Data is the lifeblood of the EMS. Connect to and gather time-stamped event logs from operational systems and user clicks on desktops in real time to understand your operations like never before.
Extract all the process data from your on-prem and cloud-based ERPs, CRMs, data warehouses, productivity tools, and desktop activities
Turn raw data into meaningful insights by putting it into business context using our transformation engines
Create a data model that represents the multiple connected systems and store it in our powerful in-memory database so it’s ready for process and task mining
The world’s only real-time EMS data platform processing over 160TB every day
Liberate data from over 3,000 unique source systems with pre-built process connectors
Enterprise-strength across security, access management, sign on and deployment
Celonis extracts system process data (or digital footprints) from cloud, enterprise and legacy systems in the form of event logs. Process connectors deliver pre-built extraction and transformation capabilities for every type of source system.
Automate data extraction and transformation to meet the needs of your business with customizable scheduling capabilities — so your execution is based on up-to-date information at all times.
Celonis transforms noisy system data into process models with pre-built, system- and process-specific transformation recipes. You can also build your own using drag-and-drop wizards, no custom scripting required.
Easily create reusable data extractors for any system that offers a REST API. The low-code extractor builder supports all major authentication and authorization methods, including OAuth2 authentication flows, and automatically tags and contextualizes relevant data coming out of the connected systems.
“Celonis provides data in real time that used to take days, sometimes weeks, to obtain. Having this information at our fingertips is very powerful.”
Discover the full suite of Execution Management capabilities available in our platform and embedded into every app.
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