Process intelligence is critical for process improvement, business understanding and organizational resilience. Process mining enables business leaders to discover and visualize the actual business processes and make data-driven decisions. In this comprehensive guide, we explain in detail benefits, application areas and best practices about process mining.
Executive Summary
Introduction
Benefits
Facilitate Automation
Have visibility and insights into existing processes
Identify the best processes to automate
Monitor and optimize RPA implementations during the project
Catch up with the changes by following up
General Business Benefits
Enable data-driven decision making
Standardize processes and streamline business outcomes
Improve performance management
Reduce costs by eliminating unnecessary steps
Improved Customer Experience
Reduce lead times
Reduce reaction time
Identify and resolve invisible process bottlenecks
Resolve inter-process conflicts
Digitized Compliance Management
Analyze audit data faster
Identify non-compliant processes in real-time
6 Steps to Choose a Process Mining
1. Consider your business area, processes and systems
Sector and department
Systems
2. Decide on the end goal and prioritize the tool components and architecture
Process discovery
Process conformance
3. Choose a tool that serves your specific business functions
Programming options
Data sources
Reporting and monitoring
Operational Support
4. Specify technical requirements of your business
Deployment options
Performance limitations
Authorization capabilities
5. Evaluate the ROICheck the cost of software and your budget
