User Manual

as weather, occupancy and production schedules
as a building’s performance is continuously and
automatically optimized.
It is a compelling vision of the future, but we’re
just in the early stages of realizing the impressive
benefits that can come from the use of analytics
and data visualization in the built environment.
To get a better understanding of what is being
implemented today and what enterprise energy
managers envision for the future, Siemens
commissioned GreenBiz Group to conduct
primary research on the use of big data and
analytics for enterprise energy management.
GreenBiz Group conducted a quantitative survey
of close to 800 energy managers from large
organizations and received responses from 94 of
those managers across a wide range of industries.
We then conducted in-depth interviews with
10 executives responsible for enterprise energy
management at their organizations.
Not surprisingly, close to 100 percent of survey
respondents seek to reduce operating costs and
increase energy efficiency. And all of those with
the largest portfolios (1,000 or more buildings)
indicated that improving occupant comfort was a
key goal.
But when it came to big data and analytics,
only 44 percent of respondents currently have
a dashboard to visualize building/portfolio data
across their enterprise, while roughly the same
number (43 percent) would like to utilize a
dashboard in the near future but don’t have one
currently. The larger the organization, the more
likely they are to have a dashboard in place.
5
Three Big Myths About Big Data © 2014 GreenBiz Group Inc. www.greenbiz.com.
99%
94%
80%
72%
63%
41%
Reduce operating costs
Increase energy efciency
Meet corporate sustainability targets
Improve occupant comfort
Improve equipment reliability and useful-life
Achieve compliance mandates
What goals does your organization hope to meet through the
management of your enterprise real estate portfolio?