Oil and gas retail operations, such as Shell, BP, and Puma Energy, operate on low profit margins. They require a cost-efficient way to monitor inventories, deliveries, and prices. A combination of manual processes and legacy systems cause these companies to operate at higher costs, diminishing profitability. Cloud-based data analytics can provide an answer to these challenges by consolidating data from different sources, such as sensor data from tanks, delivery data from logistics systems, and pricing data from market forecast trackers. The consolidated data can then be analyzed in the cloud, enabling descriptive and predictive reports to be made available to operators, saving them time and cost in collection, analysis, and planning.
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