Businesses rely on hundreds of processes every day, from processing customer orders and paying invoices to managing supply chains and responding to service requests. But how do you know whether those processes are actually working as intended? That’s where process mining comes in.

Process mining is a data-driven technique that helps organizations understand how their business processes really work. Instead of relying only on interviews, assumptions, or manually created process maps, process mining uses data from existing IT systems to create an evidence-based picture of what is happening.

What is Process Mining?

Process mining is a method of analyzing data generated by business systems to discover, monitor, and improve processes. Most business applications create digital records as work gets done. For example, an order management system might record when an order is created, approved, shipped, and completed. These records, often called event logs, provide the raw data that process mining uses.

Process mining software analyzes these events and reconstructs the actual paths that transactions, orders, invoices, or other cases follow through a process. The result is a visual representation of how the process works in reality, not simply how it was designed to work.

How Does Process Mining Work?

At a basic level, process mining typically involves three steps. First, event data is collected from systems such as ERP, CRM, workflow, or other enterprise applications. This data usually identifies a specific case, the activities performed, and when those activities occurred.

Next, process mining technology analyzes the event data to discover patterns and reconstruct the different process paths. Finally, teams can use these insights to identify inefficiencies, bottlenecks, deviations, and opportunities for improvement.

For example, a company might believe its purchase-to-pay process follows five standard steps. Process mining could reveal that certain invoices require additional approvals, frequently get sent back for corrections, or spend days waiting between activities.

What Are the Benefits of Process Mining?

One of the biggest benefits of process mining is visibility. Organizations can gain a more objective understanding of processes that may otherwise be difficult to analyze.

Process mining can help businesses:

• Identify bottlenecks and unnecessary delays
• Discover process variations and exceptions
• Find repetitive or inefficient activities
• Monitor process performance
• Identify opportunities for automation
• Support compliance and process standardization
• Improve customer and employee experiences

Because process mining is based on actual system data, teams can make process improvement decisions using evidence rather than assumptions.

What Are Some Process Mining Use Cases?

There are many process mining use cases across different industries and business functions. Organizations may use process mining to improve order-to-cash, purchase-to-pay, accounts payable, customer service, supply chain, manufacturing, or IT service management processes.

For instance, a finance team could use process mining to understand why invoices are paid late. A supply chain team could investigate delays in order fulfillment. A customer service organization could analyze why certain requests take longer to resolve.

Getting Started With Process Mining

For organizations interested in getting started, the first step is usually identifying a business process with a clear problem or improvement opportunity. From there, teams can determine which systems contain the relevant event data and use a process mining platform to analyze the process.

Ultimately, process mining helps answer a simple question: How does our business actually operate?

By turning operational data into a clear view of real processes, process mining can give organizations the insights they need to reduce inefficiencies, improve performance, and make better-informed decisions.

Learn how HuLoop Productivity Discovery helps organizations gain visibility into how work gets done and uncover opportunities to improve productivity and performance.