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Why Processand?
Processand is a global consulting and software implementation company that drives the successful transformation and digital realignment of IT-supported business processes. We support SMEs and large international corporations in converting their IT and ERP data into actionable insights.
As one of the leading partners of Celonis SE, our focus is on the implementation of the innovative and market-leading process mining technology, the data analysis based on it and the strategic support of our customers. With the help of process mining technology and our extensive process management know-how, we create concrete added value for our customers in the age of increasing IT complexity.
In this way we enable you to become more agile, take advantage of new growth opportunities, optimize your company processes and make the best possible decisions.

Process Implementations
Best in-class use cases
Different IT data-sources
Offices
Our offices
Headquarters
Munich, Germany
Prague, Czech Republic
What our clients say:
Process Mining Use cases
By Industry
By Domain
What is Process Mining?
Process mining is a technique designed to discover, monitor, and improve processes by extracting available knowledge from the event logs in IT systems.
Why Process Mining?
- Process Mining provides you with data-driven insights
- It works on top of your existing systems
- Accurate, fast, and cheap in comparison to its alternatives
What are common business processes?
The most common business processes include O2C (Order to Cash) and P2P (Purchase to Pay). Every enterprise most likely has these processes as their core, there are many more, such as Accounts Receivable, Accounts Payable, Procurement, Order Management, and Inventory Management processes. What is common among all these processes? Processand’s experts will help you optimize all of these processes to help you achieve excellence.
Learn More About Process Mining.
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Begin Your Process Mining Implementation
With over 450 process implementations, we know exactly what the crucial parts of a successful Process Mining initiative are
Alexandra Tyrkich
Head of Data Science


