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.


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

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