Process Mining & Process Intelligence

Process mining is a data-driven approach that involves the discovery, monitoring and improvement of business processes based on the analysis of event logs and data generated during the execution of these processes. It provides insights into how processes are actually performed; uncovering patterns, bottlenecks and inefficiencies.

The goal of process mining is to enhance understanding, transparency and optimization of organizational processes. It is particularly valuable in complex organizations where processes involve numerous interconnected steps, and the real execution may deviate from documented procedures.

Process mining is commonly used in industries such as manufacturing, healthcare, finance and logistics to streamline operations and enhance overall performance. Advice and solutions for process mining can be found in the resources below.

Process intelligence is data that has been systematically collected to analyze the individual steps within a business process or operational workflow. Process intelligence exceeds process mining by building on the visibility it provides to connect processes, teams and technologies together – using data to create a digital twin of end-to-end processes.

It can autonomously highlight sources of inefficiency and customer friction, utilizing specialized process improvement knowledge to recommend changes and interventions to optimize end-to-end processes.