Process mining is the generic term for the practice of analyzing large volumes of data to find patterns, discover trends and obtain insights for future use. By combining all these items, it is possible to understand how internal processes are performing, identify procedural bottlenecks and areas in need of improvement. This facilitates the strategic implementation of changes in the organization.

ARE PROCESS MINING AND DATA MINING THE SAME THING?

Data mining is the broad generic term used to analyze all data sets, but it can also include improving external opportunities outside the business, such as improving sales or the attractiveness of potential customers.

Process mining, on the other hand, is an internal action that improves the business from the inside, by observing the processes and their data, providing a diagnosis and possibilities for improvement, impacting on a higher quality delivery for the client, as well as bringing more efficiency to the company. This is done through three pillars: process discovery, compliance verification and performance analysis and continuous improvement. In other words:

- Process discovery: this is the starting point of the project. It is at this stage that various pieces of information are extracted in order to understand and discover any processes;
- Compliance check: it's time to see how the process works in practice, to ensure that it is being applied correctly, without any deviations;
- Performance analysis and continuous improvement: in this stage, the process will be evaluated to understand if any kind of improvement is needed, so that the existing process can be improved.

WHAT ARE THE BENEFITS OF PROCESS MINING?
Process mining offers several benefits for companies that adopt this methodology. Check it out:

Futuristic vision
Greater predictability of things that are working or not in the processes, allowing agility to make improvements.

Cost reduction
Identify and eliminate deviations, bottlenecks and inefficient processes that should be analyzed or automated.

Fast, accurate and very cost-effective
Process mining can be carried out using various existing software systems (including those you already use on a daily basis). So there is no need for other investments.

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