Process Charts

Charts

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.

Choosing the Right Chart Type

• 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. Text Charts can also be used to provide additional context or explanations for the data being presented since it is supporting markdown notation to enrich it with font changes like bold, italic but also support for tables, images and more. A complete manual can be found here .

• HTML Frames
  Use for embedding external or dynamic content within your dashboard, such as custom charts, reports, or additional visualizations not natively supported.

Pre-Fixed Charts

These are Data-level charts that are preset and available for use in ProcessMind. These include

• Cases prefixed charts
• Events prefixed charts
• Sustainability metrics charts

These charts can be attached to attributes from a single dataset or multiple datasets, as long as they share a common element.

Chart Customization Options

Each chart in ProcessMind can be customized with the following options:

General

• Title of the Chart:
  Set a custom title for the chart. If not specified, the chart will default to the name of the attached attribute.
• Chart Type:
  Easily switch the current chart type to another supported type.
• Column Attribute:
  Select the attribute represented in the chart. These attributes are color-coded based on the dataset, making it easy to identify specific elements.

Metric

Below is a brief explanation of each metric option available for chart customization:

Counts

• Count Cases
  Displays the total number of cases in the dataset or for a specific attribute. Useful for understanding the overall workload or case volume.

• Count Events
  Shows the total number of events recorded in the dataset. Ideal for tracking activity occurrences or event frequency.

• Count Activities
  Counts the total number of activity executions across all cases. Helps analyze workload distribution and activity intensity.

Attribute Metrics

• Sum
  Calculates the total sum of a numeric attribute (e.g., total duration, total cost). Useful for cumulative insights.

• Avg (Average)
  Computes the average value of a numeric attribute (e.g., average activity duration). Highlights typical performance levels.

• Count Distinct
  Counts the number of unique values for a selected attribute (e.g., unique users, systems, or resources). Useful for diversity analysis.

• Min (Minimum)
  Shows the smallest value of a numeric attribute (e.g., shortest activity time). Benchmarks best-case scenarios.

• Max (Maximum)
  Displays the largest value of a numeric attribute (e.g., longest activity time). Highlights bottlenecks or extreme cases.

• Median
  Returns the middle value of a numeric attribute, reducing the impact of outliers compared to averages.

• Modus (Mode)
  Identifies the most frequently occurring value in a dataset. Useful for spotting dominant behaviors or attributes.

Throughput Time (Case Duration)

Measures the total elapsed time from case start to case end.

• Sum Throughput Time – Total throughput time across all cases.
• Average Throughput Time – Mean case duration.
• Min Throughput Time – Fastest case completion time.
• Max Throughput Time – Longest case completion time.
• Median Throughput Time – Middle value of case durations.
• 90th Percentile Throughput Time – Duration under which 90% of cases finish, useful for SLA benchmarking.

Processing Time (Active Work Duration)

Measures the time spent actively processing cases or activities, excluding idle times.

• Sum Processing Time – Total processing time across all cases.
• Average Processing Time – Mean active work duration.
• Min Processing Time – Shortest processing time recorded.
• Max Processing Time – Longest processing time recorded.
• Median Processing Time – Middle processing time value.
• 90th Percentile Processing Time – Active time within which 90% of cases or activities are completed.

Ratios

• Ratio Cases
  Proportion of cases meeting a specific condition relative to the total. Useful for case-level comparisons.

• Ratio Events
  Proportion of events meeting a condition relative to the total. Useful for analyzing event distributions.

These metrics allow users to customize charts to focus on the specific insights they need from their data.

• Filter Attribute:
  Determine if the chart should be filtered based on a specific attribute.

Filters & Sorting

• Filter Data:
  Apply filters for Open, Closed, or All Cases.
• Sorting By:
  Choose the sorting order (Auto, Ascending, Descending, etc.).
• Show Top X Items:
  Limit the number of data points represented in the chart to a specified maximum.
• Apply General Filters:
  Decide if global filters should apply to this chart.
• App Time Filters:
  Specify whether time filters should be applied to the chart.

Labels

• Show Data Labels:
  Toggle on/off to display labels on top of chart points.
• Show X-Axis Labels:
  Enable or disable X-axis labels and customize them.
• Show Y-Axis Labels:
  Enable or disable Y-axis labels and customize them.
• Legend Location:
  Set the legend position (Top, Bottom, Left, Right).

Style

• Fill Style Coloring:
  Customize the chart’s appearance using different fill styles:
  • Gradient: Apply a gradient effect to the chart.
  • Solid: Use a flat color based on the dataset.
  • Monochrome: Use a single color from the dataset.
  • Monochrome Gradient: Use a single color from the dataset and applying a gradient.

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.