📌 Process Performance Monitoring Summary

Process performance monitoring is the ongoing activity of checking how well a business process is working. It involves collecting data about each step in the process and comparing actual results against expected outcomes. This helps organisations identify bottlenecks, inefficiencies, or errors so they can make improvements and ensure processes run smoothly.

🙋🏻‍♂️ Explain Process Performance Monitoring Simply

Imagine a football coach watching a match and keeping track of how each player is performing. If someone is slowing down or missing passes, the coach notices and helps them improve. In process performance monitoring, you are like the coach, observing how each part of a business process is working and making changes to help the whole team do better.

📅 How Can it be used?

Process performance monitoring can help track how quickly customer service tickets are resolved in an IT support project.

🗺️ Real World Examples

A manufacturing company uses sensors and software to monitor how quickly products move through an assembly line. By analysing this data, they spot delays when machines need maintenance and can schedule repairs before major breakdowns occur, which keeps production on track.

A hospital tracks patient admission, treatment, and discharge times to monitor how efficiently patients move through different departments. By reviewing this data, the hospital identifies areas where patients wait too long and implements changes to improve care and reduce delays.

✅ FAQ

Process performance monitoring means regularly checking how well each part of a business process is working. It is important because it helps businesses spot problems like delays, mistakes, or wasted effort. By keeping an eye on how things are going, organisations can fix issues quickly and make sure everything runs as smoothly as possible.

By collecting data and comparing actual results to what was expected, process performance monitoring helps businesses see where things are not working as they should. This makes it easier to find and fix any bottlenecks or errors, leading to faster, more efficient processes and better results overall.

Process performance monitoring uses data such as how long each step takes, how often mistakes happen, and how closely the results match what was planned. This information gives a clear picture of where improvements can be made so the process runs more smoothly.

📚 Categories

• Automation Technologies
• Data Science
• Digital Transformation

🔗 External Reference Links

Process Performance Monitoring link

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