Data Trends for Investment Professionals


Quandl’s Guide to Monetizing Alternative Data

Many businesses from start-ups to multinational corporations have begun augmenting their revenue streams — sometimes exponentially — with their exhaust data. Professional investors who fail to beat their benchmarks quickly go extinct. They now need unique and untapped sources of data to remain competitive. While most think of selling data to brands, media companies and marketers, one critical potential audience for exhaust data is Wall Street. Investors will pay for exhaust or alternative data that tells them something unique about the economy in real time. If you are the owner of such a data asset and you’re contemplating its monetization,...

Free DataCamp Tutorial for Quandl and R

This is a guest post from DataCamp. At DataCamp we build tools to learn data science interactively. We have an onlineR tutorial to learn R Programming and a Python For Data Science tutorial to learn Python. Some time ago we collaborated with Quandl to developHow to Work with Quandl in R, a free interactive tutorial that introduces you to the main functionality of the Quandl R package. Evidently, we hit the mark with this one because to date, this course has been taken by more than 30,000 data science enthusiasts. In the past few weeks, we’ve been updating many of...

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