ID Analytics Announces Availability of Score Optimizer to Reduce Application Review Time

ID Analytics, Inc., the leader in Identity Risk Management, today announced availability of ID Score-Optimizer, an advanced analytics solution that can reduce the costs of manual reviews of applications by approximately 50 percent. By eliminating unnecessary manual reviews, ID Score-Optimizer enables organizations to focus more attention on those applications that actually do require manual intervention, increasing an organization’s bandwidth for processing legitimate applications without inconveniencing customers.

Once applications have been flagged for manual review using an organization’s existing systems or ID Analytics ID Score-Risk, ID Score-Optimizer uses proprietary analytics based on four million data queries to determine the most effective data sources and queries to validate a particular application issue. As a result, organizations can minimize subjectivity and reduce the time and costs associated with manual review processes. In fact, up to 75 percent of applications that previously required individual attention can now be automated.

"Our clients are pleased with the performance of ID Score-Optimizer because it efficiently sifts out the riskiest applications, and reduces customer friction introduced by manual reviews. We don’t have to subject legitimate customers to unnecessary verification, which can cause them to abandon the process," said Mike Cook, chief operating officer and vice president of product for ID Analytics, Inc. "With ID Score-Optimizer we are able to help them to save time and money to capitalize on new revenue- generating opportunities."