May 19, 2015
June 19, 2015


In today’s cities from Miami to Los Angeles to Chicago to New York, the symbols of man’s technology and innovation are often represented by large, commercial buildings, frequently perceived to be defining landmarks. These are typically hotels, hospitals, airports, universities, sports arenas and big commercial properties at-large. Logic might lead one to believe that these large assets are managed and made efficient with the latest and most advanced computational power and analytics available today to owners and manager, but the reality is very different. The majority of these assets are managed with simple premise-based PC’s, or at best web-based PC applications, usually located on a machine under a desk in the Engineering Office.

Simply, these computers are nothing more than weigh-stations for the data that is provided by the point-to-point sensors in place in virtually all large properties and supposed “smart buildings” worldwide. With little computational power and ever increasing data sets, in short, for HVAC, Water or Lighting, how is the end-user supposed to poll, process, analyze, validate and retrieve this data as actionable intelligence that translates to energy cost savings? The answer is cloud-based energy analytics and energy and cost-focused business intelligence.

Below are the top 10 reasons buildings should leverage cloud-based applications:

Cloud allows the ability to scale-up any processing or analytics requirements on-demand, real-time, without the limitation typically associated with premise-based hardware.
Disaster recovery is improved when companies start relying on cloud-based services, they no longer need complex disaster recovery plans. Building manager can access information from remote locations during emergencies.
Automatic software updates simply get products to the field faster. In 2014, companies spent an average 18 working days per month managing on-site security alone. Cloud computing suppliers do the server maintenance, including security updates freeing up their customers’ time.
The ability to provide more processing / analytics agility to adapt to new application and innovate management techniques.
The ability to place application volatility into a single domain…the cloud.
The ability to reduce operational costs, eliminating capital expenses, allowing quicker adoption thereby increasing application effectiveness.
The ability to manage and process huge data sets.
The ability to create custom enhancements and meet tactical tenant needs more quickly.
The ability to shift capital dollars to other places needed by the building or business.
The ability to balance processing between on-premise and cloud systems where needed.

For the most fundamental reasons, including the limited processing power of the PC and web-based applications, point-to-point data polling of a BMS, the unlimited processing power of the cloud, and all of the above, if an energy analytics or business intelligence applications isn’t truly cloud based, it will not be as successful or reduce monthly energy spend as effectively as possible. It won’t even be close.