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Monthly Archives: June 2013

Big data helps healthcare firms save lives

Richard Jones Archive
Public health officials can also use data-driven tools to create a better quality of life for medical patients.

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Roundup of May news articles

Richard Jones Archive
May was a busy month, as a series of major discoveries in the big data world helped further advance technology and make the business world more competitive. Here’s a look at a few storylines that were on everyone’s minds this past month.

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Big data can transform customer service initiatives

Paul Newman Archive
Here are a few ways marketing and customer service can benefit from the data revolution.

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Big data has the power to transform e-commerce

Paul Newman Archive
Information mining and data quality can have major effects on e-commerce. Those who climb aboard the bandwagon will help their bottom lines for years to come.

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Effective data analytics can shape online banking strategies

Richard Jones Archive
Customer service is the key to ensuring people’s loyalty over time. Data has become a fundamental part of giving people the attention they deserve.

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Companies must work to keep their data secure

Paul Newman Archive
One often neglected side of big data analytics is security - considering the large quantity of information companies are often working with and the importance of that information to future success, one can never be too careful about keeping data secure. Data can be threatened in a great number of ways. Files can be lost if they’re mishandled by negligent employees, or perhaps worse, they can fall victim to outside attacks from hackers.

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How big data analytics is revolutionizing retail

Paul Newman Archive
A generation ago, retail was simpler, as more locations unequivocally meant more success. But in today’s landscape, some executives are choosing to move their business to the e-commerce realm and reappropriate their physical real estate to build more data centers. Rather than focusing on serving customers in the flesh, executives are turning their attention to information mining, data quality and analytics.

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