The Oil & Gas industry has reached an inflection point where the role of an operator is now about delivering safer, more resilient operations in real time. However, critical AI and analytics initiatives often stall because the underlying data remains siloed, operationally sensitive, and difficult to trust.
This eBook reveals how a logical data management approach creates a trusted, AI-ready foundation. By connecting distributed data without moving it, organizations can publish reusable data products that turn raw operational signals into business-ready intelligence.
Inside the guide: Validated outcomes from global energy leaders
- Enhance Safety: Achieve 20 to 30 percent faster anomaly detection to support asset health.
- Extreme Performance: Reduce complex query times from 30 minutes to approximately 5.
- Rapid Deployment: Build and publish mission-critical data models in two weeks rather than two months.
- Standardized Governance: Apply consistent control and security across 15 technical domains.
- Auditable Compliance: Streamline ESG and emissions reporting with accurate, trusted environmental insights
