Market signals come from disparate data sources and disguise critical context from investors and industry analysts. Press releases, corporate communications, and government filings all provide essential information hidden within disjointed and unstructured data sources. Connecting these data sources using a Natural Language Processing pipeline exposes obscured information to internal analysts and external customers. Small market signals grow stronger when context from other data sources crystallizes information within the noise of the market.
Professionals from all industries can use this knowledge to make more informed investment decisions specific to their industry. Using the same flexible and scalable data, one customer can hone their account-based marketing and targeted lead generation, while another projects building occupancy and an analyst evaluates bankruptcy court outcomes. Further, as more news sources, databases, and documents become available, they are added to the platform without affecting the underlying architecture.