What is Process Mining?

O que é Process Mining

Process Mining is a new technique which the  main objective is to find out, track and improve real processes by extracting knowledge from available data in business softwares. 

Process Mining offers insights and solutions relating machine learning and data mining that ensures much more confidence to implement efficient processes.

The pillars of Process Mining

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To discover

Map a data-based process, identifying the true behavior of processes and their variability. 

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To monitor 

Check compliance by comparing the execution of processes with previously defined models, knowing deviations from the correct flow.

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To Optimize

From the identification of deviations and waste, promote continuous process improvement.

What is the difference between Process Mining vs Business Intelligence? 

The main difference between BI and Process Mining is in the level of analysis and results they produce, generating different types of insights.
BI aims to point out what are problems in a process, while Process Mining highlights the root cause of inefficiencies and the offenders of time and costs.

In other words, it does a great job of telling you what the problem is, but not pointing out the root cause and where the process has changed.

Meanwhile, the transparency that Process Mining brings to entire processes answers even more important questions, such as why it’s happening, revealing bottlenecks, rework and deviations.

Process Mining Tool UpFlux
UpFlux Process Mining Tool

Why Process Mining?

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Optimized Processes

Workflow understanding and transparency, which reduces time for continuous improvement efforts.

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Map processes automatically

Identify and eliminate bottlenecks or inefficient processes that must be automated.

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Team performance management

Simply analyze results across organizations, departments, teams and individuals.

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Cost reduction

Provides cost and waste reduction.

What is the relationship between Process Mining and Industry 4.0?

According to Gartner, Process Mining can be a decisive factor for a successful digital transformation of organizations.

That’s because the data collected from the information systems data acts as a support for the business processes by making it possible to monitor business processes regularly and then modify your business environments with greater excellence.

This fact is even more evident with a CNI survey, which points out that today, Industry 4.0 reaches 1.6% of the industries, and in a decade it will reach 21.8%.

What is a process? 

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A process is a series of activities or tasks in sequence with the aim of arriving at an end result that, in most cases, has a beginning and an end.
The purpose of a process is to define a flow of recurring activity so that a task is completed in the most effective way.
Some examples of business processes are: purchasing process (P2P), customer service, patient journey, payment order (O2C), etc.

Process Mining vs Data Mining  

Data mining is the process of analyzing large amount of data to find out patterns and trends. It can be used to guide the decision-making process in many companies. With data mining you can understand customer’s behaviors or identify quality issues as well. 
Process Mining, on the other hand, identifies the different paths that data takes in a management system,  understanding the end-to-end process and analyzing deviations. A Process Mining software is not just about process management, it extracts data from complex systems and uses it to identify patterns and bring a clear and efficient analysis. 

Where to use Process Mining?

Industries

Identify bottlenecks in your organization’s production and logistical flows, optimizing operational and reorganization efficiency.

driving lead time, increasing customer satisfaction.

Hospitals and Clinics

Monitor the patient journey and the efficiency of the established Care Lines and Protocols, increasing the patient experience and reducing variability.

Health Plan Operators

Discover patterns of non-compliances in medical bills, defining automatic release rules, allowing auditors to work on cases where it is really necessary.

Financial
Institution

Accelerate the processes of opening accounts, releasing credit, managing supplies and increasing productivity in shared service centers.

Laboratories

Acting to reduce the total diagnostic delivery time, optimizing the use of installed capacity, identifying points of improvement in the process from receiving the sample to the medical check-in.

Oncology Centers

Acting to reduce the total diagnostic delivery time, optimizing the use of installed capacity, identifying points of improvement in the process from receiving the sample to the medical check-in.

UpFlux

UpFlux: A primeira plataforma de Process Mining do Brasil

UpFlux technology contributes to operational excellence through analysis of real processes from data, identifying deviations, variability and waste, helping decision making to reduce costs and time.