EMS Platform
Celonis provides the world’s most advanced Process Mining engine. Using AI and an in-memory patented database to sift through terabytes of system, process and desktop user data, the Core Mining Engine creates a ‘Digital Twin’ of your organization. It identifies which execution gaps have the biggest impact on your capacity and triggers real-time actions to eliminate those gaps.
The core mining engine automatically turns real-time data into knowledge about how your processes run, while allowing for easy editing of business and process KPIs.
Then the Core Mining Engine draws on Celonis Machine Learning to interpret that knowledge, identify execution gaps, and know the best course of action to fix them.
Lastly, the Core Mining Engine triggers the Automation Engine to take corrective action, and the two engines work in tandem to maximize execution capacity.
See all the execution gaps in your processes no matter how large or complex the data from your systems, thanks to a patented in-memory Process Mining engine.
Celonis Machine Learning scours complex process data and uncovers hidden execution gaps that adversely affects your KPIs — in real-time — and triggers actions to fix them.
Execution gaps in one process can affect execution capacity in another. Understand the interdependencies of your processes and the impact they’re having.
Create KPIs using process-query language that’s accessible to any business user.
Achieve in one line what you’d normally need a page of SQL and a data expert to do.
Get instant answers to process questions and trigger automations with the Core Mining Engine, which supports huge data sets with query response times of less than 1/8 of a second.
Celonis Process Query Language (PQL) provides a fast, simple way for you to create specific KPIs. PQL also comes with pre-built functions for processes.
See how different processes are connected to one other with multi-event logs, creating a unified process model for your entire business.
Celonis Process Mining algorithms create data structures that go beyond traditional event logs by connecting system process data to desktop user data and creating a holistic process model.
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