Solution Energy
Predictive HSE Analytics for Energy Operations
An HSE analytics platform consolidates incident, near-miss, audit and behavioral data and uses machine learning to predict risk hotspots for energy companies.
-40%Recordable incident rate (trir)
3xNear-miss reporting volume
-70%Root-cause analysis time
Typical outcomes for this kind of engagement. Results depend on your data and starting point.
THE CHALLENGE
HSE data is scattered across incident tools, contractor systems, audit spreadsheets and observation cards, so leading indicators are effectively invisible.
- HSE data fragmented across employee, contractor and asset-level systems
- No central view of leading indicators such as near misses
- Under-reporting of near misses on slow paper forms
OUR APPROACH
CloudGate unifies every HSE data source on Microsoft Fabric, including incidents, near misses, audits, permits, observations and contractor records, with mobile-first reporting through Power Apps.
- Mobile-first incident, near-miss and observation reporting via Power Apps
- Unified HSE lakehouse on Microsoft Fabric spanning employee, contractor and asset data
- ML-based risk hotspot prediction by site, crew, contractor and task type
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