Overview
The Event Count calculator counts the total number of events (activities) in your event log. Unlike the Case Count calculator which counts process instances, this calculator shows the total volume of individual activities performed across all cases. This fundamental metric helps you understand process activity volume and execution intensity.
Common Uses
- Display total activity volume across your process
- Calculate average events per case when combined with case count
- Monitor data extraction completeness by verifying expected event volumes
- Track workload intensity and processing activity levels
- Add event volume metrics to operational dashboards
- Validate data loads by comparing expected versus actual event counts
Settings
There are no specific settings for this calculator beyond the standard title and description fields.
Examples
Example 1: Measuring Process Activity Volume
Scenario: You want to display the total number of activities performed in your procurement process to understand overall process activity.
Settings:
- Title: "Total Activities Processed"
- Description: "Total number of activities performed across all purchase orders"
Output:
The calculator shows a single number, such as "45,823", representing the total event count in your log.
Insights: This metric shows the total volume of work performed. When combined with case count, you can calculate the average number of activities per case to understand process complexity. For example, if you have 45,823 events and 5,247 cases, that's an average of 8.7 activities per purchase order.
Example 2: Data Validation After Extraction
Scenario: After extracting data from your source system, you want to verify that all expected events were loaded correctly.
Settings:
- Title: "Event Count Validation"
- Description: "Verify complete data extraction"
Output:
The calculator displays "156,429" events.
Insights: You can compare this count against your source system's record count to ensure data completeness. If your source system shows 156,429 records and the calculator shows the same count, you've successfully loaded all events. Any discrepancy indicates data extraction issues that need investigation.
Example 3: Calculating Process Intensity
Scenario: You want to understand how activity-intensive your process is by comparing event count to case count.
Settings:
- Add Event Count calculator with title "Total Events"
- Add Case Count calculator with title "Total Cases"
- Place both on the same dashboard
Output:
Event Count shows "89,456" and Case Count shows "12,134".
Insights: Dividing events by cases gives you 7.4 events per case on average. This metric helps you understand process complexity. A higher ratio indicates more complex processes with many steps, while a lower ratio suggests simpler, streamlined processes. You can filter by different time periods or process variants to see how this intensity metric changes.
Output
The calculator displays a single numerical value representing the total count of events (activities) in the event log. This count includes all activity instances across all cases in the current filtered dataset.
This documentation is part of the mindzie Studio process mining platform.