Is Big Data getting too BIG ???

Economists have termed this phenomenon "hyperbolic discounting." In a famous study titled "Paying Not to Go to the Gym," a couple of economists found that, when people were offered the choice between a pay-per-visit contract and a monthly fee, they were more likely to choose the monthly fee and actually ended up paying more per visit. That's because they over estimated their motivation to work out. Hyperbolic discounting is just one challenge of operating in a creative industry. Tastes are highly subjective, and the elements of plot and narrative that make one movie a tremendous hit could easily make another a critical and commercial failure. For decades, advertisers and marketers struggled to predict the consumption of leisure products such as movies and books. It's equally challenging to decide the timing. Which weekend should a studio release a new movie? When a publisher releases a hard copy of a book, how do they decide when to release the e-book version? Today, big data offers new visibility into how people experience entertainment. As a researcher who studies the impact of artificial intelligence and social media, there are three forces that stand out to me as especially powerful in predicting human behavior.

"We have all of the information that we want, however what is missing in corporations is folks with the business acumen to require what they learn from knowledge analytics and truly produce breakthrough opportunities for the business," said Don Sullivan, product line promoting manager for VMware.
In network observance and producing, we have machines talking to each other on production floors and end points in corporate networks talking to each other. The machines and endpoints collect and transmit valuable nuggets of information—but these nuggets also are embedded during a stream of no-account machine gibber. Does a network administrator need this?

Smart barcode labels will currently carry as several as seven,000 characters of data about an item. For example, a barcode on the sweater might tell you how many stitches a sweater is composed of. But does one want this if your job is simply to create certain that the item has left the manufacturer on time and can be at the warehouse or retail store in time for the holidays?

There are 2 primary trigger points for decreasing knowledge value:
1. Data begins to be produced without a business case for producing it.
2. Data is presented with so much complexity that users simply don't know what to do with it.

Companies that are on their game use both structured and unstructured data to build up their customer insights each step of the way. Data driven selling is what it's all concerning currently, and every organization must know the three V's of analysis if they want to get succeed.
Volume: The amount of data.
Velocity: The speed at which the info is generated.

Variety: The kind of data available.