Creditriskmonitor.com Website Review

combine to help professionals stay ahead of public and private company risk quickly, accurately and cost‑effectively. predictive crowdsourcing method creditriskmonitor crowdsources click patterns of our subscribers to make bankruptcy risk as*essment even more powerful and accurate. since we’ve incorporated the click patterns of our subscribers, our frisk® score has become more accurate than ever before, predicting public company bankruptcy risk with 96% accuracy within a 12-month period. our subscribers are highly influential in the daily commerce of some of the world’s largest corporations, making either credit or procurement decisions affecting billions of dollars of purchase and sale transactions every month. crowdsourcing is unique to creditriskmonitor, providing our subscribers with insights that they can’t get anywhere else. we’ve added crowdsourcing to our proprietary frisk® score to improve the score’s ability to predict bankruptcy, but our research shows that crowdsourcing alone is a strong enough model to predict bankruptcy. new from creditriskmonitor, the payce® score harnesses de*p neural network technology to bring you a highly accurate score for private a recent study of the last two completed calendar years showed that creditriskmonitor's frisk® score was able to predict u.s. public company bankruptcy at a 97.9% rate of success. previous next. public companies average 53% of typical dollar risk exposure. public companies are few in number, but huge in risk. don't underestimate the impact of financial stress at even one of your. risk is hidden — and isn’t revealed by trade payment data. payment patterns are misleading to predict business failure of public companies. public companies often continue to pay consistently right. using “one size fits all” business credit tools puts you at risk. use the right methods to manage your risk. effective public company an*lysis uses timely financials, market sentiment and predictive