Earth be still. Big data has lost its luster.
Could it be that analyzing terabytes, exabytes and zettabytes of information won’t make us smarter … or, even worse, could it make us wrong?
We’re beginning to see headlines like “Google and the flu: how big data will help us make gigantic mistakes” in the Guardian, “Eight (No, Nine!) Problems With Big Data” in the New York Times and “Big Data: Are we making a big mistake?” on author and Financial Times columnist’s Tim Harford’s site.
If you believe what you read, then big data isn’t the ticket that we once thought it was.
Or, maybe it still is, say a whole host of others. They’ll likely point out that “big data” is simply resting in Gartner’s “trough of disillusionment” at the moment, because, as with most new technologies, the number of failures outweigh the number of successes early on.
So, if you buy Gartner’s theory, we’ll slowly but surely, learn to do big data better, climb out of the trough and onto the Slope of Enlightenment where it will become more and more embraced by the mainstream.
Big data will present us with tremendous new insights, just not quite yet.