TomTom for business process management (TomTom4BPM) Navigation systems have proven to be quite useful for many drivers. People increasingly rely on the devices of TomTom and other vendors and find it useful to get directions to go from A to B, know the expected arrival time, learn about traffic jams on the planned route, and be able to view maps that can be customized in various ways (zoominzoomout, show fuel stations, speed limits, etc.). However, when looking at business processes, such information is typically lacking. Good and accurate maps of business process are often missing and, if they exist, they tend to be restrictive and provide little information. For example, very few business process management systems are able to predict when a case will complete. Therefore, we advocate more TomTomlike functionality for business process management (TomTom4BPM). Process mining will play an essential role in providing TomTom4BPM as it allows for process discovery (generating accurate maps), conformance checking (comparing the real processes with the modeled processes), and extension (augmenting process models with additionaldynamic information).

Intelligent Support of the Business Process Model Analysis and Improvement Method Since business process modeling is considered as the foundation of Business Process Management, it is required to design understandable and modifiable process models used to analyze and improve depicted business processes. Therefore, this article proposes a method for business process model analysis and improvement. The lifecycle of Business Process Management from business process modeling to applying the Business Intelligence and process mining techniques is considered. Existing approaches to business process model analysis are reviewed. Proposed method is based on best practices in business process modeling, process model metrics, and corresponding thresholds. The usage of business process model metrics and thresholds to formalize process modeling guidelines is outlined, as well as the procedure of business process model analysis and improvement is shown. The application of Business Intelligence techniques to support the proposed method is demonstrated, as well as the obtained results are shown and discussed.