Statwing Is Launched

We really do have essentially free and ubiquitous data. So the complimentary scarce factor is the ability to understand that data and extract value from it. The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades

I think statisticians are part of it, but it’s just a part… Managers need to be able to access and understand the data themselves.

–Hal Varian, Google Chief Economist

Statwing is founded on the idea that the tools of the last 20 years are inadequate to meet the needs of a world of ubiquitous data. Excel and its PivotTables are the go-to for most professionals who work with data. But they’re relatively weak, seldom used for anything more complicated than averages, sums, and other simple summarizations. Data science/statistical tools like R, SPSS, and SAS, are incredibly powerful, but they’re too technical for the vast majority of professionals and managers, requiring knowledge of arcane statistical vocabulary like “chi-squared” to ask even basic questions of data.

Excel’s data analysis capabilities were essentially complete by 1993. Statistical tools were mostly originally written in the 1970s and the 1960s. All of these tools have progressed but none have been reimagined. Ten years from now, in a world of ubiquitous data, will the average analyst still be using tools from thirty years prior?

We hope not.

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