Enhancing Asset Management through Data Analytics
- The client is a leading oil and gas firm operating in Southeast Asia, renowned for its extensive network of refineries and distribution centers
- Faced with the challenges of fluctuating oil prices and the need for optimized asset management
- To create a predictive maintenance strategy that could forecast potential equipment failures and optimize maintenance schedules
- Conducted interviews and workshops to gather detailed requirements, including current pain points, desired outcomes, and existing data infrastructure
- Define and measure key performance metrics such as downtime reduction, cost savings, equipment availability, and safety improvements
- Design interactive dashboards and visualizations to present key insights and KPIs related to asset health, maintenance schedules, and predictive alerts
- Implement mechanisms for real-time data processing to continuously update models with new data inputs and ensure up-to-date predictions
- By implementing recommended enhancements:
- – Achieved a 17% reduction in unplanned downtime across critical assets
- – Increased equipment availability
- Real-time insights into asset health enabled more informed decision-making and improved utilization of resources
- Enhanced safety protocols, contributing to a 25% decrease in safety incidents due to asset failure
