LatentView's Credit Scoring and Collections solutions enable companies in a variety of industries to effectively utilize predictive analytics to better forecast risk and decide on appropriate actions to reduce losses and increase profitability.

Credit Scoring
Financial Services, Telecom companies and Utilities have long known that there is credit risk inherent in each prospect. These companies need to do a delicate balancing act - assuming too much risk leads to bad debt, not enough risk means lost opportunities for revenue growth. Hence, growth and even survival depends on the ability of these companies to accurately forecast credit risk.

Given such a scenario, risk management teams are constantly demanding better answers to questions such as:

• Who are my ideal customers?
• How can I evaluate a prospect's probability of default?
• What are the factors that determine credit risk?
• How can I accurately evaluate credit risk while compressing decision cycles?

LatentView can help you answer these questions by building custom scoring solutions that can automate a majority of these decisions for you. Overrides can be set to ensure that borderline cases are sent to risk management teams for decisioning. These solutions can potentially include industry standard scores, while at the same time, incorporate factors unique to your business. Driven by predictive analytics, these solutions enable you to embark on a journey of continuous improvement of your credit scoring processes, allowing you to respond quickly to changing customer needs, market conditions and competitor actions, while minimizing credit risk and maximizing profitability.

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Collections
Companies in several industries - notably Financial Services, Telecom, and Utilities - are struggling to devise effective ways of collecting receivables from their retail and business customers. These companies are seeking to reduce the overall level of ageing on the managed portfolio, whilst at the same time reducing direct employee costs associated with collections. Consider the following questions that collection managers are grappling with today:

• How can I reduce collections head count while achieving my ageing targets?
• How do I prioritize my collection efforts?
• How do I decide on the best collection strategies for different segments of my delinquent customers?
• How can I decide whether to keep or sell my write-off portfolio?

LatentView can help you adopt a risk-based approach to collections to enable you answer some of these questions. Using predictive analytics we can help you utilize past account payment and usage behavior to score every account, reflecting that account's propensity to default in a given time frame. Accounts are then prioritized for collections based on risk dollars.

We can help you build appropriate collections solution given the variation in account behavior and collection goals during different stages of delinquency. Early stage collection solutions can automate the process of segmenting your portfolio into self cures, incurables and collection cures. Late Stage collection solutions can consider the impact of collections operations on a customer's payment probability. Recovery scoring solutions can be used to increase the liquidity of your portfolio and make decisions on whether to keep or sell the portfolio. By providing more precise and actionable answers to questions above, our solutions can help you reclaim much more money at the same resource levels.

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