It’s no secret that harnessing the power of big data has the potential to be a huge boon for enterprises. Scores of analyst reports offer the promised land of predictive analytics and countless other benefits, making the rush to jump on the big data bandwagon seem like a no brainer for CIOs.

Unfortunately, many companies often begin down the path towards big data without a solid understanding of the keys to success. One critical characteristic of big data that is often overlooked is the prevalence of bad data. Despite its sinister sounding name, bad data isn’t inherently evil. Rather, at the crux of the bad data issue is poor or inconsistent data quality. Gartner estimates that poor data quality costs the average business $13.5 million each year.

Source: datanami.com
Author: Gary Oliver