Data Trends for Investment Professionals

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5 Misleading Myths About Alternative Data

One of the (many) interesting things about alternative data is how difficult it is to define. Most people define it by what it is not: “any non-market data is alternative data”. But very few are actually able to pinpoint what it actually is. The reason, I suspect, is that alternative data is a moving target. It comes from different sources, takes different forms, and offers insights on different verticals. For example, satellite imagery can predict oil inventories, online job listings can track company growth, and insurance records can track auto sales: that’s 3 different data types, from three different sources,...

Alternative Data in Action: Iron Ore in a Meltdown?

China is both the world's largest producer and the world's largest importer of iron ore. This can result in some curious dynamics in the market, especially when China's internal supply and demand for iron ore become unbalanced.   Recent developments form an interesting case study. The Chinese government has been getting tougher on smog, and this means cutting steel production, which is a major source of pollutants. How will this affect global iron ore markets? Alternative data may hold the answer. Air Care The Chinese government has made it a policy priority to reduce the smog that envelops many of...

Quandl Presents at Strata Data Conference 2017

Thinking of attending Strata Data Conference New York 2017? We’re excited to announce that on September 26, Quandl’s Chief Data Officer, Abraham Thomas, will be presenting a talk on logistics data. Entitled “Oh buoy! How data science improves shipping intelligence for hedge funds,” Thomas's presentation will delve into the many ways hedge funds use supply chain and logistics data to predict a pattern or movement in a specific security. This is an exciting area for data scientists today as financial professionals are ever-hungry for new sources of exhaust data to fuel their trading algorithms. Thomas’ talk will take place at...

Webinar: How to Commercialize Your Data [Video]

Many companies come to us wondering if and how they can generate revenue from their existing data. It's a rather lengthy process, but one that can be lucrative for prospective providers. To help those looking to make the most from their data, we recently hosted a webinar entitled, “How to Commercialize Your Data,” presented by Quandl’s Chief Data Officer Abraham Thomas and featuring Forrester Principal Analyst Dr. Jennifer Belissent. According to Forrester’s 2017 Data and Analytics survey, 48% of companies are currently commercializing their data — up from 32% last year. This is to say that data supply is an...

Data Monetization: Pricing Your Data Product

Pricing Your Data Product You’ve built your data product and are ready to put it on the market. You’ve done your due diligence, making sure that your data is clean, predictive and completely scrubbed of sensitive information. You’ve created great relationships with hedge funds and consultants. Everything seems to be in order until you make that first call with a potential client. They ask, “How much do you charge for your data?” In other words, is there any logic to the way you are pricing your data product. What do you charge, indeed: Is your asking price too high, too...

Data Monetization: Marketing and Selling Your Data Product

In the last post, we covered compliance concerns and data privacy and discussed what hedge funds expect in their data products. In this post, let's assume your product is fully developed and ready to be sold. Just get your marketing team on it, right? Not exactly. Even if you're a data company, marketing and selling data products to Wall Street is a unique process. Active managers make their wealth partly by keeping their circles closed. Therefore, despite having successfully productized your data assets, you may still not be able to penetrate the coterie that is Wall Street — your key demographic....

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