Have you verified the effectiveness of the processes you plan to automate? RPA without AI, ML, and process mining can lead to efficient inefficiencies due to inadequate process understanding.
Maximize automation value and operational potential by beginning with appropriate processes, understanding exceptions, and consistently optimizing with RPA, AI, and process mining tools.
Intelligent automation, blending RPA with advanced tech like AI-based process mining, is vital for robust end-to-end processes. Explore 7 ways process mining enhances this automation’s value.
Discover your complete and unbiased end-to-end processes
1. Investigate interactive process-visualizations
Ensure alignment by visually mapping real-time processes automatically. The initial step in automation involves understanding variations and deviations in your processes. It’s crucial to involve stakeholders and establish a shared understanding. Process mining provides unbiased, detailed flowcharts, enabling data-driven decisions and collaboration to prioritize and automate effectively.
2. View all process exceptions and variations
Have you ever had RPA projects delayed because unexpected issues arose, even after mapping out the process? This happens a lot; PwC found RPA trials can take much longer than expected. The problem lies in how companies map their processes – often, they miss important details. These details are vital for automation to work well. Process mining helps by automatically finding all the variations in the process, showing the common or inefficient steps. It’s like getting the inside scoop from the source system, making automation much smoother.
3. Discover the most granular tasks
Certain process mining software offers detailed task-level insights, improving overall process understanding. This helps companies get a complete picture of their processes by capturing both IT system logs and manual actions, like clicks or desktop activities, between steps. For instance, QPR ProcessAnalyzer provides task recording, allowing precise process discovery at the granular task level. It can be integrated with RPA, low-code, or workflow platforms, enhancing process analysis.
4. Find root causes for process and automation problems
Wondering why your processes aren’t working as expected?
Certain advanced process mining tools offer Root Cause Analysis, pinpointing issues like bottlenecks and automation problems. With a click, it highlights these problems on flowcharts and ranks them by their impact on business outcomes. This helps you focus on the most critical areas for improvement.
Select the right process to automate and prioritize your automation roadmap
5. View a list of prioritized top automation opportunities
RPA is often promoted as the ultimate solution for corporate inefficiencies. However, as RPA matures, companies face challenges like high maintenance costs, malfunctioning bots, and unclear process changes.
Process mining ensures automation control, preventing unnecessary bot creation for minor tasks lacking clear business benefits. The automation opportunity scout offers a ranked list of optimal automation opportunities, helping you save time by focusing on the simplest and most developed processes.
Prove the value of automation with the click of a button
6. Benchmark automation levels
Wondering about your automation progress across different parts of the organization? Process mining provides these insights, aiding in finding best practices and guiding your automation efforts.
For instance, the diagram below illustrates the automation rates of the same process in various countries. Green boxes indicate well-automated steps, while red boxes highlight mostly manual ones.
7. Calculate the ROI of automation
Process mining supports automation initiatives by validating their business viability. It allows you to assess the impact of automation plans and estimate ROI before implementation. This, coupled with the automation opportunity scout, ensures successful automation.
Beyond these benefits, process mining aids in monitoring ongoing automation success, realizing its advantages, and predicting process and automation failures.