The 7 steps of Process Mining
In process mining, the initial step involves gathering data from event logs generated by systems like ERP, BPMS, CRM, HR, or ITSM. Process mining tools simplify this process by using pre-built connectors for systems such as SAP, Oracle, Salesforce, and Microsoft Dynamics. As a new user, you don’t need to handle this setup; we assist you, enabling you to concentrate on enhancing your processes.
After data collection, preprocessing is crucial. It involves cleaning, removing inconsistencies, and transforming data for process mining analysis. At QPR Software, our experts handle this task, ensuring your data is ready for analysis.
Analyze and drill down to root causes
Once the process is discovered, analyze it using diverse metrics and techniques. Measure indicators like lead time and process efficiency, pinpointing areas for improvement. Root Cause Analysis uncovers issues like bottlenecks and rework, ranking them by impact, aiding prioritization for enhanced business operations.
Following data collection, process mining software unveils your real-life process. Experience automatic visualizations of your current processes, exploring detailed variations and high-level trends effortlessly.
Optimize your processes
Upon analysis, you can enhance processes using various improvement methodologies. Optimization boosts performance, cuts costs, and enhances efficiency significantly.
See a prioritization of automation candidates
After optimizing processes, process mining identifies automation candidates in priority. Evaluate ROI, automate strategically, and scale initiatives effortlessly.
Predict KPI Performance and prevent problems
In business, change is constant. Continuously monitor and predict your KPIs and assess strategic goals with process mining. Instant, dynamic reports save time by eliminating manual report building.