FactorPrism®
Use Case

The Product Category Surprise

Traditional reports show categories and regions separately and leave you guessing where the growth came from. FactorPrism® finds the right level—including the one specific intersection that mattered—and the drivers tie out to the total exactly.

Understanding 18% Growth

Q2 sales came in 18% above Q1. The leadership team needed to understand why before planning Q3 inventory and marketing. Was it a specific product category? Certain regions? Or something more specific?

This is a hierarchy problem across multiple dimensions. The answer might be at the category level, the region level, or—crucially—at the intersection of both.

Traditional Analysis Shows the Wrong Levels

The team pulled their standard BI reports, which showed each dimension separately:

By Category (Category Level)

  • Jewelry: +22%
  • Electronics: +15%
  • Apparel: +8%
  • Home Goods: +12%

By Region (Region Level)

  • South: +24%
  • West: +19%
  • Northeast: +11%
  • Midwest: +14%

The Hierarchy Problem

These reports show impact at the category level and the region level separately. But what if the real driver is at the intersection level—a specific category in a specific region?

Looking at these reports, a reasonable conclusion would be "Jewelry is hot—invest in Jewelry company-wide" or "The South is strong—expand in the South across all categories." Both conclusions allocate to a single dimension, potentially missing the real story.

FactorPrism® Finds the Right Level

FactorPrism® analyzed all hierarchy levels simultaneously and found the simplest explanation:

+
South + Jewelry (Intersection): +9.0% Half the total growth from one specific combination
+
West Region (All Categories): +5.0% Broad-based regional strength—correctly attributed at region level
~
Segment-Wide Baseline: +5.0% General lift across everything (company-wide level)
Northeast + Apparel (Intersection): -1.0% A specific problem at the intersection level

The Right Hierarchy

The biggest driver wasn't "Jewelry" (category level) or "South" (region level)—it was "South + Jewelry" specifically (intersection level). This single combination drove 9% of the 18% total growth.

Meanwhile, West's growth was truly broad-based (correctly attributed at region level), and there was a segment-wide baseline lift (correctly attributed at company-wide level). Each effect is attributed to its correct level in the hierarchy.

And It Ties Out

Add the drivers back up: +9% + 5% + 5% − 1% = your 18%, exactly. Every point of the change is accounted for, once—like good accounting, not a pile of percentages that don't reconcile. And notice the −1%: FactorPrism® surfaces what's declining (Northeast + Apparel) right beside what's growing, so offsetting stories never hide.

Why the Right Level Matters

Traditional (Wrong Levels)

  • Shows category level: "Jewelry +22%"
  • Shows region level: "South +24%"
  • Conclusion: "Invest in Jewelry company-wide"
  • Action: Increase Jewelry inventory everywhere
  • Misses that it's specifically South-Jewelry

FactorPrism® (Right Levels)

  • Finds intersection: "South-Jewelry +9%"
  • Finds region-wide: "West all-categories +5%"
  • Conclusion: "South-Jewelry is the specific driver"
  • Action: Double down on South-Jewelry specifically
  • Finds the right level for each effect

Taking Action at the Right Level

With the true hierarchy revealed, the team made targeted decisions:

Inventory
Doubled Jewelry allocation to Southern distribution centers—not company-wide
Marketing
Targeted Jewelry campaigns specifically in Southern markets; broad campaigns in West
Investigation
Found Northeast Apparel had pricing issue vs. regional competitor—fixed it
Targeted Investment, Better Results By targeting Jewelry investment to Southern distribution centers instead of company-wide, the team avoided over-stocking the categories and regions that weren't actually driving growth—while Southern Jewelry sales continued to outperform.

Key Insight

Traditional BI shows dimensions separately—category growth and regional growth as independent reports. FactorPrism® considers all hierarchy levels simultaneously: company-wide, category-specific, region-specific, and intersection-specific. It finds the simplest explanation, attributing each effect to its correct level. When the real driver is an intersection, only multi-dimensional hierarchy analysis reveals it.

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