The importance of process mining for business automation

Jesse Meijers

As businesses strive to enhance efficiency and reduce costs, process mining has emerged as a crucial tool for achieving top-notch automation. But what exactly is process mining, and why is it so vital for business automation?

Understanding process mining

Process mining leverages advanced AI to analyze system logs and user activities. By doing so, it uncovers bottlenecks, inefficiencies, and areas ripe for improvement within workflows. Essentially, it provides a detailed map of your business processes, pinpointing where automation can have the most significant impact.

Recently listed among top automation trends, process mining plays multiple roles in business automation:

  1. Identifying automation opportunities. Process mining tools sift through vast amounts of data to reveal how processes actually work. This data-driven approach ensures that you're automating the right processes, not just the obvious ones.

According to a Deloitte survey, 82% of executives believe process mining drives better automation outcomes. This statistic underscores the importance of using process mining to inform your automation strategy.

  1. Enhancing process efficiency. By highlighting inefficiencies, process mining allows businesses to streamline workflows before automating them. This pre-automation step is crucial for maximizing the benefits of automation.
  1. Supporting continuous improvement. Once processes are automated, it's not enough to set them and forget them. Continuous monitoring and improvement are essential. Process mining provides the insights needed to keep automated processes running smoothly and efficiently over time.

The integration of automated testing

Alongside process mining, automated testing is another critical component of effective business automation. It ensures that the automations you deploy are functioning correctly and efficiently, both initially and over time.

Ensuring quality and reliability

Manual testing can be time-consuming and prone to errors. Automated testing, on the other hand, allows for rapid, thorough testing of automations before they go live. Automated testing also facilitates ongoing quality control, ensuring that automations continue to perform as expected even as business needs evolve.

Boosting productivity and durability

By quickly identifying and addressing issues, automated testing helps maintain the reliability and productivity of your automated processes. This leads to better outcomes and higher ROI on your automation investments.

Combining process mining and automated testing

When used together, process mining and automated testing create a powerful synergy that drives automation success. Process mining identifies the best opportunities for automation and highlights areas for improvement, while automated testing ensures that these automations are robust and effective.

Conclusion

Incorporating process mining and automated testing into your business automation strategy is essential for achieving optimal results. These tools provide the insights and quality control needed to ensure that your automation efforts are targeted, efficient, and continuously improving.  

For more insights and practical tips on business process automation, explore Triggre's resources on the business process automation cycle and the Quick Scan tool.

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