Data Intelligence for a Complex Energy Enterprise
Major oil and gas enterprise, UAE
A Microsoft Fabric data transformation programme turned a complex, multi-domain energy data landscape into a governed platform for operational intelligence.
- Operational, commercial and corporate data unified for the first time
- Cross-functionalOperational, commercial and corporate data unified for the first time
- Foundation established for predictive maintenance and operational AI
- ScalableFoundation established for predictive maintenance and operational AI
The challenge
What was going wrong
A major oil and gas enterprise in the UAE required a scalable analytics platform capable of integrating operational, commercial and corporate data across a complex technology landscape spanning field operations, asset management, maintenance, supply chain, finance, health and safety, engineering and production systems. Data remained distributed across multiple platforms, limiting cross-functional analysis and delaying decision-making.
Our approach
What we built
- 01
Designed an enterprise data architecture with centralised data ingestion, OneLake, domain-aligned lakehouses, data pipelines and engineering, warehouse capabilities, Power BI semantic models and data science workspaces.
- 02
Prioritised data domains across production reporting, asset performance, maintenance intelligence, procurement, inventory, HSE reporting, financial analysis and executive performance dashboards.
- 03
Introduced controls for data classification, role-based access, sensitive-data segregation, data ownership, quality, lineage, auditability, retention and environment governance.
The outcome
What changed
- Improved visibility across operational and corporate data and reduced dependency on manually consolidated reports.
- Faster executive reporting and better collaboration between data teams and business functions.
- Greater consistency of business metrics and improved data lineage and governance.
- A scalable foundation for predictive maintenance and operational AI, and better utilisation of Microsoft data and analytics investments.
