A unified framework for business process intelligence
Enterprises are striving to cut down their cost and the same time maintains an expectable level of quality in service delivery to keep the competitive edge. Integral to that is an analysis of business processes in order to identify inefficiencies in the design as well as execution of processes. Subs...
| Main Authors: | Sohail, A., Dominic, D.D. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31722 / |
| Published: |
Springer Verlag
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958532980&doi=10.1007%2f978-981-4585-18-7_49&partnerID=40&md5=05b9e3bf0efc321e3999647c407f08d5 http://eprints.utp.edu.my/31722/ |
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utp-eprints.317222022-03-29T03:35:58Z A unified framework for business process intelligence Sohail, A. Dominic, D.D. Enterprises are striving to cut down their cost and the same time maintains an expectable level of quality in service delivery to keep the competitive edge. Integral to that is an analysis of business processes in order to identify inefficiencies in the design as well as execution of processes. Subsequently, based on the analysis improvement actions are taken. The techniques to identify inefficiencies in process are categorized into two types, a-priori (pre-execution) analysis and posterior (post-execution) analysis. This study focuses on posterior analysis, in which the data produced as a result of process execution are used to identify inefficiencies such as execution delay, and resource utilization. The aim of study is to analyze the existing work on business process improvement and build a unified framework for business process intelligence. © Springer Science+Business Media Singapore 2014. Springer Verlag 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958532980&doi=10.1007%2f978-981-4585-18-7_49&partnerID=40&md5=05b9e3bf0efc321e3999647c407f08d5 Sohail, A. and Dominic, D.D. (2014) A unified framework for business process intelligence. Lecture Notes in Electrical Engineering, 285 LN . pp. 437-444. http://eprints.utp.edu.my/31722/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
Enterprises are striving to cut down their cost and the same time maintains an expectable level of quality in service delivery to keep the competitive edge. Integral to that is an analysis of business processes in order to identify inefficiencies in the design as well as execution of processes. Subsequently, based on the analysis improvement actions are taken. The techniques to identify inefficiencies in process are categorized into two types, a-priori (pre-execution) analysis and posterior (post-execution) analysis. This study focuses on posterior analysis, in which the data produced as a result of process execution are used to identify inefficiencies such as execution delay, and resource utilization. The aim of study is to analyze the existing work on business process improvement and build a unified framework for business process intelligence. © Springer Science+Business Media Singapore 2014. |
| format |
Article |
| author |
Sohail, A. Dominic, D.D. |
| spellingShingle |
Sohail, A. Dominic, D.D. A unified framework for business process intelligence |
| author_sort |
Sohail, A. |
| title |
A unified framework for business process intelligence |
| title_short |
A unified framework for business process intelligence |
| title_full |
A unified framework for business process intelligence |
| title_fullStr |
A unified framework for business process intelligence |
| title_full_unstemmed |
A unified framework for business process intelligence |
| title_sort |
unified framework for business process intelligence |
| publisher |
Springer Verlag |
| publishDate |
2014 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958532980&doi=10.1007%2f978-981-4585-18-7_49&partnerID=40&md5=05b9e3bf0efc321e3999647c407f08d5 http://eprints.utp.edu.my/31722/ |
| _version_ |
1741197624903467008 |
| score |
11.62408 |