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What Is Process Mining?

What Is Process Mining?

Christiaan Esmeijer

Process Mining Definition

Process mining uses event logs from IT systems to automatically discover, visualize, and improve business processes. Unlike manual process mapping, it shows how work actually happens, revealing bottlenecks, deviations, and inefficiencies based on facts rather than assumptions.

What Is Process Mining?

Process mining software analyzes event logs to show how your business processes actually run. It reconstructs real process flows from digital records in your IT systems, including ERP platforms like SAP, CRM platforms like Salesforce, helpdesk tools, and other applications that record transactions. You can compare actual workflows with the ideal process, identify inefficiencies, and improve performance. Process mining solutions like ProcessMind make this easier. For a comparison, see our blog on the best process mining tools of 2026.

Wil van der Aalst, a pioneer of process mining, calls it an MRI for your business. It shows how your processes really run and exposes inefficiencies, bottlenecks, and opportunities to improve. That transparency makes process mining a foundation for digital transformation and continuous improvement. For more, see our strategic guide for data driven process improvement.

Imagine managing customer orders: every step, from receiving and approving an order to shipping it, leaves a digital record. Process mining connects these records to map the real journey of each order. Instead of relying on interviews or guesswork, you get a data driven diagram that shows every twist and detour. If your process were a hiking trail, process mining would draw the trail from footprints, not just the planned route. Sometimes the result is a messy squiggle that shows where you need to improve.

No geology or pickaxes required. The “mining” is digital, and the insights are real.

Try process mining with your own data

Upload a CSV or Excel file with your event log and ProcessMind will automatically discover your process, visualize it as a BPMN model, and highlight bottlenecks.

How Does Process Mining Work?

Process mining analyzes event logs from your IT systems. Most systems record every transaction or event, including three key elements: Case ID (order or ticket number), Timestamp (when each step happened), and Activity name (what was done). Process mining software ingests these event logs and reconstructs the sequence of activities for each case. By connecting all cases, the process mining algorithm generates a visual process diagram that shows every path your process can take, including rare exceptions and undocumented workarounds. Learn more about where to get data and which data formats you need.

ProcessMind event log to process flow diagram

Three Types of Process Mining

Process mining has three main types, each with a different purpose:

  1. Process Discovery is the most common type. Discovery algorithms automatically generate a process model from your event log data without requiring prior knowledge. You upload your data, and the process mining software shows how your process actually works. This is the starting point for most process mining projects.

  2. Conformance Checking compares the discovered process, or “as-is” model, with a reference, or “to-be” model, to detect deviations. It answers the question: “Are we following the prescribed process?” Conformance checking is essential for compliance audits, identifying policy violations, and measuring how closely reality matches the intended design.

  3. Process Enhancement, also called process extension, enriches an existing process model with additional data from event logs. Enhancement adds performance metrics such as bottleneck durations, wait times, and resource utilization to your process map. It turns a static process diagram into a dynamic performance dashboard.

Most process mining tools, including ProcessMind, support all three types. A typical project starts with discovery, uses conformance checking to validate the process against standards, and then applies enhancement to identify optimization opportunities.

It Feels Like Magic!

Turning data into visual diagrams can feel like magic, but the real value comes from the “aha!” moments when hidden insights become clear. That is what makes process mining a key tool for business process improvement.

Magic

Anyone Can Use Process Mining

Modern process mining tools like ProcessMind are mature and user friendly, making process improvement accessible to business users. Here are the 5 steps to get started with process mining:

The 5 Steps of Process Mining

ProcessMind data extraction icon: collecting event data for process mining

Data Extraction

Collect event data from your systems, such as every step in your order-to-cash process. An Excel file is fine.

ProcessMind process discovery icon: reconstructing as-is process flow

Process Discovery

Use process mining software to automatically reconstruct the “as-is” process flow by linking events through their case ID and time order.

ProcessMind conformance check icon: comparing discovered and expected process models

Conformance Check

Upload or create a BPMN model that shows how the process should work. The process mining tool compares the discovered process with the expected process.

