Fraud Prevention

Data Analytics to identify fraudulent and unethical selling practices

Big data and analytics can play a critical role in addressing the increasing prevalence of fraudulent or unethical selling practices to quickly gain additional insights. At the underwriting stage, insurance companies can employ big data and analytics solutions that scrutinize applicant identities by searching and analyzing large volumes of information rapidly. Companies can determine whether applicants—and people associated with those applicants have been linked to fraud in the past, and whether selling practices may be fraudulent or unethical.