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Solution Blueprint — Data Engineering

Solution Blueprint: An AI-Ready Data Platform for a Retail Group

Retail — GCC

The problem

A retail group runs 12 stores, an e-commerce site and a finance system — each with its own reports, none agreeing with the others. Weekly management reporting takes three days of spreadsheet assembly. An AI initiative stalled because the data underneath was neither clean nor accessible.

The existing process

Nightly CSV exports, manual Excel consolidation, and dashboards whose numbers change depending on who built them. No single definition of “revenue” exists across the group.

The solution

A governed data platform: automated ingestion from POS, e-commerce and finance into a warehouse modelled around the group’s actual questions; a semantic layer fixing one definition per metric; quality gates that catch bad data before it spreads; and retrieval indexes that make the whole platform usable by AI agents.

Architecture

  1. 01Ingestion — automated connectors from POS, e-commerce and finance with validation
  2. 02Warehouse — modelled around business questions, not source system layouts
  3. 03Semantic layer — one certified definition per metric, shared by every dashboard
  4. 04Quality gates — freshness, volume and anomaly checks with alerting
  5. 05AI readiness — governed access + retrieval indexes for agents and copilots
  6. 06Governance — access controls, lineage and retention aligned with regional rules

Technologies

PostgreSQLdbtManaged warehouseStreaming where freshness mattersSemantic layerBI dashboardsRAG indexesAccess governance

Projected outcomes

3 days → 0

weekly reporting effort — replaced by always-current dashboards (projected)

1

certified definition of every metric, everywhere

< 15 min

data freshness for operational dashboards (projected)

AI-ready

governed retrieval layer for agents and analytics

Solution Blueprint: a technical demonstration of how we solve this class of problem. Figures are engineering projections from comparable deployments, not a specific client’s results.

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