Generalized approach to business process estimation based on Process Mining technology

In the article a method of estimating business process for a telecommunication company is proposed. The method is based on process mining technology, which allows to identify ineffective operations using logged data. The article reviews the basic steps of estimating a technological process: creating the model of the process and the reference model, testing the model, formalizing the requirements and performing quality estimation. Identification is performed by the decision tree, which is built automatically using machine learning methods. It is shown that the new method allows to decrease the amount of diagnostic operations needed for analyzing a technological process.