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to focus on resource use and waste and recycling issues using the same model they used to analyze
energy. According to Grainger’s Senior Manager, Corporate Facilities and Global Sustainability Jeff
Rehm, “Weve had positive results in terms of measuring, tracking, and changing behaviors around
how we manage waste in the facilities and that is directly related to how we’ve staffed up.
The technology to improve your enterprise-wide portfolio is only as good as the engineers and staff
that support your efforts on a daily basis. Budget effectively for supporting the insights gained from
implementing big data analytics.
10
Three Big Myths About Big Data © 2014 GreenBiz Group Inc. www.greenbiz.com.
MYTH 3: DATA EQUALS
INFORMATION
In our research, utility bill and meter data is the
most collected data (96 percent and 85 percent
respectively), followed by building automation
system data (54 percent) and waste management
data (52 percent). But there is a lack of confidence
in much of the data collected.
About half of our survey respondents (49 percent)
are not satisfied with the quantity and quality of
the data they are collecting. For those who have
already implemented an energy management
dashboard, 44 percent are not satisfied with the
data they are getting, while 62 percent of those
planning to utilize a dashboard are not satisfied
with their portfolio data.
Bentall Kennedy’s Gray-Donald explains, “The hard
part is getting clear and consistent data across
a broad range of geographies, asset types, and
across a number of years. There hasnt typically
been the same rigor to nonfinancial data as there
has been to financial data.
He continues: “So, big data is great. It’s actually
very easy to understand correlations if you have
the data. But other than one or two European
organizations, I haven’t heard of anyone having
96%
85%
54%
52%
38%
37%
33%
27%
24%
13%
3%
Utility bill data
Meter data
Building automation system data
Waste management data
Weather data
Energy Star data
Equipment level data
Lease/mortgage data
Energy market data
Plug load data
Other
What type of building/portfolio data do you collect?