Process Filters
Master applying filters to processes in ProcessMind. Discover focusing on data segments for in-depth insights and enhanced analysis.
ProcessMind offers a robust set of chart options for visualizing and analyzing data. These charts enable you to gain insights quickly, identify trends, and make data-driven decisions. Below are the chart types currently supported and the customization options available.
Bar Charts
Use to compare categories or groups side by side, such as activity counts, durations, or throughput times. Best for showing discrete data comparisons.
Column Charts
Ideal for visualizing trends over time or comparing metrics across categories vertically. Works well for time-based data or frequency distributions.
Line Charts
Use for showing trends, progressions, or changes over time, such as case throughput over days or weeks. Great for continuous data.
Area Charts
Similar to line charts but with the area below the line filled in. Use to emphasize the magnitude of change over time or the cumulative effect of trends.
Pie Charts
Use for displaying proportions or percentages of a whole, such as activity types within a process or case distribution.
Donut Charts
A variation of pie charts, with a central space for additional information. Ideal for highlighting proportions while providing context in the center.
Radial Bar Charts
Best for visually appealing representations of grouped or categorized data in a circular format. Useful for comparing datasets while saving space.
Text Charts
Use for displaying key statistics, metrics, or highlights in a textual format. Ideal for summarizing numbers or KPIs alongside visual charts.
HTML Frames
Use for embedding external or dynamic content within your dashboard, such as custom charts, reports, or additional visualizations not natively supported.
These are Data-level charts that are preset and available for use in ProcessMind. These include
These charts can be attached to attributes from a single dataset or multiple datasets, as long as they share a common element.
Each chart in ProcessMind can be customized with the following options:
Below is a brief explanation of each metric option available for chart customization:
Count Cases
Displays the total number of cases in the dataset or for a specific attribute. Useful for understanding the overall workload or volume.
Count Events
Shows the total number of events recorded in the dataset. Ideal for tracking activity occurrences or event frequency.
Sum
Calculates the total sum of a numeric attribute (e.g., total duration or costs). Useful for cumulative metrics.
Avg (Average)
Computes the average value of a numeric attribute (e.g., average activity duration). Helps identify typical performance levels.
Min (Minimum)
Shows the smallest value of a numeric attribute (e.g., shortest activity time). Useful for benchmarking best-case scenarios.
Max (Maximum)
Displays the largest value of a numeric attribute (e.g., longest activity time). Highlights potential bottlenecks or outliers.
Ratio Events
Calculates the proportion of events relative to a defined total (e.g., percentage of a specific activity). Useful for analyzing event distribution.
Ratio Cases
Determines the proportion of cases relative to a defined total (e.g., percentage of cases for a specific attribute). Provides insights into case-level distribution.
Average Throughput Time
Measures the average time taken to complete a case, from start to finish. Helps evaluate overall process efficiency.
Average Processing Time
Calculates the average active working time spent on cases or activities, excluding idle times. Useful for analyzing resource utilization and productivity.
These metrics allow users to customize charts to focus on the specific insights they need from their data.
By leveraging these chart types and customization options, ProcessMind allows you to create highly tailored visualizations that match your specific analysis needs and provide clear, actionable insights.