Practice Head ServiceNow
July 8, 2025
What is process Mining?
Process mining is a unique and powerful tool that allows businesses to mine log data from their information systems to better understand the performance of different processes. This allows them to improve those processes through data-backed decision making. Using this and other IT implementations, you can be more intentional with your structure and make every workflow as seamless as possible.
What are key features of process mining?
Process mining uses the following features to extract information from event logs so that your business can map that information:
- Automated process discovery: ensures that process discovery happens automatically so that extracting process models from an event log happens efficiently.
- Conformance checking: monitors deviations by comparing the process model and logs.
- Social network/organizational mining: finds patterns and relationships between events within your network/organization structures to improve techniques.
- Automated construction of simulation models: uses automated simulation models to predict how future trends or changes will impact your processes.
- Model extension: allows for flexibility when it comes to existing models being extended or enhanced when new information is discovered.
- Model repair: filters out deviant behaviours in the model using conformance checking.
- Case prediction: anticipates outcomes for cases based on key performance indicators and using previously performed sequences.
- History-based recommendations: offers recommendations using collections of data and past event logs.
Why is process mining important?
In the modern workforce, business leaders cannot afford to lose any ground when it comes to digital innovation and improvement. Process mining is becoming an essential business step since the data it collects will help identify trends, optimize performance, and make useful predictions for the future It can assist in shortening the duration of some processes, reduce costs and lower investment levels, remove waste, and enhance the overall quality of operations, hence making your company much more competitive. By reducing costs and eliminating inefficiencies in their operations using data-driven evidence, leaders can make confident, objective decisions about budgets and resources. Ultimately, you cut out the guesswork or subjectivity of human experience and make improvements using fact-based information.
What are process mining use cases?
Companies that use any repeated digital process can benefit from process mining, and even those that don’t currently use such processes will likely embrace the age of digital transformation to keep up with competitors. That said, practically every industry can use process mining to optimize their operations. Here are a few examples.
1. Finance
Whether you are trying to make your loan application process more efficient or more secure, data mining helps you respond faster to vulnerabilities when it comes to confidential information and discover where both customers and employees run into bottlenecks. It also helps audit accounts, broaden your customer base, and more.
2. Software Development
It’s possible to optimize the DevOps pipelines, keep data moving where it needs to go, and deliver high-quality software using process mining. It is especially useful for creating a clearly documented process so that IT administrators can ensure their systems and workflows are running smoothly.
3. Healthcare
By optimizing processes and data flow, you can also expect reduced treatment processing time for patients in the healthcare field.
4. E-commerce
If you want more buyer behavior insights to better understand the tendencies of your customer base, data mining can help you find those patterns and increase sales.
5. Education
You can more closely monitor and understand student behaviors and performance using data monitoring and adjust courses and classroom practices in response.
6. Auditing
Compliance is one of the biggest challenges when it comes to running your business, and data mining can help maintain software compliance by catching damaging deviations.
7. Logistics
Data mining helps keep the supply chain up and running using techniques that process thousands of data points from warehouses and find trends in warehouse performance.
How does process mining work?
To really understand it, one must first understand event logs. As a fundamental element of IT, event log data is generated every time an IT function is performed; in essence, this data is the primary way that interactions between humans and bots are documented.
An event log can be any number of actions or occurrences that happen within a software system, and each log notes certain information such as when the event occurred, what happened, and the process it took to complete or perform that action. This could be a support ticket a customer opened that must now be processed or processing a recent online loan application. Whatever the event, process mining puts those event logs through an analysis that essentially takes a snapshot of a system’s functionality in real-time.
By exposing the bottlenecks in your workflows using these “screenshots” of your systems, process mining makes digital transformation and automation in your business work. Here is a closer look at the step of process mining.
1. Data ingestion
When business interactions or objects move through your business process within a system, they leave a trail of breadcrumbs that we call a digital footprint. These events are picked up by process mining technology that visually reconstructs the event logs so that users can better understand what happens from beginning to end.
2. Discovery
When the data is accurately collected and reconstructed visually, something called a digital twin is created, an interactive map of the chronological sequence of events. This map details all the paths an event took for the process to be completed; each path is called a variant, and when variants differ from the standard path, they are called deviants.
3. Analytics
Your findings of the process map make finding issues or hiccups much simpler so that you can discover the best workflow based on the process map. Where are the bottlenecks? Where are resources overloaded? Are there activities that are often skipped or that create deviations? The process map helps quantify the root causes of inefficiencies that are impacting your cycle time, operational cost, and your bottom line.
4. Benchmarking
Process benchmarking can also be applied to benchmark process performance across two different dimensions, e.g., by directly comparing the time it takes for a purchase order to be processed from two suppliers. This can help you make your operations more uniform or find best practices for specific locations, departments, etc.
5. Conformance checking
Finally, you can use conformance checking to help define your preferred path for certain processes and then see where processes are deviating. This is how you see the percentage of events that follow your desired process and those that don’t so that you can make improvements and optimize those processes.
What are the benefits of process mining?
There are many niche benefits of process mining, including how it transforms your operations to be more powerful and productive than ever before. Other benefits include the following:
1. Push-button discovery
You don’t have to spend extensive time trying to find anomalies or insights; with a push of a button, you can mine a process from an audit log, use filters, and get an email notification when the mining is complete.
2. Process visualization
Event logs and variants can be difficult to understand, but with the right tools, you can use interactive process graphs, inspect specific paths in detail, and use prebuilt metrics for performance analysis.
3. Easy collaboration and sharing
Because process mining is such a visual process, it is simple to share data findings, collaborate using process maps, and enable governance and profile control based on certain roles.
4. Built-in continual optimization
Most process mining software has integrated improvement management technology that tracks existing and new improvement initiatives and the business value of process improvements.
5. Integrate with performance analytics and benchmarks
To really put your process mining findings into action, you can integrate performance analytics metrics and set certain benchmarks that help track business value achievements based on specific improvement initiatives.
Conclusion
Process mining serves as a powerful bridge between raw data and strategic decision-making. By turning complex event logs into visual, actionable insights, it empowers organizations to uncover inefficiencies, streamline operations, and continuously optimize their processes. Whether you’re in finance, healthcare, education, or software development, the ability to analyze, benchmark, and improve workflows in real-time gives your business a competitive edge. As digital transformation accelerates, adopting process mining isn’t just beneficial—it’s essential for driving operational excellence and data-driven innovation.
Author
Muhammad Ovais
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