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.
Autonomous operations are coming but AI can’t deliver them alone
August 21 by Rudy KuhnWhy AI alone is not enough to drive true business value from autonomous operations
Celonis earns FedRAMP authorization to optimize US Federal Government processes
August 20 by Michael HillCelonis has received Federal Risk and Authorization Management Program (FedRAMP) authorization to optimize US Federal Government processes
Salesforce to acquire Regrello to enhance agentic process automation
August 19 by Michael HillSalesforce has signed a definitive agreement to acquire Regrello to advance agentic process automation
How process mining keeps powering business success
August 15 by Vino Livan NadarExplore why process mining keeps powering business success within broader automation stacks
Forrester analyzes 15 process intelligence vendors in new Wave Report
August 13 by Michael HillForrester has analyzed 15 “most significant” process intelligence vendors, categorizing them as Leaders, Strong Performers and Contenders
AI-augmented framework enhances robotic process automation (RPA) with process mining
August 11 by Michael HillNew study proposes a validated, ethically grounded AI-augmented framework to enhance robotic process automation (RPA) with process mining
Celonis makes Visual Capitalist’s list of world’s 50 most valuable private companies
August 06 by Michael HillProcess mining and process intelligence vendor Celonis has been featured in Visual Capitalist’s list of the world’s 50 most valuable private companies
Change management lessons for business transformation leaders
August 05 by Anna KulishevaPEX Network’s All Access: Change Management for Business Transformation webinar series sparked several insightful conversations on thought-provoking topics
5 trends shaping task mining in 2025
August 01 by Pranjal SinghThe growth and evolution of task mining is being fueled by several key factors. Here are five trends shaping task mining in 2025
Forrester study: Celonis process intelligence customers see payback in 6 months, 383 percent ROI in 3 years
July 31 by Michael HillCelonis process intelligence customers see payback in just six months and 383 percent ROI in three years, according to a new study by Forrester Consulting
Task mining – unlocking new possibilities in process optimization: Industry report
July 30 by Michael HillTask mining is an emerging and exciting concept that offers vast potential to unlock new business process optimization possibilities
What is task mining? A PEX Network report
September 06 by Process Excellence NetworkLearn how task mining can unlock impressive business optimization possibilities as well as the challenges surrounding its use