Our multidimensional Process Mining techniques can be applied to get insight into the execution of business processes. The obtained knowledge may be one of the drivers for the business development, from the operational to the strategical perspectives.
Typically represented in event logs, business process data describe the execution of process events over time. Business process intelligence (BPI) techniques such as process mining can be applied to get strategic insight into business processes. Process discovery and conformance checking are possible applications for knowledge discovery on process data.
By applying process mining techniques on data that describe the behavior of process instances, it is possible to discover and analyze the business as it is being executed. However, so far, these techniques are typically designed to focus on specific process dimensions, omitting information potentially relevant for the analysis comprehension.
Specially designed to support dynamic hypothesis-driven exploration of data, online analytic processing (OLAP) systems are commonly used as reporting tools in almost every application for business intelligence.
Exploiting the data by combining different dimensions with some measures of interest, it is possible to adjust on-the-fly the analysis' level of abstraction in an interactive way. This ability provides an extended overview of the business processes, enabling the enhancement or development of the business.
SPECIAL ACCESS CONDITIONS
Data about business operations (event logs).
- Characterization and representation of ‘as-is’ business processes
- Conformance checking of business rules
- Identification of behavior patterns in the execution of business operations
Conformance checking on vehicle-based logistics operations using geolocation data.