Abstract
Information systems support and ensure the practical running of the most critical business processes. There exists (or can be reconstructed) a record (log) of the process running in the information system. Computer methods of data mining can be used for analysis of process data utilizing support techniques of machine learning and a complex network analysis. The analysis is usually provided based on quantitative parameters of the running process of the information system. It is not so usual to analyze behavior of the participants of the running process from the process log. Here, we show how data and process mining methods can be used for analyzing the running process and how participants behavior can be analyzed from the process log using network (community or cluster) analyses in the constructed complex network from the SAP business process log. This approach constructs a complex network from the process log in a given context and then finds communities or patterns in this network. Found communities or patterns are analyzed using knowledge of the business process and the environment in which the process operates. The results demonstrate the possibility to cover up not only the quantitative but also the qualitative relations (e.g., hidden behavior of participants) using the process log and specific knowledge of the business case.
Highlights
Information system SAP is a world leader in the field of the enterprise resource planning (ERP) software and related enterprise applications
We proved that the approach uncovered some patterns by found representativeness parameters that are typically present on this business process
The suggested methodology shows the importance of visualization of the network and the community detection capability for decision support
Summary
Information system SAP is a world leader in the field of the enterprise resource planning (ERP) software and related enterprise applications. This ERP system enables customers to run their business processes, including accounting, purchase, sales, production, human resources, and finance, in an integrated environment. The system provides a digital footprint of its run as it logs on more levels. When companies use such complex information systems, this software must support their managers to have enough information for their decisions. What they can obtain from the actual information systems is usually information of quantitative types, e.g., “how many”, “how long”, “who”,
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