Big Data Revolution

TechCrunch

[tc_contributor_byline slug=”jeremy-levy”]

PayPal co-founder and venture capitalist Peter Thiel commonly harps on the tech community for overusing buzzwords like “cloud” and “big data.” He’s not the only one who’s been saying this, but the message still doesn’t appear to be sinking in with most enterprises.

Companies often tout all their terabytes and petabytes of data, and their massive teams of data scientists running huge Hadoop clusters with Apache Kafka streams that are such a competitive advantage.

The truth is, most of them suffer from one of the old adages in computing: garbage in, garbage out. Not only do most of them actually not have Big Data in terms of data complexity or volume, but most of them actually have Crappy Data, and it’s probably hurting their business. According to Experian Data Quality, inaccurate data affects the bottom line of 88 percent of organizations and impacts up to 12 percent of revenues.

Good Big Data

Some companies actually have good data and know how to use it. From mature, web-native companies like Google…

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