With over 30 years of experience in business process management (BPM), QPR has pinpointed the primary causes of operational inefficiency in large organizations: neglecting the current “as-is” processes and lacking comprehensive understanding of them.
During organizational transformations, companies often prioritize idealized “to-be” processes, overlooking the significance of existing processes. Conversely, some organizations attempt to understand their current operations through workshops and interviews, but these efforts are time-consuming, expensive, and often biased.
Enter process mining. Tools like QPR ProcessAnalyzer analyze your organization’s data, providing an accurate, data-driven overview of your processes, pinpointing bottlenecks, and suggesting proactive solutions to process issues.
In this article, we will explore the top five best practices for implementing process mining in large organizations: BPM Maturity, Exceptions, Process Excellence, Use Cases, and Center of Excellence.
1. Understand your level of Business Process Management (BPM) maturity.
The distinction between function-oriented and process-oriented organizations is significant. In function-oriented setups, business functions like sales, marketing, delivery, finance, and R&D operate independently as silos. In contrast, process-oriented organizations have designated process owners responsible for comprehensive end-to-end processes.
In functional organizations, Process Mining offers significant improvements by clarifying unclear processes. It helps identify end-to-end activities and enhances efficiency among segregated units. However, securing support is challenging due to unclear ownership in functional silos.
Contrastingly, mature Business Process Management (BPM) organizations benefit from seamless Process Mining implementation. Although changes might be less significant, it remains valuable and effortless to deploy into operations.
2. Exceptions cause problems and require effort
We stress to our customers that exceptions are major process issues. Typically, 80% of business follows agreed processes, but the remaining 20% involves exceptions. Interestingly, the designed 80% of business requires only 20% of the effort. Workers spend 80% of their time dealing with rework, bottlenecks, and delays caused by exceptions.
Process mining is the most effective way to address non-compliant processes. Using software like QPR ProcessAnalyzer, your organization’s process owners can gain a complete overview of their processes, quickly pinpoint exceptions, understand their causes, and prevent issues before they arise.
Reducing exceptions by 10% can lead to a 40% reduction in workload. This results in improved customer service and enhanced employee productivity. Over time, fewer exceptions boost customer satisfaction, employee efficiency, and overall process effectiveness.
3. Three Steps to Process Excellence: Customer, Flow, Automation
Leveraging practical expertise gained through global engagements with large organizations, QPR experts identify three pivotal KPIs: customer satisfaction, seamless process flow, and efficient automation.
Firstly, happy customer KPIs ensure keeping promises to customers, like delivering orders on time for high satisfaction.
Secondly, happy flow KPIs guarantee adherence to agreed processes, enhancing internal efficiency with metrics like first-time-right and lead time.
Lastly, happy automation KPIs monitor process automation progress at both individual steps and end-to-end processes.
Achieving excellence involves meeting these three steps for all cases, enhancing all business processes.
4. Apply to multiple Use Cases
Big companies use Process Mining in specific areas with issues or skilled staff. Yet, understanding all processes can be applied everywhere once transparency is achieved.
5. Build a Process Mining Center of Excellence
To make the most of Process Mining, we urge organizations to establish a center of excellence. Process Mining operates at three levels. Firstly, it enables quick insights for process managers, allowing them to spot bottlenecks instantly. Secondly, it’s often used in specific projects within departments like auditing or delivery, where people understand its potential and application.
Ultimately, Process Mining should become a standard tool for continuous improvement and business transformation in organizations. To achieve this, establishing a center of excellence accessible to everyone is crucial. While Process Mining is user-friendly with existing business models, creating custom models can be complex, especially when integrating specific details from systems like ERP and logistics.
Our recommendation is to leverage your organization’s strengths. For instance, if your BPM team is experienced, they’re ideal for building the Process Mining center. Alternatively, if your IT team excels in process development, they could lead the initiative. A digital transformation unit with suitable skills could also take charge, ensuring seamless adoption of Process Mining software.