Turn hidden inefficiencies into measurable gains
Map, measure, and optimise every workflow across your business. PI surfaces the bottlenecks, inefficiencies, and automation opportunities your teams cannot see from inside the work.
Map, measure, and optimise every workflow across your business. PI surfaces the bottlenecks, inefficiencies, and automation opportunities your teams cannot see from inside the work.
30 high-impact processes across 7 business functions, ranked by pilot ROI.
Data sources, process owners, PI reveals, and break points for each process.
3–6× ROI within 90 days on the right pilot process. Average payback: 8 weeks.
30 high-impact processes across 7 business functions, ranked by pilot ROI.
Data sources, process owners, PI reveals, and break points for each process.
3–6× ROI within 90 days on the right pilot process. Average payback: 8 weeks.
Working with industry leaders to drive your success.
What is Process Mining?
Process mining is a data-driven technique that analyzes event logs from information systems to discover, monitor, and improve business processes. It transforms raw data into visual process models, enabling organizations to identify inefficiencies, bottlenecks, and optimization opportunities for enhanced productivity and strategic decision-making.
How does Process Mining work?
Process mining works by analyzing event data from information systems, such as ERP and CRM platforms. It extracts logs that contain timestamps, case IDs, and activities, transforming them into visual process models. This enables businesses to identify inefficiencies, monitor performance, and optimize workflows for better outcomes.
What are the benefits of Process Mining?
Process mining provides clear insights into business operations, enabling data-driven decision-making, streamlining workflows, reducing costs, and enhancing customer satisfaction. By continuously monitoring processes, organizations can achieve ongoing improvements and maintain a competitive edge.
What data is needed for Process Mining?
Process mining requires event log data from information systems, including timestamps, case IDs, and activities. The data must be accessible, uniform, complete, and comparable, especially if multiple sources are involved.
What processes can be analyzed with Process Mining?
Process mining can analyze a wide range of processes across various industries and functional areas, including purchase-to-pay, order-to-cash, contact centers, and more. The more automated the processes and the fewer manual tasks involved, the faster the process discovery.
Tell us which workflow is slowing you down. We’ll map it, measure it, and show you where to start.