Figuring out what to do with Big Data would be much easier if it were just a math problem. Math problems are definable, scaleable and solveable - but it takes more than this to transport an organization from data flooded to data fueled. Analysts and Scientists need to study their own culture - the business of doing business - to understand the needs, motivations, and fears of the world around them before they can make an impact. In this presentation, we will take that journey of insight, to understand how organizations react to the overtures of Big Data solutions, and define practical steps for getting them past the hurdles. We'll talk about some of the problems Big Data can solve, and how we can explain those solutions in ways that tap into our natural biology. Most importantly, we'll give you quick-win ideas for getting started when you get back - connecting to the problems of your business, and the people that have them.
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