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Hans Rosling and the magic washing machine

Hans Rosling and the magic washing machine

Predictive Modeling and Data Mining Scientists/Analysts at Obama 2012 Presidential Campaign, Chicago, IL analyze the campaign data to guide election strategy and develop quantitative, actionable insights that drive our decision-making. Looking for people at both the senior and junior level to join the campaign Analytics Dept through November 2012. Company: Obama 2012 Presidential CampaignLocation: Chicago, ILWeb: www.barackobama.com The Obama for America Analytics Department analyzes the campaign's data to guide election strategy and develop quantitative, actionable insights that drive our decision-making. Our team's products help direct work on the ground, online and on the air. We are looking for Predictive Modeling/Data Mining Scientists and Analysts, at both the senior and junior level, to join our department through November 2012 at our Chicago Headquarters. Using statistical predictive modeling, the Democratic Party's comprehensive political database, and publicly available data, modeling analysts are charged with predicting the behavior of the American electorate.

The Rise of the Data Web « Dataspora Cambridge, Mass. – March 4, 2011 – Via Science announced the acquisition of Dataspora, a predictive analytics firm that helps companies solve complex big data problems. The acquisition helps strengthen Via Science’s positioning to support the consumer packaged goods and retail sectors, areas of focus for Dataspora. REFS™ provides the ability to leverage causal mathematics at scale with its supercomputing platform. Via Science has integrated the knowledge acquired, and will continue to target the core sectors Dataspora pioneered. About Via Science Via Science applies “big math” to solve high-value, complex problems. REFS™ produces intuitive, causal software models that decision-makers can use to identify actions that can shape the future in their favor. Via Science = Big (Math + Computing + Data) For more information contact: info@viascience.com

How Fab.com Raised $40 Million With A Lot Of Data And No Pain Let’s face it, fundraising can be a real pain in the ass for the entrepreneur. It takes up a ton of time that can be otherwise spent managing the business. Sure, it’s a necessary evil, but it’s also typically a big distraction. It’s also a lot like dating. You have to go on a lot of first dates before you can move on the to the second, third, fourth, and then hopefully marriage. When we decided to raise a large round of financing for Fab in October, my biggest concern was that it would divert our management team’s time and attention away from running the business at a critical time, as we were simultaneously scrambling to prepare for our first holiday season at Fab. As our “one thing” at Fab.com is design, I put a lot of thought and consideration into how we might design our fundraising process differently from the norm, so as to optimize around time spent fundraising vs. running the business, and to quickly hone in on who we wanted to marry. Venture Growth Capital. One final note. p.s.

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