Subscribe to our Newsletter

Cloudera Founder Jeff Hammerbacher, who coined the term “Data Scientist”, invests in Statwing

Founder, Launches New Partnership Program In Its Mission To Re-Imagine The Way We Approach Data Analysis

  • Cloudera Founder Jeff Hammerbacher, who coined the term “Data Scientist”, invests in Statwing arrogant
  • Statwing announces Partnership Program to allow web apps to embed Statwing’s tools, thereby offering their users faster and more convenient methods to analyze data created or collected by the app          
  • With an intuitive interface and simple commands, Statwing allows complex relationships in data to be distilled into clear, plain-English sentences and easily understood charts and graphs, propelling businesses and entrepreneurs to the next level of popular data analysis
  • Development team responsible for Statwing's software counts significant support from the designer of the TiVo UI, Bob Vallone, who additionally taught statistics at Stanford University

 

Y Combinator backed Statwing announces it has raised funding from Cloudera founder Jeff Hammerbacher, continuing its mission to re-imagine the way we approach data analysis. The brainchild of Greg Laughlin and John Le, Statwing affords powerful data analysis with none of the headache, through an intuitive interface combined with a wide range of visualization capabilities.

 

With Jeff Hammerbacher’s investment, Statwing looks to be in good company, as Jeff is not only the Co-Founder of Cloudera, he is also responsible for coining the term “data scientist”.

 

Statwing is also announcing its new Partnership Program, whereby partners can provide data analysis tools to their users, saving time and effort as they streamline the data analysis process. Partners can leverage Statwing’s new program in two ways, one of which is free and carries the Statwing logo, and a second option where users analyze their data in a fully partner-branded version of Statwing—either embedded directly in the partner’s web app, or at a [partner].statwing.com-type URL.

 

For example, users of InCrowd’s doctor survey service see the results of every service in an InCrowd-branded version of Statwing; the data transfer is seamless, so their users feel like they’re still using InCrowd.

 

Services like AskMeEvery, a quantified self service, add an “Export to Statwing” link to their site so their users can one-click transfer their data to Statwing and begin analyzing it immediately (starting a free 2-week trial of Statwing).

 

"We couldn't be happier with Statwing as a partner. Survata fulfills millions of survey questions for clients every year, and that data requires powerful analysis software to generate insights.  So, Statwing performs a critical function for us, and our clients constantly give positive feedback about it. Best of all, we were up and running on the API in 24 hours,” says Chris Kelly, CEO of Survata.

 

Increasingly in businesses large and small, companies rely on the analysis of data to make decisions. In the past, this meant hiring an expensive statistical analyst or suffering through confusing spreadsheets. Statwing lets anyone get the same value out of their data as a trained statistical analyst.

 

Statwing’s easy to use and highly robust data analysis tool converts uploaded data into rich, interactive tables and graphs, and uses statistically-driven plain English sentences to describe what’s happening in the data. For example, if you uploaded results from an A/B test, Statwing could automatically choose a statistical analysis, run it, and translate the results into a sentence like “Group A had a much higher conversion rate than Group B.”

 

The idea for Statwing was hatched when co-founders Greg Laughlin and John Le, both Stanford alums, were working on a product at San Francisco-based startup CrowdFlower. Both had experience working with data analysis programs of the time (SPSS and R), as well as old dataset stand-by Excel, and both were dissatisfied with what they saw as major flaws in consumer capabilities and ease of use.

 

“We both found that statistical products at that time made it really hard to do the basic analysis and visualization that almost anyone wants to do when analyzing a dataset (e.g., relating one variable to one other variable, for example). And Excel was fairly clunky and not that powerful. We figured if we had such different data analysis backgrounds and had such similar pain points, there must be a lot of other folks out there just like us,” said Laughlin.

 

Laughlin describes the impetus for Statwing was a desire to create a “powerful yet simple” tool for data analysis. Statwing stands out from the competition through its highly sophisticated, yet easy to use, design that allows data analysis amateurs to match the same results as the consultant statisticians and experts, but without the cost.

 

“Statwing automates statistical analysis so folks can understand their data deeply in just a few clicks,” said Laughlin. “We want anyone to be able to get the same insight out of their data as a statistician or data scientist.”

 

According to Laughlin, Microsoft Excel, while still useful for certain data manipulation or modeling tasks, has not changed significantly or become much more user-friendly in the past 15 years. In particular, Laughlin says that anyone who uses Excel’s PivotTable functionality will get much more powerful analysis much easier with Statwing. And while Excel becomes sluggish with hundreds of thousands of rows of data, Statwing is very speedy even when running dozens of analyses at once on tens of millions of rows of data.

 

The program also serves those who require the high processing power of programs offered by advanced data analysis tools such as SPSS, but it performs the actions faster, watches out for issues in the data (like outliers), and translates statistical jargon into plain English.

 

“We’re really proud of where we’ve gotten with Statwing. Some of our users find Excel confusing, while finding Statwing very intuitive. Conversely, some of our customers are data scientists who prefer to use Statwing for data exploration, then switch to R to do more advanced modeling and analysis.” said Laughlin. “That’s not an easy balance to strike.”

 

The development team responsible for Statwing's software counts significant support from the designer of the TiVo UI, Bob Vallone, who additionally taught statistics at Stanford University.

 

About Statwing

 

Statwing automates statistical analysis so you can understand your data deeply in just a few clicks. Now anyone can get the same insight out of data as a statistician or data scientist.

 

Contact Information

 

Co-Founder: Greg Laughlin

Email: [email protected]

Website:https://www.statwing.com

Views: 287

On Data Science Central

© 2020   BigDataNews.com is a subsidiary of DataScienceCentral LLC and not affiliated with Systap   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service