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Big Data

Big data analytics is defined as data sets that go beyond the capacity of conventional databases. Big data usually relates to collecting massive information about the world. Data collected can be too big, streams too fast, or arrive in a structure that cannot be easily analyzed. The idea around big data is that new techniques and approaches are needed to deal with these new types of information. If analyzed correctly, this massive amount of data can give new insight that can help differentiate your business. The sort of technology needed to analyze and process large data sets has been around for some time but only available to a few companies with deep pockets. New technologies leveraging commodity hardware and scale via cloud computing have made big data analysis available to smaller companies, startups, departments, and individuals.11

What Is Unique about Mobile and Data?

Cloud-enabled data analysis gives mobile the information context that can enhance the social and mobile experience. Advanced analytics, stream processing, Hadoop, and other technologies have given businesses unprecedented power to analyze complex behavior within manageable costs.

People are sharing information through their social interactions—information about the latest project, best practices, and latest data. Customers provide information about their preferences through buying and searching behavior. Harnessing this information gives businesses unprecedented insight into the behavior of their customers and how to empower their employees to be more efficient. Mobile increases the volume, velocity, and variety of data and gives it greater context and relevance.

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