The power of Correlating Data

These are some examples of Insights that can be obtained by correlating data from different solutions

  • Fire Alarm and CCTV

    By capturing and analyzing CCTV footage when a fire alarm is triggered, clients can quickly verify fire incidents, ensuring timely and accurate responses, enhancing safety, and minimizing false alarms.

  • People Counting and Sales Data

    Correlating people counting sensor data with sales transactions allows clients to calculate conversion rates, optimize staffing, and adjust marketing strategies to improve sales and customer experience.

  • Energy Usage and HVAC

    Analyzing energy consumption patterns alongside HVAC performance helps clients optimize HVAC settings, reduce energy costs, and maintain comfortable indoor environments.

  • Access Control and Security Alarms

    Enhancing security by verifying unauthorized access attempts with corresponding security alarms enables clients to respond swiftly to potential breaches, improving overall site security.

  • Generator Status and Fuel Levels

    Identifying inefficiencies by comparing fuel consumption data with generator usage ensures optimal fuel management, reduces costs, and prevents fuel theft or wastage.

  • Water System and Energy Data

    Detecting potential leaks by correlating unexpected energy spikes with water system activity helps clients conserve resources and prevent water damage, optimizing overall system efficiency.

  • Fire Detection and Environmental Data

    Enhancing fire safety by linking smoke detector alerts with temperature and humidity data allows clients to quickly identify and address fire hazards, improving emergency response and safety measures.

  • False Alarm Detection

    Determining false alarms involves correlating a decline in fuel levels with alarm system alerts, access control data, and ensuring the generator is off. This scenario helps in identifying potential false alarms related to fuel theft or unauthorized access.

  • Engine Failure Validation

    This scenario involves validating potential engine failures by correlating data from noise levels, vibration sensors, and heat readings. When an engine starts exhibiting abnormal noise levels, excessive vibrations, and unusual heat patterns, it could indicate an impending failure.