The age of big data promises more than it can deliver. It gets us thinking that more information means little to no chance of making any mistakes.Big companies invest 200,000 employee hours per billion dollars in revenue generating data for yearly forecasts and budgets. That means billions of dollars in data analysis were spent at companies like Blockbuster, Borders, Circuit City, Sears, HP and Sprint. Did that make them faster or did it create speed bumps? The answer, of course, is no.In this episode, Jason Jennings presents a game changing plan for action that ends paralysis.

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