User Manual

GreenBiz Group partnered with Siemens Building Technologies in an

extensive research study seeking to identify the impact of big data and

advanced analytics when it comes to managing enterprise-wide building

portfolios. The project included a quantitative survey of energy managers

from large corporations, hospital systems, governments and educational

institutions as well as in-depth interviews with 10 executives responsible

for enterprise energy management at their organizations.

The results highlight the early nature of using big-data analytics for

enterprise-level energy management. With a plethora of vendors making

wide-ranging claims, it’s not surprising that there are misconceptions. We

highlight three of the most pervasive “myths”:

MYTH 1:

One Size Fits All. There has been a proliferation of big-data analytics

solutions and visualization dashboards that claim to do all things for all

companies. The best advice is caveat emptor — buyer beware — as potential

solutions must be evaluated based upon the speciﬁc requirements of an

enterprise-wide building portfolio.

MYTH 2:

It’s All About Technology. Solutions for enterprise energy management

may provide critical information that can improve the performance of

an enterprise’s portfolio, but more important is the element of human

expertise needed to analyze various situations and take corrective action.

EXECUTIVE

SUMMARY