Abstract
Business Process Intelligence (BPI,) is an emerging area that is getting increasingly popularfor enterprises. The need to improve business process efficiency, to react quickly to changes and to meet regulatory compliance is among the main drivers for BPI. BPI refers to the application of Business Intelligence techniques to businessprocesses andcomprises a large range ofapplication areas spanning from process monitoring and analysis to process discovery, conformance checking, prediction and optimization. This
chapter provides an introductory overview of BPI and its application areas and delivers an understanding of how to apply BPI in one's own setting. In particular it shows how process mining techniques such as process discovery and conformance checking can be used to support process modeling and process redesign. In addition, it illustrates how processes can be improved and optimized over time using analytics for explanation, prediction, optimization and what-if-analysis. Throughout the chapter a strong emphasis is given to describe tools that use these techniques to support BPI. Finally, major challenges
for applying BPI in practice and future trends are discussed.
| Original language | English |
|---|---|
| Title of host publication | Handbook of research on business process modeling |
| Editors | J. Cardoso, W.M.P. Aalst, van der |
| Place of Publication | Hershey, PA |
| Publisher | Information Science Reference |
| Pages | 456-480 |
| Number of pages | 607 |
| ISBN (Print) | 978-1-60566-288-6 |
| DOIs | |
| Publication status | Published - 2009 |