A leading GCC multi-format retailer with 200+ stores modernized their entire data estate — moving from legacy on-premises warehousing to a cloud-native data lakehouse on Azure, enabling real-time inventory, pricing, and customer intelligence at scale.
The client — a leading GCC retail conglomerate operating hypermarkets, convenience stores, and fashion retail across UAE, Saudi Arabia, and Kuwait — had grown through acquisition, inheriting seven different ERP systems, three POS platforms, and a fragmented data warehouse landscape spanning on-premises Oracle Exadata and multiple departmental SQL Server databases.
The business consequences were severe: finance reports took 3 days to produce, inventory teams had no real-time visibility across stores, pricing decisions were based on week-old data, and the analytics team spent 70% of their time on data preparation rather than insight generation.
The business was losing an estimated AED 15M annually to stock-outs and overstock situations that real-time inventory intelligence could have prevented.
Anlage Digital designed and delivered a phased data modernization program over 12 months, anchored in a modern data lakehouse architecture on Microsoft Azure.
Phase 1 — Foundation (Months 1–3): We established the Azure data landing zone, implemented Azure Data Factory for ingestion from all seven ERP systems and three POS platforms, and landed raw data into Azure Data Lake Storage Gen2. We deployed a unified data catalog using Microsoft Purview to inventory and classify 2,400+ data assets.
Phase 2 — Transformation (Months 4–7): We built the medallion architecture (Bronze → Silver → Gold) using Azure Databricks with Delta Lake. dbt models standardized business logic across domains — inventory, sales, customer, supplier. Real-time inventory updates were implemented using Kafka-based event streaming from POS systems.
Phase 3 — Intelligence (Months 8–12): Azure Synapse Analytics served as the enterprise analytics layer, powering Power BI dashboards for store operations, finance, and supply chain. We delivered ML models for demand forecasting (reducing forecast error by 22%) and automated reorder point calculations.
Whether you're a retailer, bank, or healthcare organization — if your data is holding back your business, Anlage Digital can help. Let's start with a 2-hour discovery call.
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