The exact distinction between process mining and business intelligence can be confusing, as the two terms are closely related. Both share a common goal of helping stakeholders make better decisions for their organizations. Yet there are important differences that should be taken into consideration when deciding whether process mining and/or business intelligence is right for your organization.
What is Process Mining?
Process mining is a technique used to analyze, monitor, and optimize business processes. Like data mining, process mining uses algorithms to develop insights from data sets. Organizations can create entirely new processes, correct inefficiencies in existing processes, and make better informed decisions.Process mining is a relatively new technology, originating in the 1990s from the work of Dutch scientistWil van der Aalst. It was not until 2011, however, thatprocess mining gained attention for practical applications. This was the year that process mining leader, Celonis, was founded, where Van der Alst serves as Chief Scientific Advisor.As Gartner wrote in their2018 Market Guide for Process Mining, there are many potential use cases for process mining. Some common examples include:
