Universal Composite KPI : Weighted & Normalized Scoring Using Visual Calculations Only

gopy6243 — Wed, 19 Nov 2025 12:17:48 GMT

Universal Composite KPI : Weighted & Normalized Scoring Using Visual Calculations Only

This pattern creates a base solution for Composite KPI Score by normalizing multiple KPIs to a 0–1 scale and applying user-defined weights via What-If parameters(numeric field parameters). The result is a single, comparable performance indicator that works across different KPI types and units, fully powered by Visual Calculations.

Concept Overview

Because KPIs have different scales (money, percentages, counts), each KPI is first normalized, then multiplied by a weight.
The final composite score is a weighted sum of all normalized KPIs.

Normalization Formula

1. Min–Max Normalization (Higher Is Better)

This method maps all values into the range 0 to 1, where 0 is the minimum and 1 is the maximum:

Use this when higher values represent better performance (e.g., Sales, Orders, Margin, CSAT).

2. Min–Max Normalization (Lower Is Better)

Some KPIs—such as Total Cost, Defects, Error Rate, or Response Time—improve when the value is lower.
In these cases, the formula must be inverted so that the lowest value receives the highest normalized score:

This keeps everything in the same 0–1 range, while correctly rewarding lower values.

3. Z-Score Normalization (Standardization)

Alternatively, you can normalize using Z-scores, which measure how far a value is from the mean:

Z-scores:

Are centered around 0
Can be negative or greater than 1
Are useful when you care about distance from average, not just min/max boundaries

For KPIs where lower is better, you simply invert the sign:

example code is provided for Z normalization in the file but not used in the composition

Composite Score Formula

Visual Calculation Functions Used

FIRST()
ORDERBY()
DIVIDE()
Basic arithmetic operations (multiplication, addition)

Pros

Fair comparison across KPIs with different units
User-controlled weight influence
Fully dynamic within the visual
100% implemented using Visual Calculations

Cons

You must repeat the normalization pattern for each KPI you want to include.
Each added KPI requires creating a new normalization VC (unless automated in a future pattern).

Future Post Enhancements pattern

Allow the user to select which KPIs to include in the composite score.
Allow the user to input weights only for selected KPIs.
Make the normalization and composite score automatic, so adding new KPIs does not require additional Visual Calculations. It accepts selected measures as parameter and compute for all.

By Hadi Kheireddine

🔗LinkedIn

topic Universal Composite KPI : Weighted & Normalized Scoring Using Visual Calculations Only in Visual Calculations Gallery

Universal Composite KPI : Weighted & Normalized Scoring Using Visual Calculations Only

Universal Composite KPI : Weighted & Normalized Scoring Using Visual Calculations Only

Concept Overview

Normalization Formula

Composite Score Formula

Visual Calculation Functions Used

Pros

Cons

Future Post Enhancements pattern