It’s about finding relevant, selected data and then being able to “connect the dots” in a smart way, otherwise the data is easily useless to enrich structured company data. This could be, for example, targeted web scraped data of a more detailed business or product focus, business keywords or as simple as a relevant up-to-date employee count.

New machine learning technology can not only be used in enriching data, but is working very efficiently in comparing company data and finding truly similar companies with advanced trained algorithms. In many cases where traditional sector codes and descriptions do not really help at all. And it learns and improves.

With the private debt market expected to expand and continue following a strong growth trajectory, the need to stand out from the crowd is increasingly important.