Q1 2013 Intelligence Quarterly: Big analytics brings big opportunities

Our world is changing at an unprecedented pace. Just look at the accelerated level of complexity surrounding the social, political, financial and environmental issues we are all faced with today. Daunting, perhaps, but with that comes the digital era that will turn these challenges into bright new opportunities.

Welcome to the beginning of a new year and the beginning of that digital age. Just as the industrial age brought us automation, or the ability to achieve greater output from fewer resources, the digital age brings us the ability to capitalize on our collective knowledge and outperform in effectiveness, efficiency and innovation. With 90 percent of the world’s data created in the last two years, most organizations are still discovering the potential within internal data and, perhaps more importantly, within big external data.

In the latest issue of Intelligence Quarterly, you'll learn how big analytics can enable data and help organizations capitalize on the complexity by leveraging the collective knowledge. Traditional tools make this task overwhelming in today’s complex world, but big analytics can transform the challenges into opportunities by enabling organizations to take smarter actions faster.

Within the pages of this journal, you’ll discover examples of how big analytics will enable businesses and agencies to harness big data, make more accurate predictions and improve outcomes, and be more agile in acting on reliable insights. Regardless of sector or size, I invite you to explore the ways in which big analytics will leverage collective knowledge into a 2013 full of new opportunities.

One Trackback

  1. [...] SAS Global Forum is one of the largest user-based conferences, and it has amassed a lot of treasure over the past three decades. Each year, the locale and the conference theme change to meet the current needs of SAS users. While the 80’s "large volumes" may have been associated more with the "big hair" trend, the 2013 conference was fashionably bigger and interested in large volumes of another kind--Big Data and Big Analytics! [...]

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