Big Data: How The Information Revolution Is Tra... Here

In the past, data had to be meticulously cleaned because any error in a small sample was catastrophic. With massive datasets, a sense of general direction is often more valuable than knowing a phenomenon down to the "inch or atom".

Companies like Netflix and Amazon use "data exhaust"—the trail of digital interactions we leave behind—to forecast hits and provide personalized recommendations. Secondary uses of data, such as using global transaction records to forecast GDP, often hold more value than the data's original purpose. Big Data: How the Information Revolution Is Tra...

Despite the benefits, Mayer-Schönberger and Cukier warn of a "dark side": In the past, data had to be meticulously