Optimize data-driven business processes with process mining
Dynamic markets, intense competition, changing customer requirements: efficient processes are more important than ever before for corporate success. With process mining solutions, you can identify inefficiencies early on and continuously improve your processes. Take advantage of our data performance expertise: turn your business processes into powerful drivers of success that optimally prepare you for future challenges.
Process mining with INFOMOTION – what you can expect
Automated process mapping
We help you gain insight into your business processes with just the push of a button. This ensures you record data quickly and precisely, and helps you keep an overview at all times.
Fact-based process analyses
We create data-based maps of your current processes to help us precisely identify potential improvements and systematically increase process efficiency.
Improved compliance
We ensure reliable compliance with statutory regulations and regulatory standards, and offer a robust foundation for compliance management with continuous monitoring.
Better process efficiency
We use predictive and prescriptive analytics to identify inefficiencies, optimize bottlenecks and reduce the percentage of repetitive tasks.
Improved process quality
By using task mining and advanced process analysis, we shorten lead times, increase automation rates and reduce rework.
Reduced process costs
We calculate the business value of your processes based on facts, and not only reduce working capital but also promote the efficient use of resources.
Why choose Process Mining with INFOMOTION?
- Provider-independent advising, so you truly receive the best solution for your specific needs.
- Thanks to our process mining experience gained from over 500 customer projects, we offer deep and broad expertise in process optimization.
- Comprehensive service, so you receive not only new applications, but a measurable performance boost.
- Proven methods and modern technologies united into one unique methodologies that combines classic approaches like Six Sigma and Lean Management with innovative data management and machine learning technologies.
- Interdisciplinary approaches in change management and pedagogy, with elements of storytelling, pedagogy and social psychology to make change management processes more effective.
- Technological expertise, with a deep understanding of source systems, data architectures and data visualization allow us to navigate through complex data landscapes and extract insights leading to smarter and faster decisions.