Promotions on the spot

Serendipity at the supermarket occurs when you spot your favorite cereal and have the coupon in hand. More likely, though, you have to hunt for your coupon, only to discover that it expired last week. At that point, you can either pay up or settle for the cheaper generic -- unless, that is, you're able to get a coupon on demand.

This third option, available at some stores by a company called VisibleBrands, is one made possible by analytics.  Read more in 

'Clipping' Coupons as You Need 'Em 

Big Data Health Hazards

If anything can go wrong, it will." Murphy's Law (or Sod's Law, as it is known in the UK) applies to big data projects, as well. When those projects concern someone's health, something going wrong in the data can lead to something going very wrong with the patient.

The more one relies on the accuracy of the system, the higher the potential for error. Electronic health records (EHRs) are considered a boon to data aggregation, but they hold a potential downside.  Read more here

IT and business don't always agree on big data

Not all decision makers within an organization are on the same page with respect to big data plans. The disparity is due to the different perspectives of the business and IT end of the organizations.

Read more: IT, business have different views on data - FierceBigData 

When Big Data becomes Big Brother

You are being watched. Does that make you feel safe or make you feel exposed? The answer to that question determines whether people applaud or decry New York City Mayor Michael Bloomberg's latest initiative. Not everyone is ready to surrender their privacy to Big Data even for a system supposedly designed for their own good. 

Read more: When big data becomes big brother: New York City's system for crime prevention - FierceBigData http://www.fiercebigdata.com/story/when-big-data-becomes-big-brother-new-york-citys-system-crime-prevention/2012-08-30#ixzz25iNx32rh
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Technology and education blogs

I wrote about Coursera's innovation in the online education and the possibilities of automated readers for writing assessment