Process Mining & Data Science
Today I signed up for a Coursera course: Process Mining - data science in action.
https://www.coursera.org/course/procmin
It has a very interesting view point where the process mines the data to reconstruct the model. For many years I have been working on creating model, building the application and then looking at the
logs for testing or troubleshooting purpose only. The process mining goes the opposite route.
In the IT support world, this process can be very useful for shared application support teams. Typically application support team is not involved in the design stage, and the team doesn't know a lot about the application architecture and model but has to support it. The process mining can be a very helpful tool to provide some inside info of the application. Another typical usage is to support 3rd party software and applications.
In the business world, the usages are much wider and can really help to refine and optimize the business process.
https://www.coursera.org/course/procmin
It has a very interesting view point where the process mines the data to reconstruct the model. For many years I have been working on creating model, building the application and then looking at the
logs for testing or troubleshooting purpose only. The process mining goes the opposite route.
In the IT support world, this process can be very useful for shared application support teams. Typically application support team is not involved in the design stage, and the team doesn't know a lot about the application architecture and model but has to support it. The process mining can be a very helpful tool to provide some inside info of the application. Another typical usage is to support 3rd party software and applications.
In the business world, the usages are much wider and can really help to refine and optimize the business process.
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