ProcessMind insights and optimization icon: identifying process bottlenecks and improvements

Insights & Optimization

Use process dashboards to pinpoint bottlenecks, rework, and inefficiencies. Then start optimizing your business process.

ProcessMind monitoring icon: continuous process performance tracking

Monitoring

Process mining is not a one-time project. Monitor your process continuously and keep improving it.

Why You Should Care About Process Mining

Process mining is a proven technology that has helped organizations worldwide find significant value. Early process mining projects were limited to large enterprises, but process mining applications like ProcessMind now make process intelligence accessible to organizations of all sizes. You can gain these key benefits:

Transparency icon

Transparency & Insight
Process mining exposes blind spots in your workflows and shows where work goes right or wrong. No more guessing. You get hard evidence.

Efficiency gains icon

Efficiency Gains
Find inefficiencies, bottlenecks, and redundant steps. Simplify workflows to shorten cycle times and improve productivity.

Cost savings icon

Cost Savings
Efficiency gains reduce costs directly. Removing bottlenecks cuts overtime, eliminates rework, and improves resource use.

Perception vs. Reality in Your Processes

You may think you know how your processes run, but process mining often reveals a very different reality. See the real picture, not just the idealized version. Experience it yourself with our free trial.

Compliance icon

Improved Compliance & Quality
Process mining acts as a compliance auditor, highlighting skipped or out-of-order steps. This is crucial for regulated industries and organizations pursuing ISO certifications.

Customer experience icon

Better Customer Experience
When processes run smoothly, customers notice. Process mining helps you find friction points and improve satisfaction.

Data-driven culture icon

Data-Driven Culture:
Process mining supports data-driven decisions and brings IT and business teams together around the same facts.

The takeaway

Process mining turns hidden operational noise into clear, actionable insight. It moves organizations from guesswork to precision and reveals improvement opportunities that were previously invisible. Business process mining turns hidden data into actionable knowledge. It helps organizations become more efficient, cost-effective, and responsive. No wonder it is one of the fastest-growing trends in business process management.

The Good, the Bad, and the Ugly

Good, bad, and ugly visual

The Good

  • Process mining gives you an objective view. You see what is really happening, not just what people think is happening.
  • You can diagnose issues faster and with greater accuracy. Analyses that once took weeks can now take minutes.
  • Process mining applies to any process with structured data. In practice, that includes almost any process supported by IT systems.
  • Process dashboards make these insights available to business teams, not just data scientists.
ProcessMind Use Cases

See the real-world impact of BPM solutions across industries.
  • Garbage in, garbage out. Your analysis is only as reliable as your data.
  • Cleaning and preparing data takes effort. We work to simplify it, but data preparation is often the hardest part.
  • Process mining does not fix problems by itself. It shows you where issues exist, but you still need to resolve them.

We built ProcessMind to make process mining simple, affordable, and easy to set up. We used our years of experience to create something anyone can use.

Christiaan Esmeijer - CEO ProcessMind

The Bad

Complexity in data
  • Complex process maps can be overwhelming and require skill to interpret.
  • Manual steps and unlogged conversations will not appear, so process mining does not replace human knowledge. ProcessMind lets you add manual steps with the process designer. For more on BPMN, see What is BPMN?.
Essential Guide: Process Mining Challenges and Solutions

How to navigate the challenges of process mining and overcome them.
  • Some tools are expensive and require IT support to set up.
  • Misinterpreting data can lead to wrong conclusions. Always validate findings with people who know the process. Process mining is a discovery tool, not a panacea.
  • Using process mining as a Big Brother tool against employees creates fear and resistance. Transparency should improve processes, not blame people.
  • Starting without a plan can drown you in data. Define clear objectives and remember that process mining will not solve every problem by itself.

The Ugly

Confused people on the process

The takeaway

For successful process mining, use data insights, ensure good data and skilled interpretation, and avoid witch hunts or aimless projects.

