February 2012

February 2012: The Year of Analytics; The Three V's of Big Data

2012: The Year Analytics Means Business
Timo Elliott
http://timoelliott.com/blog/2012/02/2012-the-year-...
by Timo Elliot
2012-the-year-analytics-means-business

The real trend this year is not the technology. It’s about helping business people make better decisions, and actually change the way companies do business. Analytics has always been about transforming business, but the recent huge changes in analytic technology have created interesting new opportunities for business innovation.

Most organizations are now starting to understand the technical opportunities, but many struggle to apply those new opportunities to their business processes. This blog post attempts to explain what’s going on in the analytics market and give concrete examples of how other companies have implemented the new technologies in “game-changing” ways (sorry kittens).
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Super Bowl Analysis Takes Us Beyond the Tweets
An Upset in the Making
http://asmarterplanet.com/blog/2012/02/super-bowl-...
by John Squire, IBM
Brady vs Manning

On the Friday before the Superbowl, IBM's John Squire posted two analyses of the Social Sentiment Index for Tom Brady and Eli Manning, two days apart. Over the week before Superbowl XLVI, Manning's popularity rose over Brady's.

This day-to-day shift in Super Bowl fan sentiment illustrates the speed at which consumer sentiments can shift online — a factor that businesses are watching closely due to the potential impact on their brand equity and sales.

By applying analytics in social media settings we can identify nuances – positive, negative, irony, snarky vs. sincerity, in real-time. That’s enough time to help an organization, or in this case professional athletes, adjust their comments and actions to dramatically (and positively) impact their brands.
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The Vagaries of the Three Vs
What Is Really Unique About Big Data
http://www.b-eye-network.com/blogs/eckerson/archiv...
by Wayne Eckerson

Most people define "big data" by three attributes: volume, velocity, and variety. These describe the main characteristics of big data, but aren't exclusive to it. Many data warehouses today exhibit these same characteristics. This article drills into these attributes and shows what's common and not between data warehousing and big data environments.
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