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Discover our approach to making predictions using massive amounts of precision news data
Sifting through an overabundance of news and other unstructured data sources in real-time is a huge challenge. In this case study:
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We are often asked for examples of how we use
precision news data to predict material changes when we explain how our customers use our data.
In this case study, we outline 15 weeks of warning headlines leading up to Selma's credit downgrade. Revealing trends included:
Making sense of massive amounts of unstructured data from news and other sources is complicated. Our approach to sifting, cleansing and organizing all of that data helps our customers make business decisions simpler.
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