User Manual

MYTH 2: IT’S ALL ABOUT TECHNOLOGY
While many of the components and software packages
that support big-data analytics and data visualization
can be deployed today, the missing ingredient for many
companies is the people necessary to do the work. In
our survey, 67 percent of respondents claimed that a
“lack of resources to help implement and manage a
solution” is delaying their technology purchase.
According to James Gray-Donald, VP Sustainability at
Bentall Kennedy, one of North America’s largest real
estate investment advisors, “I think it’s important to
assess the readiness of people at the property level for
big data. Is there the literacy, willingness and skill set
to transition to digital technologies? I think that’s the
largest constraint that we face and will continue to face
despite having rich energy performance data available.
MGM’s Magee agrees. “You have to continually
evaluate whether you have the right resources. Do
you have the team that’s going to be able to effectively
respond when you get alarms or highlights, who will
come up with the proper remedy, and do you have the
right kind of team structure at that particular facility?”
One executive adds, “Ultimately the data is the data,
but you need that human interaction, the people
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Three Big Myths About Big Data © 2014 GreenBiz Group Inc. www.greenbiz.com.
to maximize the value of that data, whether it’s
somebody telling the system what to do under
certain scenarios or somebody that’s directly acting
because of the data they’re getting.
That can be a challenge. As another interviewee
noted, “We’re a $4.6 billion company and I am
the entire energy management team.Another
energy manager related that, “Probably the biggest
challenge I face is just having the time to actually
sit down and look at the data and make changes or
see what’s wrong.
NRELs Commercial Buildings research group hosts
a wide range of organizations at its facilities. As a
result, Steve Frank hears a lot of stories about how
companies cope with energy issues. “Whether
it’s a university or a retail chain, one common
mistake they make is that they dont allocate
sufficient resources to address the issues as they
come up. In those cases, you don’t get your return
on investment, because the energy information
system is telling you that things are wrong, but
you’re overwhelmed and cannot deal with them.
Some forward-looking companies are adding staff