Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/DC4745EE-F7EB-4981-AF72-A7B6ACFD22E7 | - |
| Identifier | http://link.springer.com/article/10.1007/s40070-015-0050-4 | - |
| Identifier | https://doi.org/10.1007/s40070-015-0050-4 | - |
| Language | en | - |
| Extent | 18 pages | en |
| Title | Business process analytics: a dedicated methodology through a case study | en |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Michael Doumpos | en |
| Creator | Δουμπος Μιχαλης | el |
| Creator | Delias Pavlos, 1980-… | en |
| Publisher | Springer Verlag | en |
| Content Summary | Business process analytics is a set of techniques that can be applied to event datasets created by logging the execution of business processes, and emerges as a promising decision aid field. In this work we propose a methodology based on the process mining approach to guide the implementation of process analytics projects. Following a conceptual analysis of existing methodologies, we extract the common methodological steps and present a practical synthesis. The proposed methodology reaches the business need of exposing more than just a static, marginal snapshot of performance by considering a process perspective. We present the methodology in tandem with a case study of a customer service request handling process. We analyze a real dataset containing events from an incident and a problem management information system, and deliver results that eventually can raise the capacity of the company to manage the process. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-18 | - |
| Date of Publication | 2015 | - |
| Subject | Methodology | en |
| Subject | Process mining | en |
| Subject | Process analytics | en |
| Bibliographic Citation | P. Delias, M. Doumpos and N. Matsatsinis, "Business process analytics: a dedicated methodology through a case study," Euro J. Decis. Process., vol. 3, no. 3, pp. 357-374, Nov. 2015. doi:10.1007/s40070-015-0050-4 | en |
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