FactSet blends ML, NLP for predictive data analysis

The vendor is drawing on its vast collection of data to develop predictive signals for credit ratings, shareholder activism and more.

Data vendors are asking themselves the same questions: How can we use the treasure trove of data we’ve amassed to drive actionable insights to users? And while it’s great to have the data, how do we provide context and signals around that data?

In the years since its founding in the 1970s, FactSet has acquired a vast breadth of datasets, comprising market data and reference data; fundamentals, pricing and ownership data; and ever-growing volumes of alternative data. So the vendor began looking

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