Your processes are not running efficiently? Our data and process analytics experts identify, monitor and improve your business processes to help you achieve your business goals smoothly.
We compare the customer's process requirements with standard, industry-specific process templates to assess the customisation requirements.
We analyze every process in depth to fix what's broken, trim waste, and add value at every hot-spot.
By focusing on processes with hot spots, we evaluate which software solutions drive value creation.
We develop tailored solutions for optimized business processes and we make them cloud ready.
Technology is at the epicenter of every business strategy and process, and companies that fail to stay on the leading-edge experience lower production rates and decreasing profitability. We see Process Management (PM) as the starting point and foundation of any digital transformation—It is an ongoing discipline that needs to be regularly reviewed and fine-tuned.
Where others immediately start building IT solutions, we take a different approach. First, we analyze each core business process in its entirety to fix what's broken, eliminate what's redundant, and identify the "hot spots" of opportunity where we can add and increase value.
Our process management methodology for digital transformation makes core processes transparent so that they can be optimized and successfully managed in the long term. We look for opportunities to create value in every process. We optimally prepare the process landscape for cloud technologies.
Where you are today
With business objectives
Technologies, processes, user adoption
Transition management
Track success
A lot can be written. That's why we offer you a live demonstration of the Celonis Process Mining software. How does process mining work in concrete terms? How are core processes analyzed? Which insights can be gained? We will give you the answers to all these questions in our free 30-minute live session.
Process mining is a data-driven analysis technique that enables companies to understand, visualize and optimize their business processes based on actual data. It uses event logs from IT systems to analyze the flow of processes and gain insights into their execution.
Process mining is a method of data analysis that visualizes and analyzes a company's processes using event data (logs) from various IT systems to uncover weaknesses and optimization potential. The method uses special algorithms and models to reconstruct and visualize business processes in order to understand process flows, identify deviations and uncover weak points. By identifying bottlenecks, inefficiencies and sources of errors, companies can optimize their processes and thus improve their efficiency, quality and profitability.
Process mining helps companies to objectively analyze processes and identify bottlenecks, inefficient steps and optimization opportunities. This enables more targeted process optimization and improves overall efficiency.
Process mining helps to really get to know the whole process. Through process mining, business users can formulate best practices, consider process variations and define the basis for process automation. Compliance, audit and process automation are supported. It enables companies from all industries to harmonise their processes and optimise, for example, lead times, process costs and process stability.
The difference between process mining and classic business process management (BPM) is that BPM is a continuous process of planning, executing, monitoring, and optimizing business processes, while process mining is a tool for analyzing data from IT systems to uncover weaknesses and optimization potential. Process mining bridges the gap between the two disciplines by combining data analysis with modeling, control and improvement of business processes.
While BPM takes a proactive approach and actively plans and optimizes processes, process mining is a retrospective approach that uses the analysis of historical data to gain insights into existing processes. Process mining can therefore be used as a complement to BPM to review existing processes and identify weaknesses that can be improved as part of the BPM system.
A first analysis for a process is already ready after 3 weeks. The go-live takes place in 5 weeks.
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