Loss Forecasting

Overview

In addition to monitoring and managing bad debt, it is vital that service providers increase ARPU, control churn, forecast future bad debt situations and manage an ever-changing industry landscape. To increase your accuracy and better predict and manage bad debt, analytics and optimization science can balance these priorities and automate and streamline your loss forecasting activities. This gives you the ability to simulate and test different scenario in order to improve profitability and achieve broad benefits for your business.

With loss forecasting, credit risk decisions can adapt and adjust to the various stages of the lifecycle. By automating the approach, with a specific set of best practices for the telecommunications industry, FICO’s loss forecasting solution enables users to move their focus from manual data pulls to more strategic evaluation.

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