A government entity in Saudi Arabia was managing multiple disconnected data systems across ministries, limiting visibility, slowing decision-making, and increasing infrastructure costs.
- Services: Unified Data Platform
- Client: Unified Data Platform
- Location: Saudi Arabia (KSA)
- Completed Date: 20-12-2025
Business Problem
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14+ siloed data systems across departments
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No unified reporting or analytics layer
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High infrastructure and duplication costs
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Lack of governance and data standardisation
Solution Delivered by AIST
AIST designed and implemented a centralised cloud-native data lakehouse platform:
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Consolidation of all data sources into a governed lakehouse
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Data pipeline orchestration using Airflow
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Transformation layer using dbt
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Scalable analytics using Databricks
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Dashboarding via Power BI
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Deployment on AWS cloud infrastructure
Architecture Overview
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Ingestion Layer: Multi-source batch + streaming ingestion
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Lakehouse: Bronze, Silver, Gold layers (Medallion architecture)
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Transformation: dbt for business logic modelling
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Analytics: Cross-ministry dashboards and KPIs
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Governance: Data lineage, cataloguing, access controls
Key Capabilities Delivered
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Unified data model across ministries
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Real-time and batch analytics capability
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Centralised governance and compliance framework
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Cross-functional reporting and insights
Business Outcomes
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30% reduction in operational data costs
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Single source of truth across government entities
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Faster policy and decision-making cycles
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Improved data governance and compliance
Technology Stack
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Databricks
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Airflow
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DBT
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Power BI
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AWS