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DATUM ALGORITHMIC FAMILY

Method: Statistical Variance Decomposition

Price-Volume-Mix sequential bridges, statistical process control (SPC) bands, and decision-theoretic loss curves.

#002
Forecast Diagnostics

Forecasts are consistently too high or too low

Are we repeatedly leaning in one direction?

#002 CUSUM Bias Detection+23 Over-forecast
Actual Demand
Forecast Baseline
CUSUM OFFSET:-0 u
SYSTEM BIAS:+23 Shift
💡Small errors in one direction create compounding operational waste.
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#013
Safety Stock Models

Safety stock is based on guesswork

How much buffer should we hold for uncertainty?

#013 Normal Distribution (Z-Score)Z = 1.645 (SL 95%)
Lead Time: 9d · Std Dev: 14u69 Units Buffer
SAFETY STOCK:69 units
HOLDING COST:$290 / mo
💡Exponential buffer curves near 99% service limits.
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#043
Price-Volume-Mix (PVM) Variance Analysis

We cannot explain why revenue changed

What actually drove the change?

#043 Price-Volume-Mix (PVM)Net Δ: +$0k
Price
0k
Volume
+0k
Mix
0k
✓ Baseline Pricing StrategyElasticity: -0.67
VOLUME LIFT:Baseline
MARGIN IMPACT:$0 (Base)
💡Headline revenue movements mask opposing price-volume dynamics.
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