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gigaom
A data democracy built to last needs tools that empower everyone to work with data rather than relying on apps and data scientists. Tableau helped ignite the data revolution, and its IPO could help it keep going.
Via Monika Fleischmann
The good news is that there’s a whole new breed of startups trying to empower the data citizenry, whatever their role. Companies such as 0xdata, Precog andBigML are trying to make data science more accessible to everyday business users. There are next-generation business intelligence startups such as SiSense,Platfora and ClearStory rethinking how business analytics are done in an area of HTML5 and big data. And then there are companies such as Statwing, Infogramand Datahero (which will be in beta mode soon, by the way) trying to bring data analysis to the unwashed non-data-savvy masses.
Combined with a growing number of publicly available data sets and data marketplaces, and more ways of collecting every possible kind of data — personal fitness, web analytics, energy consumption, you name it — these self-service tools can provide an invaluable service. In January, I highlighted how a number of them can work by using my own dietary and activity data, as well as publicly available gun-ownership data and even web-page text. But as I explained then, they’re still not always easy for laypeople to use, much less perfect.