The Ten Field Disciplines

DATUM is organized into ten operational decision chapters, each cataloging ten canonical mathematical blueprints with interactive parameter models.

Predict customer purchases, isolate promotion lifts, and eliminate systemic forecast bias.

Balance stochastic lead-time variances, size safety stock buffers, and classify ABC/XYZ tiers.

Schedule scarce machine capacity, sequence changeovers via TSP, and elevate bottlenecks.

Optimize vehicle routing (CVRPTW), 3D bin-packing cubes, and facility location allocations.

Decompose price-volume-mix margins, account tiering portfolios, and lead pursuit thresholds.

Model Kaplan-Meier retention curves, RFM segmentations, and proactive churn risk scores.

Forecast 13-week rolling cash runways, explain variance bridges, and audit revenue leaks.

Match workforce shifts to arrival distributions, analyze Kingman queue delays, and balance WIP.

Enforce DRY canonical metric schemas, orchestrate DAG pipelines, and monitor data decay.

Integrate vector RAG search, zero-shot intent routing, and confidence-gated agent workflows.