Semantic Business Process Mining of SAP Transactions

View Sample PDF

Author(s): Jon Espen Ingvaldsen (Norwegian University of Science and Technology, Norway)and Jon Atle Gulla (Norwegian University of Science and Technology, Norway)
Copyright: 2010
Pages: 14
Source title: Handbook of Research on Complex Dynamic Process Management: Techniques for Adaptability in Turbulent Environments
Source Author(s)/Editor(s): Minhong Wang (University of Hong Kong, Hong Kong)and Zhaohao Sun (University Of Ballarat, Australia )
DOI: 10.4018/978-1-60566-669-3.ch017

Keywords: Business & Management / Business Information Systems / Business Process Management / Business Science Reference

Purchase

View Semantic Business Process Mining of SAP Transactions on the publisher's website for pricing and purchasing information.

Abstract

This chapter introduces semantic business process mining of SAP transaction logs. SAP systems are promising domains for semantic process mining as they contain transaction logs that are linked to large amounts of structured data. A challenge with process mining these transaction logs is that the core of SAP systems was not originally designed from the business process management perspective. The business process layer was added later without full rearrangement of the system. As a result, system logs produced by SAP are not process-based, but transaction-based. This means that the system does not produce traces of process instances that are needed for process mining. In this chapter, we show how data available in SAP systems can enrich process instance logs with ontologically structured concepts, and evaluate techniques for mapping executed transaction sequences with predefined process hierarchies.

The IRMA Community

Research IRM

Semantic Business Process Mining of SAP Transactions

Purchase

Abstract

Related Content

IRMA Sponsors