Data Trends for Investment Professionals

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The future of data privacy in alternative data

An interview with Peter Greene We had the opportunity to interview Peter Greene, Vice Chair of the Investment Management Group at Lowenstein Sandler LLP, on the topic of data privacy in alternative data. We cover the evolution of data compliance, current challenges in the regulatory scheme and how data privacy might evolve in the future. Comments have been condensed and edited for clarity. Looking back at your presentation from the 2020 Quandl Data Conference, how important is data privacy and data compliance for a hedge fund or data-driven investor today versus 5 years ago? Greene: A lot has changed. Five...

The Inedible Feast

So much data, so little alpha A number of researchers and consulting shops have published projections of just how big the alternative data industry is destined to be. Deloitte, for example, concluded that the industry will swell to $7 billion next year. They go on to note, "There is no shortage of vendors that provide these data sets to Wall Street.” I would suggest the “no shortage” situation is related to the promise of that $7 billion spend. In fact “no shortage” understates what’s going on. The amount of data on offer to professional investors is excessive and quickly becoming...

Announcing the Third Annual Quandl Data Conference

The industry-leading event for data-driven investing is coming in February. Our co-founder and Chief Data Officer Abraham Thomas shares why he is particularly excited by this year's conference. We’re so excited to announce that the third annual Quandl Data Conference is happening on February 28th, 2019, again at Convene’s West 46th Street location. This is our flagship event, formerly known as the Alternative Data Conference. Why the name change, you might ask? “Alternative” is a label that is becoming less appropriate everyday. For our customers, data is the fuel that runs their business , no matter what prefix you give...

Essential Data Feeds for Artificial Intelligence

Artificial intelligence is a hungry beast. It subsists on a continuous input of trillions of data points, incessantly churning, chewing and spitting out insights. The data scientist or AI specialist must continuously seek new data sources to feed the beast and fine-tune their creation. At Quandl we’re accustomed to providing financial professionals with new and unique data feeds to augment their trading strategies. In recent months, however, we’ve seen a notable increase in the number of AI and machine learning companies requesting such data. To us, this signals growth in the number of AI practitioners deploying functional algorithms in business....

Late Birds Get the Worm: Payment Data and Company Strength

In a recent Huffington Post article, Visa’s Head of Global Financial Education Nathaniel Sillin wrote, “Understanding how much it costs to manage a home and the importance of paying your bills on time can help you avoid costly mistakes.” While many readers would likely nod in agreement, Sillin’s sage advice is not as universal as you might think. At least not in the business world. Bloomberg has cited a report by Quandl’s partner Dun & Bradstreet (essentially the Experian and Equifax of the business world), claiming that “For big businesses, . . . things are different. For one thing, they...

The Landscape of Auto Industry Data

Since man first invented the wheel, our need to optimize the way we get around has been an almost primeval obsession. From the advent of the first motorized vehicle to self-driving cars, the auto industry has evolved quickly in its embrace of technology. We are now experiencing what is probably the greatest advancement in the automotive sector since Henry Ford first designed his moving assembly line: the rise of the connected car. Per Scotiabank’s BI Intelligence Estimates, by 2020 more than 75% of new cars shipped will be Internet-connected. From reading your Facebook notifications to measuring safety and engine health,...

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