How Not to Use Process Mining

Like any powerful tool, process mining can be used wisely or misused. To help you stay on track, here are common “don’ts” and what you should do instead when using process mining in your organization:

Don’t jump in without a clear goal.
No clear goal

Buying a business process mining tool will not automatically solve your process issues. It is a diagnostic aid, not a one-click solution. Think of it like a GPS: it shows the best route, but you still have to drive.

Dig into the results, discuss them with your team, and implement changes. The software may reveal that approvals are slow, but you must streamline the approval process or add resources.

Don’t assume it’s a magic wand
Magic wand myth
Don’t work in isolation. Work with clarity.
Siloed work

Don’t treat it as a one-time project.

Process mining supports continuous improvement. Keep monitoring your processes and make it part of ongoing operations.

Process mining is not about catching individuals doing something wrong. It is about improving the overall flow.

Make sure everyone understands this. Involve process owners and staff early. If the findings show that someone’s work takes longer, discuss what may be causing it. They may be handling 10 other tasks, or the system may be slowing them down. Use transparency to improve the process, not to assign blame.

Don’t neglect the people aspect.
Focus on process, not people
Don’t use poor-quality data.
Data quality

The takeaway

Avoid these “don’ts” and follow good practices: be intentional, collaborate, and use common sense.

How to Get Started

Ready to try process mining? Here is a simple roadmap:

ProcessMind educate icon: learning process mining basics and stakeholder alignment
Educate and Align

Make sure key stakeholders understand what process mining is and what it can do.

Share examples or case studies to get everyone on the same page. It helps to have a small core team or champion who is excited about the idea. This could be someone from process improvement, an IT analyst, or a business manager who wants to address a specific pain point.

Build some momentum:
“We have a new way to examine our process data. Let’s try it.”

ProcessMind select process icon: choosing a business process for mining
Select a Process (Start Small)

Choose one important but manageable process for your pilot. Good candidates have known issues or inefficiencies and readily available data. Your invoice approval process may have complaints about delays, or your customer support ticket process may be a black box.

Limit the scope to one business unit or product line rather than the entire global operation. Starting with a focused pilot helps you demonstrate value quickly.

ProcessMind gather and prepare data icon: collecting and cleaning event logs
Gather and Prepare Data

Extract data for the pilot process in the simplest way possible. Use Excel or csv exports from your systems to get started quickly. Involve IT if you need help accessing event logs or combining data from different sources.

Start with a smaller sample for initial runs, such as one month of data. Scale up once everything looks right.

Clean the data: standardize date formats, check that every event has a case ID, and so on. Data preparation is often the most tedious step, but it is essential.

ProcessMind choose tool icon: selecting process mining software and analysis
Mine your Data

Now the analysis begins: load your data and let the process mining software generate your first process model.

Validate the data in the process mining application and confirm that it looks correct, including the number of cases and time ranges. If it does not, adjust your data preparation and try again.

Explore the process mining diagram. Check the main flow, branches, time spent, and the number of cases that follow each path. Use filters or sliders to focus on specific variants, such as orders that took >30 days.

Look for bottlenecks and patterns. Maybe 30% of orders go through 3 extra approval steps, causing delays. Or Team A finishes faster than Team B. Why? Take notes. Most tools let you export diagrams or screenshots, which will be useful later.

ProcessMind interpret and plan improvements icon: turning insights into action
Interpret and Plan Improvements

Bring the team together to discuss what you found and validate the results. Include people who know the process well, such as managers and front-line staff, along with your analysts. “We see a lot of loops back to the ‘data correction’ step.” A team member might say, “That is because we send the form back when it is filled out incorrectly.”

Brainstorm solutions for the biggest issues. For example, “What if we added a checklist to reduce form errors up front?” or “Could Manager approval be bypassed for low-value orders to save time?”

Prioritize the improvements with the greatest impact. Define metrics such as “reduce average cycle time by 20%” so you know what success looks like.

ProcessMind implement, measure, and scale icon: executing and expanding process improvements
Implement, Measure, and Scale

Implement the planned changes in the real process.

Once the changes are in place, use process mining again to measure their impact. Did average processing time drop? Are there fewer loops or rework instances? You have now closed the process improvement loop using data.

