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The client struggles with managing massive volumes of real-time data from thousands of interconnected components on underwater drilling platforms. Current systems lack capabilities for proactive anomaly detection, predictive maintenance forecasting, and real-time decision support, leading to potential operational inefficiencies and safety risks.
A global energy company specializing in offshore drilling operations
Implementation of this predictive maintenance system is expected to reduce unplanned downtime by 40-60%, decrease maintenance costs through proactive interventions, enhance operational safety via real-time alerts, and improve decision-making through actionable analytics. The dual storage architecture ensures data availability in both connected and offline environments, critical for offshore operations.