Areas impacted: Logistics, Sales, Marketing, Service, Manufacturing
Example application:
Insight into production times, wait times, Work-In-Progress (WIP) inventory
Resource reallocation such as machines or workers
Application: Identify effective course curriculums
Evaluation metrics:
Student performance and behaviors (participation, grades, evaluations)
Improvement areas:
IT administration (system uptime, performance, upgrades)
Applications for financial institutions:
Improve financial reporting
Enhance inter-organizational processes
Audit accounts
Increase income and broaden customer base
Streamlining:
Invoice processes for public works projects involving multiple stakeholders
Recommendations:
Reduce treatment processing time of patients
Insights provided:
Buyer behaviors and accurate recommendations to increase sales
Focus: Ensure customers complete orders efficiently
Goal: Avoid complications in ordering process
Visibility:
Accelerates process times and boosts productivity, impacting bottom line
Bottleneck Identification:
Detects process aberrations and time-wasting issues
Up-to-date Monitoring:
Reduces risk by addressing emerging problems
Resource Management:
Prioritizes and directs resources based on quantified impacts of process gaps
Quick Value Delivery:
Easy implementation with a short time-to-value
Enhanced Return on Investment:
Maximizes investments in digital transformation initiatives
Improved Audits:
More efficient auditing processes
Insights: Key to successful implementation
Bottleneck Identification: Essential to improve processes
Performance Improvement: Continuous monitoring of results
Use of metrics to measure success and progress
Always seek ways to improve processes over time
Widespread Use: Process mining across various industries including healthcare, finance, supply chain, education, and e-commerce
Business Value: Process mining leads to increased business value through insights, bottleneck identification, and ongoing optimization.
Continuous Improvement: Emphasize the importance of continuous improvement in business processes through the use of process mining.