How Process Mining Can Help Your Business

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If you work as a process manager, a data science team member, or in the IT department, you must have heard about process mining. Being an efficient and responsible professional, you must have asked, “How can process mining add value to my organization or me?”

The answer to this question would vary depending upon your role in the company. But, it is guaranteed to convince you that process mining is rightfully valued by consultants and companies dealing with data.

So, let’s dig in to find that answer and study five ways process mining can help you, your colleagues, or the overall business you work in.

Upgrading process improvement teams.

Typical process improvement teams act as a central team and help other business departments. All companies have their terms for naming such groups, including Process Performance Management, Process Excellence, or Operational Excellence.

These teams use Lean Six Sigma methods in their improvement plans and are favorably positioned to integrate process mining tools with this approach. For example, using software like Apromore can help them analyze the actual processes based on data, rather than manually inspecting workshops and interviewing team members.

That means besides making your analysis faster and deeper, it also saves precious hours for your process manager and other stakeholders as they don’t have to explain anything. You can see the whole process through data and easily raise your concern with them.

Analyzing big data efficiently

Data has become the most prized and coveted asset today, and organizations have started to assemble skilled data science teams to make sharper decisions.

These data science teams are well versed in programming languages, networking tools, and data mining tools. However, 80% of their work involves processing and filtering huge data, and none of the existing mining or visualization tools has been able to fill that gap.

That is why data scientists are starting to adopt process mining as it can uncover the actual end-to-end processes, which allows them to work much faster. Process mining tools have even erased the need to write queries in programming languages and instead allow direct importing and filtering of data. Isn’t that amazing?

Furthermore, what needed to be shown in charts and statistics (and mostly seemed abstract) can now be a meaningful visual representation of the entire process. This allows smooth communication between the data team and the process manager.

Making the process manager’s job easy.

Process managers are responsible for a specific process in the organization. Unlike process improvement teams, they don’t work with different departments; instead, they focus on their own process and repeatedly analyze it for constant improvement.

This continuous practice makes them well equipped with the knowledge to interpret data and the process efficiently and thus well-placed to adopt process mining.

Also, process mining tools bring transparency to process managers and show them what is going on in their process, making their analysis highly effective. For example, once they have completed a process mining analysis, they can easily repeat it to see whether the improvements have functioned as they anticipated or not.

This is one of the biggest reasons process managers talk about process mining so much.

Helping understand customer experience better.

One of the most interesting applications for process mining is for the system developers in the IT department. These guys are most concerned about the efficiency and effectiveness of their systems (apps or websites) as it is challenging to gather information about the user experience from the back-end.

That is why organizations have started to analyze the customer’s journey by combining click-stream data from their apps and websites with data from other customer interaction channels. Process mining makes it easier and quicker to analyze this data and ultimately helps the IT guys to improve customer experience.

Enabling consultants to ace projects.

Process mining fits perfectly into consultancy projects where understanding the current or “as is” state of processes is essential.

A typical example of process mining for consultants is in process improvement projects. Some companies don’t have an internal team working with the business unit, and they hire an outside expert or a consultant for the job.

The consultant would play the same role as a Process Improvement Team does, only that he works independently and knows how to perform analysis through process mining. On top of that, a consultant adds value by bringing his unique perspective and experience of working with different clients.

And that’s a wrap. These are just a few applications of process mining. There are many others, and process mining is rapidly changing how data is processed and analyzed in industries.

 

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Aaron Zeisler is the Vice President of Professional Services at Revitas, Inc., a provider of enterprise contract lifecycle management and channel management solutions. Aaron has been with Revitas since 1999 and has worked in professional services in a number of roles. Before joining Revitas, he was a Manager of Information Technology for F.L Putnam Investments. He has a BS in mathematics and computer science from the University of Maine.

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