Data Trends for Investment Professionals

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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 area of opportunity for many businesses.

During the presentation, Abraham and Jennifer focused on the following topics:

  • How to identify your data’s value
  • How to prepare your data for market
  • How to sell your data to a targeted audience
  • Case studies of companies that have gone beyond monetization and commercialized their data successfully

In case you weren’t able to join the 100+ attendees in real time, we have embedded the recording below for your convenience.

About the Presenters

Abraham Thomas, Quandl’s Chief Data Officer, led the presentation. Over the past year, Abraham has vetted over 100 varying data productions for inclusion on the platform. Before Quandl, he was a senior portfolio manager and head of US trading at a multi-billion-dollar global hedge fund.

Jennifer Belissent, Forrester Research’s Principal Analyst, was the guest presenter. Her research areas include business technology adoption, with a primary focus on the tools and services to help organizations better use and share data, as well as open data initiatives.

We hope you enjoyed the presentation and were able to glean valuable insight into taking your data to market successfully. If you are in need of a data partner or have any questions regarding selling your data, please contact us using the button below.

Commercialize Your Data

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