Process improvement initiatives often concentrate on the current state of operations, using static data to make decisions.
However, with process mining, business data is continuously analyzed, allowing for more proactive decision-making. In simpler terms, process mining enables businesses to analyze their operations continuously, which leads to more proactive decision-making rather than relying on static data.
The real excitement in process mining lies not only in conducting the analysis but also in putting the actionable insights into action and continually seeking areas for improvement. In simpler terms, the real value of process mining comes not just from conducting the analysis but also from using the insights gained to make improvements and continually searching for further ways to enhance processes.
ACHIEVING PROCESS EXCELLENCE
Happy
Customer
Keep your customer promise
Example measures:
• On time in full
• Invoicing accuracy
Customer
satisfaction

Happy
Flow
Follow the agreed process
Example measures:
• First time right
• Lead time
Internal
efficiency

Happy
Automation
Automate individual steps and the whole end-to-end process
Example
measures:
• No touch rate
• Automation rate
Process
automation

Process
Excellence
Get it automatically right the first time
Example
measures:
•Perfect order
Increased
profits
Reference: The business leader’s guide to process mining