Value Count in Case Attribute

Overview

The Value Count in Case Attribute calculator counts the number of distinct values in a selected case-level attribute. This calculator helps you understand the variety and uniqueness of categorical data at the case level.

Common Uses

• Calculate number of unique customers or vendors
• Count distinct product categories
• Identify number of different case variants
• Measure diversity in organizational units
• Add value count metrics to dashboards

Settings

Column Name: Select the case-level attribute for which you want to calculate the value count (e.g., Customer, Vendor, Product Category, Variant).

Examples

Example 1: Count of Distinct Vendors

Scenario: You want to know how many different vendors you work with.

Settings:

• Column Name: Vendor

Output:

The calculator displays a single number, such as "3,238", indicating you have 3,238 distinct vendor names in your dataset.

Insights: This helps you:

• Understand vendor diversity in your supply chain
• Assess consolidation opportunities
• Evaluate vendor management complexity

Example 2: Count of Distinct Process Variants

Scenario: You want to know how many different process paths (variants) exist in your cases.

Settings:

• Column Name: _calcVariant

Output:

The calculator shows "121", indicating there are 121 different process variants in the dataset.

Insights: This reveals:

• Process complexity and variation
• Standardization opportunities
• How many different ways the process is executed
• Potential for process simplification

Usage Tip: A high variant count suggests process flexibility but may indicate lack of standardization, while a low count suggests standardized but potentially inflexible processes.

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This documentation is part of the mindzie Studio process mining platform.