Driving knowledge acquisition via metric life-cycle in process intelligence

Recently, much research work has focused on the design of complex infrastructures for Business Process Management (BPM). Process Intelligence (PI) has emerged as a branchn of the BPM domain that deals with improving and standardizing process inspection and analysis, aiming at improving the speed and the effectiveness of business operations. Currently, PI shows several limitations, e.g. due to the fact that only a limited part of the information collected by BPM systems is actually used. The novel idea of the metric life cycle implemented in our approach is based on the definition of "check points", allowing to better understand the role that each metric can or should cover within a BPM process, and providing an important upgrade in the assessment definition.