The value of analytics software is to automatically analyze data from automation and control systems, metering systems, sensors and other smart devices to identify issues, patterns, deviations, faults and opportunities for operational improvements and cost reduction. With deployments to over 1 Billion sq. ft of facilities worldwide customers regularly see energy and operational savings in the range of 5-25% and financial paybacks in under 1 year.
We hear lots of talk about the “cloud” as it relates to the IoT and data analytics solutions for the built environment. While the cloud plays an important role, the reality is that it is not possible, cost effective or desirable to transmit every piece of data from our devices to the cloud in order to gain value from the data.
Software functions need to be able to reside at every level of the architecture from the “edge” – for example, on a piece of equipment in an electrical closet or equipment room, to the building level where data from multiple smaller nodes can be collected, aggregated and analyzed.
This presentation will review the capabilities and benefits of deploying advanced analytics from the edge to the cloud to achieve the goals of data driven, responsive, intelligent facilities.