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Measuring Business-IT Alignment, Framework Development and Case Study Results Read chapter Read first chapter

2014 | OriginalPaper | Chapter

21. Ontology and SOA Based Data Mining to Business Process Optimization

Authors : Aleksander Pivk, Olegas Vasilecas, Diana Kalibatiene, Rok Rupnik

Published in: Information System Development

Publisher: Springer International Publishing

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Abstract

The need to improve business process efficiency, to react quickly to changes and to meet regulatory compliance is the main driver for using Business Process Intelligence (BPI). BPI refers to the application of Business Intelligence techniques, like data warehousing, data analysis, and data mining, to find correlations between different workflow aspects and performance metrics, to identify the causes of bottlenecks, and to find opportunities for business process prediction and optimization, e.g. elimination not necessary steps. In this paper we propose an ontology and Service Oriented Architecture (SOA) based approach for data mining process implementation for business processes optimization. The proposed approach was implemented in eight commercial companies, covering different industries, such as telecommunications, banking and retail. The experiment achieved shows that companies having data warehouse had a significant advantage, e.g. it allows us to eliminate not necessary operations and optimise business process.

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previous chapter Identifying Essential and Optional Decision Constructs in On-line Transactional Processes
next chapter Data-Aware Conformance Checking for Declarative Business Process Models
Footnotes
1
Here Data mining is understood as extracting or “mining” knowledge from large amounts of data in order to discover implicit, but potentially useful information.
 
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Metadata
Title
Ontology and SOA Based Data Mining to Business Process Optimization
Authors
Aleksander Pivk
Olegas Vasilecas
Diana Kalibatiene
Rok Rupnik
Copyright Year
2014
Book
Information System Development

Print ISBN: 978-3-319-07214-2

Electronic ISBN: 978-3-319-07215-9

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-07215-9_21

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