July 20, 2018
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Thousands of researchers, entrepreneurs, and executives need to tap into Web data to deliver insights. Access to structured Web data tends to be limited at best, and heavily gated by billion dollar corporations. Consuming crawled web data with an API usually makes more sense for businesses.
Quandl Founder Tammer Kamel wants to create a new Wikipedia for Numeric Data. Quandl has built a sort of "universal data parser" which has thus far parsed about 2.8 million datasets without anything from any data publisher. As long as they spit out data somehow (excel, text file, blog post, xml, api, etc) the "Q-bot" can slurp it up. The result is quandl.com as sort of "search engine" for numerical data. Quandl's bot returns data in a totally standard format. The idea with Quandl is that you can find data fast, and it is ready to use.