While RPA helps businesses solve automation problems, Process Mining ensures the smooth operation of the RPA project. With RPA and Process Mining synergy, businesses are becoming more proactive in approaching Hyperautomation – a radical solution that creates a comprehensive automation process, helping businesses maximize operational efficiency, save costs, and achieve competitive advantages. So what are RPA and Process Mining, and why have they considered a perfect match in process automation? The article below will provide more details on the topic.
Table of Contents
Overview of RPA and Process Mining
Robotic Process Automation (RPA) is a software technology that allows bots to simulate and automate repetitive human actions. It is often implemented in back-office and repetitive business processes to help eliminate errors, improve operational efficiency, and motivate the workforce to focus on complex tasks that bring more value to the businesses.
Bots can work quickly and accurately 24/7. (Source: smartrpa.asia)
Process Mining is a solution to analyze, discover, monitor, and track real processes. Through the mining of data from the existing system of the businesses, Process Mining reveals a comprehensive, accurate, and in-depth picture of the process. This technology highlights inadequacies and bottlenecks in the process that need to be prioritized for improvement. From this knowledge and understanding, businesses can implement a more effective strategy and reduce risks.
How Process Mining works. (Source: compact.nl)
RPA and Process Mining: The Match in Heaven
RPA, when combined with Process Mining, can increase processing speed by up to 54% and drive value by more than 44%. This proves that Process Mining is the key to promoting RPA, creating smooth automation processes, and limiting disruptions in the deployment process.
Process Mining provides insight into processes and improves automation in the enterprise. (Source: rpatraining.nl)
Process Mining reveals the automation flow for RPA
By analyzing and extracting data from Event logs, Process Mining helps to create automation flow and visualizes how the actual business process works, who needs to participate, and how much time it takes. This is considered a discovery step to generate ideas for process improvement or model expansion. As a result, Process Mining becomes an essential step before starting the automation journey.
For the Hyperautomation flow, Process Mining plays the role of pointing out the connection points between the automation processes, thereby building a comprehensive automation process throughout the enterprise.
Process Mining uncovers where automation delivers the most value
“Automation applied to an efficient operation will magnify the efficiency. Automation applied to an inefficient operation will magnify the inefficiency.”
-Bill Gates.
This famous quote from Bill Gates has been demonstrated in business automation processes. To increase the success of process automation, businesses need to minimize changes in business processes before implementing RPA. This means that process variation must be standardized to minimize unnecessary steps in the automation process. Process Mining with its ability to discover processes and tasks can detect repetitive tasks, thereby revealing potential automation opportunities for businesses.
Besides, many businesses often do not have a comprehensive plan to discover and learn processes. Instead, they tend to embark on automating low-performing tasks but small, discrete tasks. This makes the automation process in the enterprise challenging to deploy and expand in the long term. However, with deep mining into repetitive processes and tasks, Process Mining can evaluate the quality of the process, helping businesses adjust and improve the current process, expand the scope of automation, and move towards more efficient and sustainable Hyperautomation.
Process Mining allows continuous monitoring of the results that RPA generates
Process Mining is installed on the computer, continuously measuring and managing automation results by comparing them with an event log of the same process. This helps businesses promptly detect variations that need improvement and, at the same time, determine the direction of the automation process and make specific predictions for the future.
The synergy of Process Mining and RPA can bring significant benefits to businesses. (Source: wpengine.netdna-ssl.com)
Top 3 case studies of Process Mining in process automation
Process Mining can be applied in several industries to enhance operational efficiency.
Technology
Siemens has integrated Process Mining into many business processes, from purchasing to production, order processing, and customer shipping. The company can observe and monitor manual and inefficient processes, thereby making plans to eliminate deviations in the process and recommend automation opportunities to improve efficiency. As a result, Siemens has increased automation rates by 24%, cut costs, improved quality, and enhanced response times.
Banking – Finance
Piraeus Bank has implemented Process Mining into its automation process to identify bottlenecks and processes that need automation for maximum efficiency. As a result, the bank’s loan application process is reduced from 35 minutes to 5 minutes, resulting in a positive customer experience.
Manufacturing
Voestalpine has applied Process Mining to track huge volumes of steel data from factories, suppliers and partners. This technology solution allows businesses to find bottlenecks in the steel production process, gaps in orders and shipping. As a result, the company has gained a complete picture of all processes, from order entry, quotation, order confirmation, and build appropriate automation solutions to increase productivity and improve process quality. The result is an 85% improvement in reporting time and a 50% reduction in late orders.
According to Fortune Business Insights, the global Process Mining market is predicted to grow from $933 million in 2022 to $15,546 million in 2029, at a compound annual growth rate (CAGR) of 49.5%. It can be seen that the implementation of Process Mining in process automation is essential to promote the automation capabilities of RPA, and at the same time, help businesses have an actionable and strategic insight to improve efficiency and expand towards Hyperautomation.
akaBot is a pioneer in providing Hyperautomation solutions in Vietnam, capable of integrating Process Mining with RPA’s core technology to bring businesses a comprehensive process automation solution. The recent partnership of akaBot and Soroco, the leading Process Mining solution provider headquartered in the US, is our strong commitment to deliver comprehensive automation solutions of world-class quality to clients. Explore our solution now!
References
RPA Vs. Process Mining: What Companies Should Know
4 Steps of RPA Implementation with Process Mining
Process Mining and Robotic Process Automation: A Perfect Match
akaBot (FPT) is the operation optimization solution for enterprises based on RPA (Robotic Process Automation) platform combined with Process Mining, OCR, Intelligent Document Processing, Machine Learning, Conversational AI, etc. Serving clients in 20+ countries, across 08 domains such as Banking & Finances, Retails, IT Services, Manufacturing, Logistics…, akaBot is featured by Gartner Peer Insights, G2, and ranked as Top 6 Global RPA Platform by Software Reviews. akaBot also won the prestigious Stevie Award, The Asian Banker Award 2021, etc.
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