Some of the third party fraud scenarios that are often top of mind with our customers: identity theft; synthetic identities; and account takeover.

By: Wendy Greenawalt In my last few blogs, I have discussed how optimization can be leveraged to make improved decisions across an organization while considering the impact that opimizing decisions have to organizational profits, costs or other business metrics. In this entry, I would like to discuss how optimization is used to improve decisions at the point of acquisition, while minimizing costs. Determining the right account terms at inception is increasingly important due to recent regulatory legislation such as the Credit Card Act.  Doing so plays a role in assessing credit risk, relationship managment, and increasing out of wallet share. These regulations have established guidelines specific to consumer age, verification of income, teaser rates and interest rate increases. Complying with these regulations will require changes to existing processes and creation of new toolsets to ensure organizations adhere to the guidelines. These new regulations will not only increase the costs associated with obtaining new customers, but also the long term revenue and value as changes in account terms will have to be carefully considered. The cost of on-boarding and servicing individual accounts continues to escalate while internal resources remain flat. Due to this, organizations of all sizes are looking for ways to improve efficiency and decisions while minimizing costs. Optimizing decisions is an ideal solution to this problem. Optimized strategy trees (trees that optimize decisioning strategies) can be easily implemented into current processes to ensure lending decisions adhere to organizational revenue, growth or cost objectives as well as regulatory requirements.  Optimized strategy trees enable organizations to create executable strategies that provide on-going decisions based upon optimization conducted at a consumer level. Optimized strategy trees outperform manually created trees as they are created utilizing sophisticated mathematical analysis and ensure organizational objectives are adhered to. In addition, an organization can quantify the expected ROI of decisioning strategies and provide validation in strategies – before implementation. This type of data is not available without the use of a sophisticated optimization software application.  By implementing optimized strategy trees, organizations can minimize the volume of accounts that must be manually reviewed, which results in lower resource costs. In addition, account terms are determined based on organizational priorities leading to increased revenue, retention and profitability.

In the past few days I’ve read several articles discussing how lenders are taking various actions to reduce their exposure to toxic mortgages – some, like Bank of America, are engaging new principal repayment programs.*  Others, (including Bank of America) are using existing incentive programs to fast-track the approvals of short-sales to stunt their losses and acquire stronger lenders on existing real-estate assets. Given the range of options available to lenders, there are significant decisions to make regarding the creditworthiness of existing consumers and which treatment strategies are best for each borrower, these decisions important for assessing credit risk, loan origination strategies and loan pricing and profitability.  Experian analysis has uncovered the attributes of borrowers with various borrowing behaviors: strategic defaulters, cash-flow managers, and distressed borrowers, each of whom require a unique treatment strategy. The value of credit attributes and predictive risk scores, like Experian Premier Attributes and VantageScore® credit score, has never been higher to lenders. Firms like Bank of America are relying on credit delinquency attributes to segment eligible borrowers for its programs, and should also consider that more extensive use of attributes can further sub-segment its clients based on the total consumer credit profile. Consumers who are late on mortgage payments, yet current on other loans, may be likely to re-default; whereas some consumers may merely need financial planning advice and enhanced money management skills. As lenders develop new methods to manage portfolio risk and deal with toxic assets on their portfolios, they should also continue to seek new and innovative analytics, including optimization, to make the best decisions for their customers, and their business. *  LA Times, March 25, 2010, ‘Bank of America to reduce mortgage principal for some borrowers’