{"id":39326,"date":"2010-10-30T12:47:22","date_gmt":"2010-10-30T12:47:22","guid":{"rendered":"http:\/\/rafaelfajardo.com\/portfolio\/big-money-for-companies-that-can-analyze-big-data\/"},"modified":"2010-10-30T12:47:22","modified_gmt":"2010-10-30T12:47:22","slug":"big-money-for-companies-that-can-analyze-big-data","status":"publish","type":"post","link":"https:\/\/rafaelfajardo.com\/portfolio\/big-money-for-companies-that-can-analyze-big-data\/","title":{"rendered":"Big Money for Companies That Can Analyze Big Data"},"content":{"rendered":"

Big Money for Companies That Can Analyze Big Data<\/a><\/p>\n

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nosql<\/a>:<\/p>\n

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three skills necessary for data-driven start-ups: data munging, the corralling and wrestling of data; modeling, the statistical analysis of data through algorithms; and visualization, the presentation of all the data. While all three are necessary for success, Driscoll believes that modeling and analysis through algorithms is what will determine winners and losers in Big Data.<\/p>\n<\/blockquote>\n

Most of us know these under the names data mining<\/strong> and business intelligence<\/em>.<\/p>\n

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\u201cThe secret sauce is predictive analysis powered by data,\u201d said Driscoll. \u201cIt\u2019s less about what you did and more about what you should do, and not even telling you what you should do \u2026 it should just do it for you.\u201d<\/p>\n<\/blockquote>\n

Sure thing. Everyone wants to predict stock market evolution, next football game score, etc. <\/p>\n

What you actually need big data<\/strong> and data mining<\/strong> for is:<\/p>\n