses 01-01-2023
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Summary:Enterprise Resource Planning (ERP) Systems collect data and information across the enterprises, helping users and managers perform operations and processes more efficiently while also allowing for more informed decision making. Process Mining on the other hand is a specific technique of data mining that is process-centric and uses event data to provide a holistic view of the different processes. ERPs produce event log data suitable to be used in Process Mining to better understand the different processes of a particular business. This study presents a model that consists of an abstract representation of an architecture that efficiently integrates process mining techniques within the workflow on an ERP system improving its usability and increasing its value to the organizations.This research follows a design science research methodology to create an artifact through a systematic literature review that supports the design and development of a model considered to be the artifact. The possible applications of the model are demonstrated through a use case, and its evaluation is done recurring to interviews to experts. The model presents an alternative to integrate process mining into ERP systems that can be adopted by organizations and works as base ground to incorporate other technologies such as machine learning and robotic process automation (RPAs).
ISBN:9798383892633