Proactive Intervention and Response
Real-time Safety Management
Supply Chain Resilience and Optimization
Resource Utilization and Optimization
Energy production and delivery can optimize operations by identifying and responding to spikes and dips in energy consumption and deviations from process procedures.
Using IoT devices, data historians, rules, and data science, energy companies can identify abnormal conditions in real time and raise alarms before events turn into critical issues.
Using real-time energy data, detect process issues immediately and predict undesirable states before they happen. Drive systems to respond proactively.
The energy industry is moving towards real-time automation—necessary for minimizing risk exposure and avoiding incidents, discrepancies, and major accident hazards (MAH).
Enhance operational intelligence by capturing sensor data in real-time, operationalizing and displaying it on dashboards, and modeling future probabilities.
To stay better informed on markets, downstream energy and utility companies need 360-degree views of consumption patterns, behaviors, and needs.
Utilities can improve customer interaction through personalized, event-driven marketing, using demographics and data science to target customers for the best possible engagement.
In today's competitive world, data is the backbone for the energy industry. Aggregating and analyzing data across the entire value chain is key to optimizing processes, performance, and profit. Agility in the supply chain and operations is paramount now more than ever.
The energy industry uses a multitude of complex processes that need varied, sometimes siloed, data assets. Integrating all data sources allows for people, equipment, technology, and processes to be coordinated in ways that improve yield, reduce costs, minimize downtime, and increase employee satisfaction.