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Process Mining in 10 minutes with R

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Process Mining makes process analysis relevant again. Instead of relying solely on workshops, interviews, or outdated process documents Process Mining makes use of data that is generated in your business systems. It can automatically generate actual process models with frequencies and performance measures. Moreover, discovered process models let you easily identify any compliance issues at once. If, and only if, data is available.

In this article I show you how to get started with Process Mining using R.

Process Mining

Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Moreover, it is possible to use process mining to monitor deviations. [1]

Mined process example with bupaR

Tooling — bupaR

Currently, there are a number of tools available to perform Process Mining [2]. One open source tool is bupaR [3] that allows to use process mining capabilities…

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