With a successful pilot complete, consider scaling up. Tackle the next problem process or expand mining to other departments. Many organizations build on early success to create a broader process mining program, sometimes establishing a Center of Excellence to support it.

The takeaway

Getting started is a journey, but each step is manageable. Learn the basics, choose a target, get your data, mine it, analyze and act, then repeat. Start small and learn by doing.

Where ProcessMind Fits In

Start with ProcessMind

The takeaway

ProcessMind is a next-generation tool focused on simplicity and integration. It reduces technical hurdles, combines modeling with data, and supports action and collaboration. This makes process mining accessible to everyone. Try ProcessMind for free.

Process Mining Use Cases

Any business process that leaves a digital trail can be mined. These are the most common process mining use cases:

  • Order-to-Cash (O2C): Analyze the full order lifecycle, from customer order to payment receipt. Process mining reveals delays in order fulfillment, invoice processing, and payment collection.
  • Procure-to-Pay (P2P): Find inefficiencies in purchasing workflows, from requisition to supplier payment. Process mining uncovers maverick buying, late payments, and approval bottlenecks.
  • IT Service Management (ITSM): Mine service desk ticket data to identify slow resolution paths, unnecessary escalations, and SLA violations.
  • Customer Onboarding: Visualize how new customers move through onboarding and find where drop-offs or delays occur.
  • Claims Processing: Insurance and healthcare organizations use process mining to streamline claim handling and reduce cycle times.
  • Manufacturing & Supply Chain: Track production workflows and logistics to identify quality control issues, delays, and resource bottlenecks.

Process mining works with data from any system that records events: ERP systems such as SAP, Oracle, and Microsoft Dynamics; CRM platforms such as Salesforce and HubSpot; helpdesk tools such as ServiceNow and Zendesk; and custom applications. If your system records a timestamp, activity, and case ID, you can mine it.

Process Mining vs. Process Mapping

What is the difference between process mining and process mapping? They complement each other, but they work differently:

Process Mining Process Mapping
Data source Actual event log data from IT systems Interviews, workshops, documentation
Output Data-driven “as-is” model based on facts Idealized “to-be” model based on perceptions
Effort Minutes to hours (automated) Days to weeks (manual)
Accuracy Shows what actually happens Shows what people think happens
Coverage All process variants and exceptions Typically only the “happy path”
Bias Objective, data-driven Subject to human memory and organizational politics

Process mapping is useful for designing new processes, while process mining reveals what actually happens. The best results come from combining both: use process mining to discover the “as-is” process, then use process mapping or BPMN modeling to design the improved “to-be” process. ProcessMind supports both workflows on a single platform.

FAQ

Process mining is an analytical approach to discovering, monitoring, and improving real processes by extracting knowledge from event logs in IT systems.

An event log records events, such as transactions and actions, in an IT system and is commonly used for process mining. Each event usually includes a timestamp, an activity name, and a case identifier.

A Case ID is a unique identifier for an individual process instance. It lets you group events by the specific case they belong to.

A spaghetti diagram is an informal term for a tangled, complex process flow map with many variations and loops. You get one when a process has so many paths that the diagram lines cross like a bowl of spaghetti. It indicates complexity or a lack of standardization.

The happy path is the ideal, straight-through process flow with no deviations or exceptions. It is the scenario where everything goes right: no rework, delays, or special cases. In process mining, you can filter for the “happy path” to see the ideal case, then compare it with the other paths that occur.

BPMN stands for Business Process Model and Notation. It is a standardized graphical notation for drawing business processes with symbols such as rectangles for activities, diamonds for decisions, and arrows for flow. Process mining tools often produce diagrams that resemble BPMN models, and some, such as ProcessMind, let you import and export BPMN models.

Conformance checking is a process mining technique that compares the discovered process with a predefined reference model to identify discrepancies. It answers the question, “Are we following the prescribed process? If not, where do we deviate and why?” For example, if company policy requires two approvals for every invoice but the logs show that some invoices received only one, conformance checking flags the discrepancy.

