BA - Business Signals & Scores; News Analytics-based Signals for 700,000+ Companies Globally; 2 Years' History

The dataset covers 150+ business signals and quantitative scores for 700,000 companies (public and private) globally. Public companies have their respective tickers and ISIN codes. Signals are analyzed from news, call reports, annual reports et al and presented in 7 quantitative scores: (1) Growth; (2) R&D; (3) Risk; (4) Financial performance; (5) Capital markets performance; (6) Analyst view and (7) Executive movement. Signals are synthesized daily and quantitative scores created. The dataset is unique because of (1) its events taxonomy–content is analyzed using NLP for extracting the right signals as well as the sentiment of the signal; (2) quantitative scores are created for a company on a daily basis to track momentum. The scoring algorithm considers the recency and frequency of content, sentiment, and impact of the signals. The dataset is ideal for (1) Systematic investment strategies; (2) Private Equity and M&A; (3) Sales and Marketing; (4) Strategy/ Competitive Market Intelligence; and (5) Supply chain risk. The dataset is part of a wider offering to provide predictive analytics on the attractiveness of industries and companies.