A government agency responsible for economic development was operating with data scattered across 47 systems—ERP, CRM, licensing platforms, and legacy databases. Each department maintained its own reports, leading to conflicting numbers in executive meetings. Strategic decisions were delayed by weeks waiting for manual data reconciliation. The agency needed a single source of truth for operational and strategic intelligence.
Mapped all data sources, designed unified data model, and selected open-source stack (Kafka, Spark, Trino, Superset). Established data governance framework and quality standards.
Built data ingestion pipelines for 47 sources, implemented real-time streaming and batch processing, deployed data lake and warehouse. Established CI/CD for data pipelines.
Built 23 executive dashboards, 47 operational reports, and self-service analytics portal. Implemented role-based access control and audit logging.
Trained 12 departmental data teams on platform usage, SQL, and dashboard creation. Established data stewardship model and continuous improvement process.
Optimized event throughput, reduced API latency, and implemented intelligent traffic routing for scalability and reliability.
Centralized repository for raw, processed, and curated data with versioning and lineage
Kafka-based event streaming for real-time data ingestion and processing
Spark and Trino for batch and interactive analytics on petabyte-scale data
Real-time dashboards for KPIs, trends, and operational metrics across all departments
Data quality monitoring, lineage tracking, and compliance controls
Superset-based portal for departmental teams to build their own reports and dashboards
Transforming 47 point-to-point integrations into a governed integration platform
Reducing MTTR from 4 hours to 12 minutes through observability and automation
We've built data platforms for government agencies and enterprises across the GCC, turning data chaos into actionable intelligence. Let's discuss how we can unlock the value in your data.