Cutting Through Data Science Hype
An anonymous reader writes: Data science — or "big data" if you prefer — has evolved into a full-fledged buzzword, thanks to marketing departments around the world. John Foreman writes that part of the marketing blitz has been focused on how fast big data analysis can be. Most companies offering some kind of analytic service try to sell you on how it'll make it easy for you to quickly find and fix the problems with your business. But he points out that good, robust models need a stable set of inputs, and businesses often change far too quickly for any kind of stable prediction. He takes IBM's analytic services as an example, quoting Kevin Hillstrom: "If IBM Watson can find hidden correlations that help your business, then why can't IBM Watson stem a 3 year sales drop at IBM?" Foreman offers some simple advice: "Simple analyses don't require huge models that get blown away when the business changes. ... If your business is currently too chaotic to support a complex model, don't build one."
"Big Data" is like sex in high school. Nobody really knows for sure how to do it properly, but everyone thinks everyone else is doing it, so everyone says they're doing it, too.
Thanks to the War on Drugs, it's easier to buy meth than it is to buy cold medicine!
If you have a marketing department, you're wasting money.
If you hire a marketing firm, you're burning money.
If you hire a marketing firm and then take their advice, you're emptying your bank account into a volcano.