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Data analytics startup SimpleQL suggests questions

Stephen Lawson | April 3, 2014
SimpleQL thinks the best way to bring business intelligence to people who've never drilled into big data is to help them decide what they want to know.

When a user starts typing words into SimpleQL's search box, the system automatically completes potentially useful questions. Below those suggestions are relevant topic areas that the user can click on to generate still more suggested questions.

For example, a human resources executive might type "how many employees per salary range -50k-75k-100k-" to generate a pie chart that breaks down pay levels inside their company. SimpleQL would automatically generate other possible questions: From "how many," it might generate "departments with more than 10 female employees each with age > 50" and let the searcher scroll down to choose that query.

Over time, SimpleQL will use aggregated data from other users of applications or databases to generate more useful suggestions.

One company SimpleQL has been working with is a large telecommunications carrier with a proprietary field operations database. The database contains a wealth of information, such as how many times the carrier has visited a customer's home and what service was performed. Today, the carrier has a team of specialists dedicated to producing reports. SimpleQL would let customer service representatives, field managers and other employees draw up their own reports, Gensler said.

The company was founded about two years ago by two former Cisco Systems executives based in Israel, Yossi Shani and Tal Cohen, now the chief programming officer and head of engineering. It has just five employees and operates out of Runway, a coworking space in the same building as Twitter's headquarters in San Francisco. SimpleQL says it already has 10 enterprise customers signed on to use the product.

 

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