“Initially, I didn’t see much of a distinction [between business analytics and big data], and I thought that I could kind of rest on my laurels and not write a book about big data—because the fact is that the analytical tools and approaches used are not all that different for big data. But when I started talking to companies and data scientists, I realized that there really were some fairly substantial differences—some that have yet to be fully articulated and some that are already in evidence.”
Over the previous generation, successive waves of new information technology – from the introduction of personal computers to the Internet to wireless broadband and diverse mobile devices – have enabled dramatic gains in workplace productivity. Today, in a period of widespread economic uncertainty and diminished expectations of the future, skeptics wonder if the tech-driven productivity gains of recent decades have run their course.
How can employers mitigate the escalating costs of health care while providing a benefits program that meets the needs of their employees? By becoming data rich and making data analytics meaningful to their workforce.
The 2012 Techonomy conference in Tucson from Nov. 11 to 13 promises to be one of the more interesting executive-level technology conferences of the year. One of the most interesting angles or themes at this year’s conference is how innovators around the globe are actually using Big Data and applying data science to solve global problems and increase the value that their enterprises create.
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