Leveraging Big Data to Drive Value

Categories: Facilities Maintenance

Facilities Management Providers Leveraging Data to Drive Value

In years past, managers operated in the proverbial dark making changes as they were needed. Key decisions were made in a reactionary mode as opposed to being proactive and in the process, valuable resources were sacrificed. A significant paradigm shift is afoot as the time-tested truism that says knowledge, or in this case, big data, is power has been adopted by the vast majority of market leaders.

Harnessing data has the potential to generate a number of different opportunities in key areas that impact the day to day operations at a facility. From customer service to energy management to business value, access to data allows managers to increase the functional capabilities of the facility that is being served. The improved sophistication of buildings means that consistent maintenance will be required and as such, managers can now be proactive, as opposed to years past when they were forced to be reactive. This will increase operation efficiency tremendously while also driving significant year-to-year cost savings. Research, analysis and data compilation can offer a wide range of operational insights including the following:

  • Predicting the future: Data and analytics can help track and fix future power patterns including outages and failures among other things. Systems integration can assist in this area as they enhance interoperability and allow data to be more readily accessed across different parts of the facility.
  • Energy consumption benchmarking: Greater efficiency can be achieved through data comparison as it allows managers the ability to conceptualize waste and energy reduction methods.
  • Improved output and performance: Capturing data that is accurate and using it in a manner that is transparent can unlock immense amounts of value for facility managers. Smart sensors and meters allow facilities to seamlessly access data and produce solutions that conserve energy and save on cost. An example of this would be reducing energy during non-peak hours; a solution and decision that would be driven based purely on the data that is delivered.

Big data is growing annually by leaps and bounds, with changes being forecasted based on the dynamics of the market. By marrying the worlds of historical data and technology, meaningful insights can be gained that have the potential of delivering value that lasts.