Custom analytics dashboard built with process mining for operations visibility

[kimexpert]

Wanted to share our successful implementation of a custom analytics dashboard that replaced our manual tracking processes and delivered significant efficiency gains.

We were struggling with operational visibility across our order fulfillment workflow. Management needed real-time insights into bottlenecks, but our existing reporting relied on manual data exports and weekly Excel compilations. The team spent 8-10 hours per week just preparing status reports.

We built a solution integrating Process Mining with a custom Power BI dashboard. Process Mining automatically captures our workflow execution data, identifying where orders get delayed. The Power BI dashboard pulls this data with daily refresh, presenting metrics like average processing time, bottleneck activities, and resource utilization.

The custom dashboard provides three key views: operational overview for daily monitoring, process variant analysis for identifying inefficient paths, and resource performance tracking. Each view updates automatically, eliminating manual data compilation.

Since deployment two months ago, management has real-time visibility into operations, and we’ve reduced reporting time from 10 hours to 30 minutes weekly. The process mining integration revealed three major bottlenecks we weren’t aware of, which we’re now addressing. Would be happy to discuss implementation details with anyone considering a similar approach.

[chris_lead]

This is impressive Maria. How did you handle the initial process mining setup? We’re considering this for our manufacturing workflows but concerned about the data ingestion complexity. Did you use standard connectors or custom data pipelines?

[arjunapi]

Did you face any challenges with process variant identification? In our initial Process Mining tests, we got overwhelmed with too many variants - the tool identified 200+ different paths through our workflow when we expected maybe 10-15 standard variants. How did you filter this to get meaningful insights in your dashboard?

[laurae_thinker]

Linda, we use scheduled refresh at 6 AM daily. Real-time wasn’t necessary for our use case since management reviews metrics during morning meetings. For performance, we implemented incremental refresh in Power BI - only the last 30 days refresh fully, while historical data is stored in aggregated form. This keeps refresh time under 15 minutes even with six months of process data. We also created separate datasets for detailed analysis versus executive dashboard to optimize performance.