The Total Economic Impact™ Of Celonis

Process improvements at large enterprises require transparency and collaboration among all teams involved. As process intelligence technologies like process mining and modeling mature, enterprises are increasingly using these technologies to make their processes work. Leaders expect to deliver process improvements at scale through enhanced process transparency, modeling, and orchestration among contributing teams, while also exploring and enabling advanced AI use cases with process intelligence.

Celonis combines process data and business context to help organizations understand their business, optimize operations, and drive value across the top, bottom, and green lines. The platform uses object-centric process mining (OCPM), which overcomes the limitations of traditional process mining techniques and allows organizations to better visualize and analyze the complexity and interconnectedness of modern business operations. Once those operations are understood, Celonis enables organizations to design the processes they want; make sure everyone knows exactly what to do and how to do it; monitor adherence to make sure the change is sticking; and build and orchestrate AI solutions and automations. Celonis works across a broad range of systems (e.g., enterprise resource planning [ERP], supply chain management [SCM], human capital management [HCM]) and is system-agnostic. It also operates an open ecosystem with APIs that feed process intelligence to third-party platforms and tools (AI or otherwise).

Celonis commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Celonis.2 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Celonis on their organizations.