Data Model for Travel
Fact tables for bookings, pax, segments; dims for date, channel, product.
Unified analytics for bookings, capacity, and margins—with demand forecasts to plan prices, guides, vehicles, and inventory.
Fact tables for bookings, pax, segments; dims for date, channel, product.
Scheduled ETL/ELT, deduplication, and validation rules.
Booking pace, pickup, cancellations, and yield.
Load factor, resource utilization, on‑time metrics.
Revenue, margin, COGS, AR/AP aging, and cash flow.
Time‑series and causal models with what‑if scenarios.
RFM, cohorts, and LTV by channel and product.
Thresholds and statistical drift detection.
Share dashboards to partners with row‑level security.
Definitions, owners, and end‑to‑end lineage.
RBAC, PII masking, and audit logs.
SQL, CSV, and API access to curated datasets.
Everyone sees the same metrics and definitions.
Demand forecasts inform pricing and staffing.
Spot margin leakage and act quickly.
Self‑service reporting reduces ad‑hoc requests.