The drive for the evolution of process analytics stemmed from the need for getting end-to-end visibility into complex business processes spanning multiple heterogeneous systems, and in real time. These processes can be within or outside an organization and the systems are mostly disparate. Various mining types encompassed by process analytics include process discovery, process conformance, and process enhancement. Business process analytics imparts visibility to organizations so that they can substantially improve throughput of their processes and work on optimizing these business process. The rising realization of redundancy of business process management (BPM) software to achieve the targeted results is propelling a growing number of organizations to adopt process analytics. Some of the key applications that will witness development in the coming years are IT process and customer interaction. Over the past few years, digitized business processes have picked up rapid pace ...