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What Is Process Mining?



What Is Process Mining?

Process Mining – Definition, opportunities, and challenges for companies

To remain competitive in today’s data-driven market, firms need flexible processes. One becomes flexible with an in-depth understanding of how things function and where the significant obstacles are.

Developing a plan is the first step in utilizing these insights for your firm.
Many businesses now understand that they can utilize process mining to boost workflow effectiveness, increase decision-making, and gain a competitive edge. But putting a process mining project into action takes time and effort.

The correct goal must be established, the infrastructure needs, such as those for tools, systems, and data sets, must be satisfied, and the inherent problems, such as gaining commitment, reinventing processes, and altering organizational behavior, must be addressed.

Let’s have a look at ‘what is process mining’ before we discuss at length the opportunities and challenges of Process Mining.

What is process mining?

Using event logs that have been extracted from databases, information systems, or business management software like enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc., a set of techniques is called process mining.

It can be used to analyze operational processes. Simply put, it involves learning how the procedures are carried out to identify issues and potential improvement areas.

Another way to think of process mining is as a component of business process management (BPM) that uses data science (with its data mining and machine learning approaches) to delve into a company’s software records and understand its processes’ performance, and support optimization efforts.


Make occult procedures apparent

Numerous people participate in processes that are also assisted by IT technologies. Nobody can, therefore, truly “see” things in their totality.

These processes are made visible through process mining, revealing what is happening. Any improvement must start with this because you can only improve what you can “see” and measure.

Offer a neutral starting point for dialogue

Too many choices are made solely based on intuition and personal preferences.

This may result in political circumstances that even stand a standstill when no decisions are made (because people disagree about the problem).

Such talks can be rational and peaceful by using process mining to establish the facts.

Increase the pace of improvement efforts

Process improvement is achieved using BPM, Lean, and Six Sigma methodologies.

Understanding the current process serves as the foundation for various improvement projects. This takes a lot of time and is frequently done manually.

Instead of spending a lot of effort figuring out “What are we actually doing?” the process improvement professionals can engage the stakeholders on an entirely new level by asking, “Why are we doing it this way?”

Audit assurance should be raised

When conducting an audit of a process today, auditors frequently sample cases. They evaluate the procedure’s overall compliance based on these samples.

Auditors can strengthen the certainty of their audits by using process mining to establish their audits on the entire population (100 percent of the data).

Give data scientists a perspective on the process. Data scientists execute complex studies on data for various use cases using various methodologies, including statistics and machine learning.

Nevertheless, these methods need to capture the process perspective fully.

A new tool for data analysts is process mining, which can offer a process view to, for instance, visualize and evaluate client journeys.


Being aware of what process mining can and cannot accomplish

Process mining is a buzzword in some circles. This enthusiasm may help spread awareness of the issue.

Still, it may make it challenging for those unfamiliar with process mining to comprehend what they can and cannot accomplish with a process mining tool.

Furthermore, because they concentrate on various use cases, the process mining tools available on the market are highly different. Organizations must first consider their use case to determine what they require.

Getting the data ready

When beginning to explore process mining data, one of the first realizations is frequently that there are issues with data quality.

Because the data is commonly used for other studies, this insight is already significant in and of itself.

However, the business must overcome the challenge of dealing with these data issues.

It can take some time to extract and prepare the data at first, but it becomes more straightforward with practice.

Locating the organization’s ideal location for process mining

Someone for process mining must perform the analysis. Additionally, action must be taken based on those insights to reap the benefits that process mining may offer (for example, improve the process). Who within the organization will develop this expertise?

It could be an auditor, a process analyst in a specific department, or a central process excellence team. Nevertheless, whoever it may be, process mining must be incorporated into their method of operation.

Creating a collaborative culture

People who don’t feel secure that the results won’t be used against them or who need to comprehend the analyses fully and why can feel threatened by process mining.

Including others in the process is crucial for fostering acceptance of the outcomes and gathering feedback.

Developing a respectful work environment and open communication about what is done and why is vital. Data privacy laws and procedures must also be respected.

Continue to do it

Getting process mining to “stick” in the organization might be difficult. It would be unfortunate to stop process mining after putting time and effort into it, especially as new projects will get easier and provide more benefits over time.

Companies must ensure that their entire team has established their process mining expertise rather than relying solely on a single person who may depart at any time.

Additionally, if outside consultants are employed, they must convey their knowledge before the project’s conclusion.

End Note

Process mining offers significant potential for businesses looking to streamline operations, boost productivity, and uncover pertinent information.

They must quickly switch from conventional strategies to data-driven automated models to collect them. In various industries, prosperous businesses are prioritizing this transformation.

They are methodically putting money into skills and abilities to learn and use them efficiently.

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