The Age of Big Data

The Age of Big Data is an article at NY Times Sunday Review by Steve Lohr. Some of the key takeaways,

They help businesses make sense of an explosion of data — Web traffic and social network comments, as well as software and sensors that monitor shipments, suppliers and customers — to guide decisions, trim costs and lift sales.

And of course, something like this means jobs as welll…

A report last year by the McKinsey Global Institute, the research arm of the consulting firm, projected that the United States needs 140,000 to 190,000 more workers with “deep analytical” expertise and 1.5 million more data-literate managers, whether retrained or hired.

As for the impact

The story is similar in fields as varied as science and sports, advertising and public health — a drift toward data-driven discovery and decision-making. “It’s a revolution,” says Gary King, director of Harvard’s Institute for Quantitative Social Science. “We’re really just getting under way. But the march of quantification, made possible by enormous new sources of data, will sweep through academia, business and government. There is no area that is going to be untouched.”

and

Research by Professor Brynjolfsson and two other colleagues, published last year, suggests that data-guided management is spreading across corporate America and starting to pay off. They studied 179 large companies and found that those adopting “data-driven decision making” achieved productivity gains that were 5 percent to 6 percent higher than other factors could explain.

Finally, if you thought that our lives are going to get easier, be aware

Big Data also supplies more raw material for statistical shenanigans and biased fact-finding excursions. It offers a high-tech twist on an old trick: I know the facts, now let’s find ’em. That is, says Rebecca Goldin, a mathematician at George Mason University, “one of the most pernicious uses of data.”

It’s like the Wild wild west all over again.