Explore The Wacky World Of Process Mining Software

Process mining is an analytical field that focuses on understanding, monitoring and optimizing the current state of business processes. Businesses can visualize their process data and acquire fact-based insights by extracting knowledge from process logs. We mean, most of your daily business activities and processes get logged somewhere – even if it’s just an Excel sheet!

Since these actionable insights are produced from the analysis of real-world data, they can be leveraged to audit, analyze, optimize and improve business processes easily. However, to make sense of the massive amount of data, businesses need dedicated software – presenting to you, Process Mining Software!

By the end of this blog, we’re sure you will realize this software is no mine-r deal – read on!
 

Let’s Understand Process Mining And The Role Of Process Mining Software

We already know that process mining refers to the extraction of useful information from event logs of business processes. Process Mining Software helps in the discovery, monitoring and improvement of processes by analyzing the extracted data from event logs. This software enables automated process discovery (extracting the process models from event logs), conformance checking (monitoring deviations by comparing ideal models with actual log data) and case prediction (using extracted data to predict outcomes for various scenarios).

Moreover, the software allows automated process monitoring, creation of simulations, history-based recommendations, etc. that allow businesses to evaluate the efficacy of processes and make required modifications. With the assistance of Machine Learning, Process Mining Software also provides proactive insights that facilitate instant data-driven decision-making, rather than conventional trial-and-error improvement strategies.

Yes, this is the new-age tool that every business needs – however, it hasn’t been around forever.

Evolution And Origin Of Process Mining Software

Once upon a time, mining was only for the dwarves – how else would they collect the magical fairy dust!


Then, in the 19th century, various researchers started working on standardizing and improving the manufacturing processes of the time. They aimed to streamline the processes based on understanding the process metrics so that they could reduce time and effort, resulting in improved production rates.

IBM introduced its database management system in the 1950s, paving the way for data warehousing and inevitably data mining. Initially, only information from IT systems was supplied to improve operations. However, data from business processes was then added to the mix, resulting in enterprise-wide data mining.

Later, based on research conducted in the 1990s, Professor Wil van der Aalst (also known as the Godfather of Process Mining) wrote "The Process Mining Manifesto" which stated that process mining approaches can extract knowledge from event logs and these approaches would enable new ways to discover, monitor and optimize processes in a range of application. As the research was only published by IEEE in 2011, process mining gained traction in the early 2010s and businesses started using it to get a thorough understanding of their processes.

Today, most enterprises use Process Mining Software to evaluate and understand the working of their processes. Yet, how does the software itself work?

How Does Process Mining Software Work?

Process Mining Software uses intelligent algorithms to analyze data from event logs. These logs aren't conventional files; they're separate database files that extract data from enterprise-wide systems, such as CRM or ERP platforms. The complete data is then displayed in a process flow to show the processes in real-time, allowing organizations to gain factual understanding of their daily events and activities.

This data visualization is quite helpful as it allows users to quickly filter processes, perform root cause analysis, view processes at various stages and follow the workflow from beginning to end. Some software even employs AI-based tools to assist businesses in analyzing process variations or determining what to focus on.

Essentially, it gives businesses a comprehensive view of their processes in real-time, including variations, bottlenecks and potential problem areas – what more do you need! Businesses may not need more but Process Mining Software provides a lot more benefits than you might think; here are some of them!
 

Benefits Of Process Mining Software

Here are some main benefits of implementing a Process Mining Software –
 

• Faster Automation

  By having a better understanding of business processes, IT teams and project managers can automate repetitive workflows with the help of Robotic Process Automation (RPA). 

• Easier Identification Of Issues

  Process Mining Software provides insights into the performance of existing workflows, which helps users discover areas that are underperforming and need to be improved.

• Better Visibility

  Using this software gives businesses complete visibility over their processes in real-time, allowing them to identify and fix process gaps.

• Adoption Of Data-Driven Decision-Making

  Another outcome of using this software is that top decision-makers adopt a data-driven strategy, since the insights reveal the health of processes and overall efficiency of the business.

• Quick Value Addition

  Process Mining Software adds value to the business ecosystem quickly as it is easy to implement and has a short time-to-value.

The only shortcoming of Process Mining Software is that it can’t be as cool as this miner!

(Extra points if you know the movie!)


However, the software will compensate in the coming years – read on!

What’s The Future Of Process Mining Software?

Research by Gartner shows that the process mining market will be over USD 1 billion by the end of 2022. This is because businesses want to enhance their current processes by implementing digital analysis techniques. To this end, Process Mining Software will become more interoperable and easily integrate with enterprise technology stacks.

Furthermore, Process Mining Software will need to evolve as enterprises will generate more data at a quicker rate. IoT adoption, for example, means that Process Mining Software will have to analyze data in real-time while the process is being performed. Process mining tools will also grow smarter as a result of Artificial Intelligence and Machine Learning, allowing businesses to detect and correct deviations in processes instantly. How cool would that be!
 

Conclusion

According to a survey conducted in 2020, businesses primarily deployed Process Mining Software for process improvement, process automation and digital transformation initiatives. We believe that every organization is focusing on at least one (if not all!) of these aspects and having a Process Mining Software will prove indispensable. Without it, you would have access to massive heaps of raw data but no way to identify or extract the shiny diamonds and emeralds inside!