Transparency in processes.
Identify automation potential.
Process monitoring.
Streamline processes.
Increased agility.
Cost reduction.
Improved times.
Improving productivity.
Greater customer satisfaction.
Improving Working Capital.
Higher income.
Our Center of Excellence (CoE) aims to centralize knowledge and best practices in the use of Celonis in order to provide the best experience and advice thefore maximize the value of each project.
HEAD OF DATA & PROCESS
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Process Mining includes different tools to analyze and improve your processes within the following four areas:
Digital footprint reading: Companies implement their business processes relying on a variety of systems, which makes full visibility of the process difficult.
All these systems leave a digital footprint that is the starting point of Process Mining.
Using calculation algorithms, Process Mining is able to depict the process flow as it is from the data obtained (data-driven) and compare it with the design defined by the organization.
This way we can detect errors, redundancies, bottlenecks…
By obtaining real-time data we can measure process speed, errors, redundancies and bottlenecks by calculating specific KPIs.
We can measure the automation ratio, the % of late deliveries, the average duration of the process…
All these systems leave a digital footprint that is the starting point of Process Mining.
By having real-time data, we can automate action mechanisms using Artificial Intelligence and Machine Learning tools, in addition to harmonizing and redesigning the process to align it with the company’s objectives.
This way we can detect errors, redundancies, bottlenecks…
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