User Manual

the depth of datasets in a consistent enough manner with a high degree

of conﬁdence about accuracy such that analysis at the portfolio level is

useful.”

MGM’s Magee notes, “The biggest challenge is really logistical in the

sense that we’ve got a lot of equipment that has no sensors, has no control

ability, and it’s extremely difﬁcult to get the data out of. So sometimes we

have a very incomplete picture.”

That doesn’t even take into account data that is not capable of being easily

automated, such as repair and inspection records, certiﬁcations or tenant

complaints and requests. Marty Sedler, Intel Corporation’s Director of

Global Utilities and Infrastructure, underscores the problem. “You have to

put in so much assumed data that it’s only as good as the curves and the

models, and the updates that you keep on it. And if you don’t update it

with the right data, it gives you the wrong answer… A ton of data doesn’t

do any good if it doesn’t turn into information.”

Implementing an enterprise-wide big data analytics solution requires more

than utility bill and meter data. Integrating processes and technologies

that collect more robust data will lead to a more strategic solution.

Only 33 percent

of owners

report capturing

equipment-level

data.