A process model represents a process, often as a flowchart or diagram, showing its sequence of steps, decision points, and flows. In process mining, you get an “as-is” process model derived from data. You can compare it with a “to-be” process model designed by the business.

Process discovery is the phase, or type of process mining, that automatically generates a process model from event log data without prior knowledge of the process. It shows how the process actually flows based solely on the data. This is usually the first step in process mining and provides an initial view of reality.

ProcessMind is a next-generation process mining platform designed to make process improvement simple, affordable, and accessible. It combines process mining, modeling, and simulation in one cloud-based tool, so you can upload data, visualize processes, and drive improvements without technical expertise.

ProcessMind is built for ease of use, fast onboarding, and actionable insights. It offers instant access, no-code setup, and transparent pricing. With ProcessMind, you can quickly discover inefficiencies, monitor compliance, and optimize processes, whether you are a business user or process expert.

The timeline depends on the project scope and data readiness. A small pilot can deliver results in a few days to a couple of weeks, especially with modern tools like ProcessMind. Larger or more complex projects may take several weeks, mainly because of data preparation and stakeholder alignment.

Commonly mined processes include order-to-cash, procure-to-pay, invoice approvals, customer onboarding, supply chains, IT service management, and support ticket handling. You can analyze any process with digital event logs.

Process mining uses event logs from systems such as ERP platforms, including SAP and Oracle; CRM platforms, including Salesforce; helpdesk platforms, including ServiceNow and Zendesk; workflow tools; and custom business applications. Any system that records process steps with timestamps and case IDs can be a data source.

Finance, operations, procurement, customer service, IT, HR, and compliance departments use process mining wherever processes are tracked and improved. Both business and IT teams benefit from the insights.

Process mining is used across industries, including manufacturing, banking, insurance, healthcare, logistics, retail, and the public sector. Any organization with digital processes can benefit from process mining.

Process mining basics include extracting event data from IT systems, reconstructing actual process flows, and visualizing them to identify inefficiencies, bottlenecks, and improvement opportunities. You typically need three key data elements: case ID, activity name, and timestamp. The process includes discovery, conformance checking, and ongoing monitoring for continuous improvement. Advanced platforms may also use machine learning to improve pattern detection and process analysis.

Business process mining, also known as process mining BPM, is the same as process mining. It uses data-driven techniques to analyze, visualize, and improve business processes by extracting knowledge from event logs in IT systems. The goal is to increase transparency, optimize workflows, and improve business outcomes.

Process mining diagrams visually represent how processes actually flow within an organization, based on real event data. They show activity sequences, paths, bottlenecks, and variations. They help you understand the true process, compare it with the intended process, and identify areas for improvement.

Business process flows are the sequences of steps or activities that make up a business process from start to finish. They define how work moves through an organization, including decision points, parallel tasks, and handoffs between teams. Understanding business process flows helps you design processes that improve efficiency and deliver consistent outcomes.

Process mining is an analytical approach to discovering, monitoring, and improving real processes by extracting knowledge from event logs in IT systems. It is usually spelled as two words: “process mining”.

The three types of process mining are: (1) Process Discovery, which automatically generates a process model from event log data; (2) Conformance Checking, which compares the discovered process with a reference model to find deviations; and (3) Process Enhancement, which enriches an existing model with performance data such as bottleneck times and resource usage.

Process mining uses actual event log data from IT systems to automatically discover how processes really work. Process mapping relies on manual interviews and workshops to document how people think processes work. Process mining is objective, fast, and covers all process variants, while process mapping is subjective and typically captures only the “happy path.”

Process mining software is a specialized application that ingests event log data containing case IDs, timestamps, and activity names and automatically reconstructs visual process models. It helps you discover, analyze, and optimize business processes using real data. Examples include ProcessMind, Celonis, and Disco.

Process mining is commonly used with SAP ERP systems by extracting event logs from SAP transaction tables such as BKPF, EKPO, and VBAK. These logs contain timestamped records of business activities such as order creation, goods receipt, and invoice posting. Process mining software transforms this SAP data into visual process maps, showing how processes such as order-to-cash and procure-to-pay actually run.

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