Process Mining: What is it in simple words

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Process Mining (PM; Russian: "deep process analysis") is a set of methodologies and tools aimed at researching and improving business operations by studying event logs in information systems.

Let's take a look at how these innovative technologies are helping businesses improve productivity in practice and why the field of process science is becoming increasingly relevant in today's business landscape.

Imagine you are a manager. A common venezuela mobile phone numbers database way to improve a business is to hire consultants who survey employees about how they are doing their processes. Then, based on best practices and industry insight, they suggest changes that, ideally, will be beneficial.

This approach was considered the only possible one for a long time. But with the development of technologies, new Process Mining tools have emerged that can revolutionize business process management.

Process Mining what is it in simple words

Source: shutterstock.com

However, the traditional approach has significant shortcomings that are successfully closed by Process Mining solutions. In large companies, it is physically impossible to interview all employees; something may be missed or intentionally hidden. And even if there are approved instructions, there is no guarantee that they are relevant, that the process options are fully covered, especially in rare cases. Process Mining companies develop software that helps overcome these limitations.

Therefore, traditional PM systems and BAM solutions (business activity monitoring) are not always effective - they require a reliable formal model of the process at the input. This implies the need to conduct interviews, create a model and detail the sequence of operations.

As a result, only basic procedures are usually documented, resulting in minor efficiency improvements, after which the project is considered completed despite its limited impact. Russian Process Mining systems also face these problems, but are actively developing innovative approaches to solve them.

In addition, even the created model is not eternal. Business changes, and processes follow it. A model that reflected 90% of the information yesterday may correspond to only 60% in six months. This creates a need for constant updating and adaptation of models, which is made possible by the Process Mining sphere.

This is where the idea of ​​automatic process model recovery comes from. However, this is not an easy task: the stages of procedures are not always linear, their order can change. Processes have branches, include cycles, such as, for example, iterations of documentation approval.

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