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DataCracker
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DataCracker was built on the idea of democratizing data analysis.
DataCracker was built on the idea of democratizing data analysis.

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First Look: DataCracker’s Streamlined Entry-Level Analytics http://buff.ly/1ewmOiN via Business Software #surveys #marketing #marketresearch

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Video: DataCracker and SurveyMonkey Partnership - See how they work together http://buff.ly/1e1Hg6m

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DataCracker and SurveyMonkey Combine Powers with New Integration

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Spreadsheets are incredibly useful, but not a whole lot of people would argue that they’re the most compelling way of depicting data to an audience.

Likewise, plenty of people who aren’t statisticians by trade have nevertheless had to wrestle with infamously opaque tools like SPSS and Excel pivot tables to try and coax some statistical analysis out of, say a SurveyMonkey poll or a customer survey.

Numbers, a Sydney-based R&D and software company, identified this crowd as an under-served market and moved to respond. DataCracker, a data analysis and visualization app, is the result. How does it measure up?

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If you look hard enough, surveys are filled with “insights”. There are always differences that could be interesting.  Men may like your product more than women.  Older people may buy your product less frequently.  Awareness may lift when you rejig your website.

The challenge with analyzing surveys is that many things that look like insights are probably wrong.  Statistical testing has been developed for just this problem.  The purpose of a “stat test” is to work out if a result in a survey that seems to be interesting is likely to be a one-off fluke, or, is a true insight.

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Some short cuts are good. A faster way to drive to work. A delicious meal in five minutes.

Some short cuts are bad. Driving without a seat belt. Failing to proof read. Cluster analysis. Yep. You read it right. Cluster analysis.
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