In over 30 years of experience in business process management (BPM), we’ve pinpointed the two primary causes of operational inefficiency in large organizations: neglecting the “as-is” processes and lacking the means to fully understand them.
This is where process mining becomes crucial. By interpreting data from your organization’s information systems, process mining software (such as QPR ProcessAnalyzer) provides a comprehensive, fact-based overview of your processes’ real-world performance. It identifies bottlenecks and recommends actions to proactively address process issues.
This blog post will delve into four interconnected topics in BPM: the Deming cycle (PDCA), BPM lifecycle, process mining stakeholders, and process excellence KPIs. It will highlight how process mining serves as an excellent tool to support these aspects.
1. Implement change through the Deming cycle - PDCA
Deming Cycle (PDCA) is a method I particularly favor for instigating change in any organization. PDCA stands for Plan – Do – Check – Act.
Plan:
To enhance your business, start by scrutinizing your operations and identifying performance-limiting problems. Every organization faces challenges, whether internally or stemming from the environment. Currently, a significant internal challenge is digitalization, where organizations use digital platforms to boost efficiency. Swift responses are crucial for minimizing risks and sustaining business operations during the ongoing pandemic crisis.
Once you’ve pinpointed your organization’s issues, identify their root causes and plan improvements accordingly. Process mining software emerges as a potent tool in this phase, swiftly uncovering as-is processes, inefficiencies, and root causes based on your data. Implementing process mining provides a comprehensive overview of your existing processes, empowering you to make informed decisions based on factual data.

Do:
After gaining insights from process mining about your processes, problems, and root causes, you’ll have a clear plan for change. The results of your operational development changes will manifest in transactional system data like ERP, CRM, and Financial systems.
Check:
Evaluate the results of your changes, observing what works and what doesn’t. Process mining continually monitors end-to-end processes, unlike traditional analytics, ensuring adaptability to new operational changes. It verifies if changes align with intentions and add value to your processes, bridging the gap between the Do and Act steps.
Act:
Upon successful validation of changes in the Do step, standardize the solution for your business. Ensure the solution is implemented, standardized, and remains in service. Continuous monitoring with process mining ensures the intended process improvement and identifies new critical issues affecting performance.
Tips:
- A practical approach is to implement small-scale changes in the Do step and standardize or scale up in the Act step.
- From a process management perspective, process mining is most impactful in the Plan, Check, and Act steps.
- Share process mining analysis results from the Plan step with the team executing the change in the Do step, such as the RPA/Process Automation team.
2. BPM life cycle with process mining
The second topic in process improvement I’ll address is the BPM lifecycle. Aligned with the PDCA model, this cycle offers a more tangible application of process mining.
The cycle commences with process identification. Regardless of your business, numerous processes exist, with two common end-to-end ones being the order-to-cash (OtC) and purchase-to-pay (PtP) processes. Additionally, there are internal processes in HR, finance, logistics, warehousing, etc. A holistic view of operations is crucial to identify critical processes that truly add value to customers.
Process mining, operating on a case level with a unique identifier and event log for each case, reveals the intricacies of a single case and extrapolates insights from a million others. This approach allows for a comprehensive understanding of the entire process.

From a process management standpoint, the journey begins with process discovery to comprehend the as-is process. The as-is process model derived from process mining offers superior fact-based transparency through event logs, surpassing the accuracy and detail of manually crafted process diagrams.
Upon successful as-is process discovery, the next step is process analysis, where weaknesses and their impacts are sought. Process mining provides a holistic view, swiftly identifying bottlenecks, rework, and exceptions. An automated root cause analysis, crucial for understanding operational problems, is a significant outcome of the process analysis.
In contrast to the Deming cycle, this BPM lifecycle is more intricate. It involves creating a new process model through redesign and implementation. Process mining aids in identifying variations that work well, allowing you to select a combination for your new process model. Alternatively, you may implement an entirely new business model, planning the to-be process based on digital transformation possibilities. Continuous process monitoring follows the deployment of the new model, providing conformance and performance insights.
The cycle repeats, enhancing business process maturity and ultimately transforming the entire organization.
Tips:
- Apply this BPM lifecycle to your whole organization and all processes, starting with the most important five to ten key processes.
- Root cause analysis often reveals discrepancies between business areas. Knowledge sharing between best-performing and problem areas can resolve issues without a complete process redesign.
3. Get stakeholders on the same page
With fact-based insights from process mining, share this valuable information with key stakeholders who can drive meaningful transformations in your organization. In numerous operational development projects worldwide, QPR has identified at least six stakeholders heavily involved and benefiting from process mining.

Stakeholders benefiting from process mining include:
Management Team (CEO, COO, CIO, CFO): They gain a fact-based overview of operations, IT systems, and financial insights to support decision-making. A C-level sponsor is essential for transparency and understanding.
Process Owners: Key individuals managing end-to-end processes with responsibilities for performance, resources, and decision-making power. They own process mining models.
Process Analysts: Collaborate with process owners, analyzing processes, identifying issues, and utilizing process mining results to drive improvements.
Process Participants: Frontline workers generating event logs, contributing to process improvements. Change management uses process mining to address potential resistance.
System Engineers: IT professionals implementing changes in systems like ERP and CRM based on process mining insights, ensuring smooth process execution.
Process Mining Methodology Experts: Located in a BPM Center of Excellence, they support stakeholders by sharing knowledge, best practices, and specialized process mining functions.
Tip: In smaller organizations, consider outsourcing or having one methodology expert for efficient process mining implementation.
4. Process Excellence
QPR’s process excellence experts, drawing from hands-on experience with global organizations, highlight three crucial KPIs: satisfied customer, smooth flow, and effective automation.

To achieve process excellence, focus on three key KPIs:
Happy Customer: Ensure timely and complete order deliveries to boost customer satisfaction.
Happy Flow: Maintain internal efficiency by adhering to agreed processes, avoiding costly and inefficient methods.
Happy Automation: Monitor progress in process automation, applying KPIs to individual steps and the overall process.
By attaining these three goals consistently, you can enhance processes across your business for process excellence.
5. QPR ProcessAnalyzer for Process Improvement
Discover powerful features in QPR ProcessAnalyzer for process improvement. Here are three key functionalities:
Benchmarking for Transparency
Utilize QPR ProcessAnalyzer to benchmark as-is processes. The tool offers robust benchmarking tools, as showcased in the screenshot. For instance, compare business activities in Chicago with other regions. The visual depicts variations in Delivery Changed activities, providing valuable insights.

Explore QPR ProcessAnalyzer’s Conformance Analysis for process compliance. This powerful feature analyzes the actual as-is process behavior against the intended design process flowchart.

Experience continuous monitoring with QPR ProcessAnalyzer’s intuitive dashboards. Featuring full Business Intelligence capabilities, reporting, and analysis features, it facilitates seamless communication of process mining results to stakeholders.

Explore Process Mining now if your company hasn’t already. With advancements in capabilities and usability, Process Mining software is evolving rapidly, and the market is maturing. If you’re ready to enhance your company’s as-is process modeling and maximize process efficiency, follow these steps to get started swiftly.