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The university requires a centralized system to visualize complex energy consumption data from multiple sources. Current challenges include difficulty in interpreting raw meter readings, lack of real-time monitoring capabilities, manual reporting inefficiencies, and poor user navigation for facility managers.
A large educational institution seeking to optimize campus energy consumption through advanced data visualization and automated reporting tools.
The implementation will enable 30% faster energy consumption analysis, reduce manual reporting time by 60%, and improve energy optimization decisions through actionable insights. The system will support sustainability goals by identifying 15-20% potential energy savings annually while enhancing operational efficiency through automated data visualization and AI-assisted navigation.