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Data Warehouse

The ProcurelyIQ Glossary defines terms.
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Data Warehouses provides a centralized, structured repository for analytics and reporting, built from cleaned, modeled, historical data.

Primary Function: Supports dashboards, BI reporting, KPIs, forecasting. Integrates data from many operational systems (ERP, CRM, POS, WMS, finance).

Data Types: Highly structured, historical, analytical data. Includes facts (sales, inventory, transactions) + dimensions (SKU, store, vendor, customer).

Strengths:
– High‑performance analytics
– Consistent historical trend analysis
– Supports enterprise reporting (finance, supply chain, merchandising)

Typical Users: Executives, FP&A, supply chain analysts, planners, data analysts, BI teams.

Analogy: The “library” of the enterprise—everything organized, indexed, and ready for analysis.

See also: Data Lake, MDM

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