Connecting the Dots: Integrating Utility Data for Smarter Hotel Operations & Insights
Break down data silos in your ZA hotel. Augos integrates granular utility data with PMS, BMS, and CMMS insights, providing the holistic KPIs needed for optimal efficiency and maintenance.
The Challenge: Siloed Hotel Data
Modern hotels rely on complex technology stacks, yet crucial information remains fragmented. The lack of integration between core operational systems—specifically around real-time, granular utility consumption—hinders proactive management and masks significant inefficiencies.
Your PMS knows who is in the building but not the specific energy cost. Your BMS controls climate but lacks the data to verify if control strategies work. Your CMMS tracks maintenance but cannot quantify energy savings. When data is siloed, managers cannot answer: Was last week's high bill due to occupancy, a faulty chiller, or poor BMS scheduling?
The Augos Solution: The Utility Data Hub
Augos serves as the accessible Utility Data Hub, providing the precision sub-metering necessary to enrich and contextualize the data from your existing systems.
Data Integration Matrix
The Result: Holistic Hotel Performance Visibility
Breaking down data silos delivers tangible, cross-departmental benefits. Move beyond basic averages to gain a comprehensive, real-world picture of how occupancy, operations, and maintenance truly interact to influence utility costs.
Empower managers across Engineering, Operations, and Finance to make smarter decisions regarding capital investments, operational tuning, and maintenance priorities based on verifiable KPIs. A South African hotel group identified a 12% water wastage reduction by correlating CMMS data with Augos utility data, proving faulty maintenance work.
Key Takeaways
Connect PMS, BMS, and CMMS with precise utility data for complete visibility
Calculate accurate Utility Cost Per Occupied Room for better forecasting
Verify that BMS control strategies deliver measurable, real-world savings
Link maintenance activities to consumption changes for data-driven decisions