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Process Mining vs (BPM) Business Process Management: Why BPM Alone Isn’t Enough

Jon Knisley

September 26, 2025

Companies put a lot of effort into designing processes, but many still lack visibility into how those workflows actually run. Although business process management (BPM) tools can help design how work should be done, they aren’t built to map or monitor day-to-day execution.

After a workflow is implemented, reality tends to stray from the plan. In real life, employees may cut corners, or systems fail to talk to each other.

Seeing how processes really run on the ground requires a different solution: process mining. Process mining sifts through the data in your systems to show you how your processes truly run, including where things slow down and what could be improved.

Many teams confuse BPM and process mining, but the two serve very different, if complementary, roles. Understanding the difference between the two lets you make data-driven workflow improvements that BPM alone can’t deliver.

Business process management (BPM) explained

Business process management (BPM) refers to the practice and the technologies for designing and orchestrating the way work gets done across an organization, with the goal to execute and optimize processes. When done well, BPM:

  • Manages workflows across enterprises
  • Standardizes complex, multi-step processes
  • Establishes clear methods for tracking performance
  • Reduces human error through automation and consistency

 

Process mining components

Process mining explained

Process mining refers to the techniques and technologies used to transform event logs from IT systems into visual process maps. These data-driven maps show businesses the way their processes truly run. Process mining helps businesses:

  • See how processes actually run, end to end
  • Make smarter, data-driven decisions
  • Improve processes continuously
  • Streamline workflows for better customer experiences
  • Monitor activity for adherence

Process mining vs business process management (BPM)

Business process management (BPM) and process mining tackle process improvement from different angles. BPM designs how work should happen by creating structure and rules, while process mining looks at what’s really happening by analyzing data from your systems.

BPM Process Mining
Purpose To design and optimize how business processes should work. To uncover how processes actually run by analyzing real system data.
When to use To define or redesign workflows. To assess and optimize existing processes.
Tools Workflow design and orchestration tools focused on ideal process execution. Data-driven analysis tools that map real-world process behavior based on system activity logs.
Approach Model-driven, based on ideal process flows. Data-driven, based on reconstructing real workflows from system event logs.
Time to value Moderate to long. Requires process modeling and implementation. Fast. Driven by data ingestion and automated analysis.
Data source Process documentation, business rules, user input, and modeled workflows. Event logs from business systems like CRM, EHR, and ERP.

Used together, BPM and process mining help teams shift from one-time process design to a continuous cycle of process optimization.

What BPM can’t show you, but process mining can

Business process management (BPM) is the go-to tool for designing structured, standardized workflows, but by itself, it has a blind spot: execution visibility. Once processes are up and running, you need process mining to see what’s really happening in your business.

With process mining, businesses gain:

Process visibility

Processes rarely unfold in real life the way they were originally designed. Yet to make smart real-life decisions, businesses need to know how work happens on the ground.

This is especially true during major organizational shifts that require clear process lead time metrics. As highlighted by EY, a leading consumer healthcare company that needed to separate its consumer goods business from its pharmaceutical division turned to process mining to map its workflows.

The goal was to identify hidden dependencies or potential disruptions to the transition. Teams then streamlined handoffs and minimized process disruptions while untangling operations across departments.

Data-driven decision-making

Without a clear view of how processes actually run, it’s nearly impossible to make informed decisions. Process mining fills that gap.

One Fortune 100 financial institution, for example, used process mining to consolidate data from over 40 systems into a live stream of two million daily event records. This gave the company a real-time view of transaction workflows and pinpointed $6 million in avoidable expenses tied to delays and manual handling.

Integration with real-time process data

Process mining pulls up-to-date information to let businesses see how processes are running at the moment, as well as historically. According to a report by CIO, when the state of Oklahoma set out to audit billions in public spending across 122 agencies, the Office of Management and Enterprise Services (OMES) used process mining to pull live data into a centralized dashboard. The team got visibility into purchase orders and card transactions for real-time oversight over 100% of state spending.

Continuous improvement

Process mining also allows businesses to move from isolated fixes to an ongoing cycle of optimization. The same CIO report, for example, details how Albini & Pitigliani, a global freight and logistics company, used a process mining platform to analyze logs and uncover inefficiencies.

By using real-time KPI dashboards, area managers could view the performance of different traffic types and tweak workflows as needed. Over time, ALPI reduced fulfillment errors by 75% while increasing sales by 15%.

All of these examples required information that BPM alone couldn’t provide: a clear understanding of how work was actually getting done, often uncovered through techniques like root cause analysis and process conformance. Process mining delivers that visibility across industries, whether the goal is saving taxpayer dollars or navigating a complex business separation.

Why BPM and process mining work better together

Process improvement doesn’t stop at designing better workflows, but requires making sure those workflows actually work. As a result, many organizations pair BPM with process mining: BPM lays out the structure, and process mining puts it to the test.

Together, the two technologies help close the gap between planning and execution. Teams can spot smarter improvement and automation opportunities and continue tweaking processes to make them run even better.

Common questions about BPM, process mining, and process intelligence

If a business uses BPM, why would it also need process mining?
How is BPM different from process mining and process intelligence?
How can businesses combine AI, process mining, BPM, and process intelligence?
Do I still need process intelligence if I use BPM tools?
How does process mining reveal what traditional BPM misses?

ABBYY Timeline: Your end-to-end process intelligence platform

At ABBYY, we’ve spent decades helping enterprises make their processes smarter and faster. Our process intelligence platform ABBYY Timeline combines the power of process mining and task mining to give organizations a clear, data-driven view of how work actually happens.

Timeline goes beyond process mining to offer AI-driven capabilities for process discovery, analysis, monitoring, prediction, and simulation. Watch our 1-minute introduction video to see how this all-in-one approach works. Then start your free trial of ABBYY Timeline or get in touch with one of our experts to experience the value firsthand.

Start your free trial of ABBYY Timeline
Jon Knisley

Jon Knisley

Jon Knisley is ABBYY’s product marketing manager for Process AI. He defines and delivers business value from process intelligence for leading companies globally. Prior to his current role, Jon was a partner at Reveal Group and worked on FortressIQ’s first-in-class process discovery technology.

Follow Jon on LinkedIn.