GE has already begun to offer its “Industrial Internet” software and analysis platform to other firms, and has even developed new big data marketing labels: “Predicity” and “Datalandia.”

They use not only data management tools like Hadoop, Pig, and Hive, but also open-source statistical software like R. As

advanced analytical algorithms to drive better prediction, thus optimizing customer offers and pricing.

They are a means of embedding analytics into key processes and employee behaviors.

it hadn’t yet marshaled the resources and time to create an enterprise warehouse for clinical data.

that supports ready insight to enterprise and external data.

The data sources on multichannel customer journeys are unstructured or semistructured. They include website clicks, transaction records, bankers’ notes, and voice recordings from call centers. The volumes are quite large—12 billion rows of data for one of the banks.

They’ll simply have to turn their gaze outward—to suppliers and their suppliers, to customers and their customers, and to business and political risks. And,

What is ultimately important about big data technology is how it can bring value to your organization—lower the costs and increase the speed of processing data, develop new products or services, or allow new data and models for better decision making. However, a few paragraphs here on big data