Terri Dean, chief membership officer at Girl Scouts of Eastern Pennsylvania, shares how they peeled apart all the layers of their data to uncover trend lines and increase retention.
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Where the Canadian National Railway used to rely on monthly data reports, they now operate more efficiently—in near-real time—with predictive analytics. IBM PureData for Analytics has enabled the company to apply logical insights from their data to save fuel consumption, predict shipments and keep
Phillippe Chartier, information delivery team lead at Canadian National Railway and this week's Big Data & Analytics Hero, tells us how they used to rely on monthly data reports, but now they operate more efficiently—in near real time—with predictive analytics. Canadian national Railway applies
I've spent more years than I want to admit on the business side of the insurance industry. In my current role I work on the value that big data and analytics can deliver to an insurer and, in turn, to their policyholders.
On the other side of things, I own insurance policies, just like most.
Mike Gualtieri, principal analyst at Forester Research, declares that, “consumers want to be treated like royalty.” This seems like a tall order. However, with all the data that customers share about themselves, the business that can quickly capture, analyze and act on this data “just in time, all
eHarmony uses IBM Big Data & Analytics to deliver personalized matches, quickly and accurately. Leveraging capabilities of IBM Watson Foundations, eHarmony drives the speed, performance and accuracy of its in-system analytics to identify compatible matches in real time.
How is this safari guide so well informed in regards to the white rhinoceros? Like researchers and environmentalists, he’s been given valuable insight through IBM InfoSphere Streams. And it’s more than just general knowledge about this endangered beast—it’s powerful information and insight that
Big Data & Analytics Heroes
Terri DeanChief Membership Officer at Girl Scouts of Eastern Pennsylvania
Terri Dean, Chief Membership Officer at the Girl Scouts of Eastern Pennsylvania and this week’s IBM Big Data and Analytics hero, shares how big data transformed how they retain members.
Big data has been the heart of predictive and real-time weather analytics from the start. Throughout all eras, meteorological models have greedily devoured every high-performance computing resource thrown their way. Leveraging these resources, fine-grained local weather forecasting may not be as
The excitement over big data has grown so dramatically as to assume the status of a movement. But what is the value, the function, the purpose? The most actionable thing to be gained from data is prediction. This is achieved by analytically learning from data how to render predictions for each
Roger Rea is on the hunt for the elusive black swan. Much like a cyber attacker, the black swan blends in, stays one move ahead and looks for its time to strike with a good prank. But Roger Rea is warming up to the black swan’s game; he’s learned that simply tracking where the black swan has been,