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2014 | OriginalPaper | Buchkapitel

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

verfasst von : Aleksander Pivk, Olegas Vasilecas, Diana Kalibatiene, Rok Rupnik

Erschienen in: Information System Development

Verlag: 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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Titel: Ontology and SOA Based Data Mining to Business Process Optimization
verfasst von: Aleksander Pivk
Olegas Vasilecas
Diana Kalibatiene
Rok Rupnik
Verlag: Springer International Publishing
Buch: Information System Development
Print ISBN: 978-3-319-07214-2

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

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-07215-9_21

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