Financial institutions must follow critical guidelines to avoid risk. This may be true, but credit unions and banks may limit their growth potential for businesses or even prevent their members from taking full advantage of their products and services.
Discover patterns that would otherwise be impossible to detect using predictive analytics while maintaining those guidelines. Identify ways to avoid giving high limits to members that could result in loss or fraud. Avoid churning customers by providing low limits.
With NEMESIS, business teams can rapidly deploy analytical solutions that are focused on action. The all-in-one platform offers easy yet powerful actionable insights, data modeling, customizable dashboards, and case management capabilities that allow users to take action immediately. Maximize revenue and minimize risk by setting the right limits.
This case requires the use of transaction data and customer account data. Statistically derive limits for each customer segment based on historical limit denials and increases.