Posted under Startups
from 1820 days ago

“I believe CrunchBase will gain a lot of attention from the academia soon, which is always eager for high-quality data set,” writes Guang Xiang of Carnegie Mellon University, who found that he could predict Mergers and Acquisitions much better using the unique business variables available in CrunchBase than the traditional databases used by academics. Thanks, Xiang, flattery will get you everywhere.

“Traditionally, people only used numeric variables/features for M&A prediction, such as ROI, etc. CrunchBase and TechCrunch provided a much richer corpus for the task,” he writes. Specifically, CrunchBase gave him data on a volume of companies roughly 43 times the normal dataset (2300 vs. +100,000) and access to valuable variables, such as management structure, financing, and media coverage.

For instance, “Strong financial backing is generally considered critical to the success of a company,” but traditional datasets won’t have detailed information on the management, their experience ...


blog comments powered by Disqus
Editor's Pick
Popular Today