Retail Data Model
Conformed dimensions (product, store, customer), fact tables, and SCD management.
Self‑service analytics and executive dashboards purpose‑built for retail: sales & margin, GMROI, sell‑through, stock cover & aging, promo & price analytics, cohort/CLV, churn & win‑back, store operations, and marketplace P&L — with governed data models and real‑time feeds from POS, e‑commerce, ERP, and WMS.
Conformed dimensions (product, store, customer), fact tables, and SCD management.
Streaming/batch connectors from POS/e‑com/ERP/WMS; CDC and late‑arriving handling.
Daily/hourly sales, mix, margin bridges, category=brand=SKU views, and trends.
Stock cover, aging, OOS rate, reservations, and DC/store visibility.
Sell‑through, turns, GMROI, lifecycle/markdown tracking, and size curves.
Elasticity, uplift, cannibalization, halo effects, and promo ROI.
RFM/CLV, cohorts, repeat rate, churn risk, voucher burn, and NPS/CSAT.
Traffic vs conversion, basket size, labor KPIs, and cashier variance.
Conversion funnels, fulfilment SLAs, cancellations/returns, and channel P&L.
Demand forecasts, inventory projections, and financial scenarios.
Threshold alerts, anomaly detection, scheduled emails/WhatsApp/PDFs.
Row‑level security, PII masking, lineage, audit, and RBAC/SSO.
POS, ERP, WMS, e‑commerce/marketplaces, payment gateways, and data warehouse/lake.
One version of the truth across teams and channels.
Promo ROI, OOS, and churn risk translate to fixes.
Templates and conformed models shorten time to first dashboard.
Governed access, lineage, and audit keep data safe.
Columnar storage, aggregates, and cache for speed.
Responsive dashboards for HQ and stores.