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.
Jump to:
Business process management (BPM) explained
Process mining vs business process management (BPM)
What BPM can’t show you, but process mining can
Why BPM and process mining work better together
Common questions about BPM, process mining, and process intelligence
ABBYY Timeline: Your end-to-end process intelligence platform
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 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.