A review of industry best practices, alternatives and methodologies of collection customer contact will be provided in this session.

With a declining mortgage market coupled with increased delinquencies and foreclosures, bankruptcy risk demands close attention. This session will provide an overview of the current trends and opportunities associated with bankruptcy. A detailed before-and-after reform analysis will be presented with current trending to help predict future bankruptcy risk. Finally, a state-of-the-art solution will be unveiled providing best-in-class bankruptcy prediction and strategies to curb future bankruptcy losses.

Within today's complex decisioning processes, efficiently implementing attributes can be time-consuming and difficult. Typically, organizations understand bureau data and decision calculations, but current tools are cumbersome and do not incorporate best practices for implementing and managing these calculations. Organizations need to focus on improved efficiency and greater self-service. A robust, tool-based approach to data integration allows organizations to reap efficiencies with enhanced implementation. This approach addresses key business issues and provides the opportunity to handle new data sources and functionality not previously available.

Learn how you can leverage customer data across your relationships to minimize risk, increase retention and maximize the profitability of your portfolio. This session will provide clients with an overview of the benefits of customer-level decisioning and communicate best practices used by peers in the retail banking/financial services industry.

Many clients initially select Precise ID based on its ability to detect fraud at the point of account opening. During implementation, they realize the breadth of tools and data that streamline their multiple processes, allowing for the reduction in tools and time to process accounts. Learn how Precise ID has helped improve fraud detection within the DDA space while streamlining operations.

Within six years, ING DIRECT has become the fourth-largest savings bank in the United States, with more than 4 million customers and more than $60 billion in assets. ING is the 15th-largest global financial institution, with more than 60 million customers worldwide. ING DIRECT’s success can be attributed to reducing operational costs and passing the savings onto its customers. Through intense automation, ING DIRECT’s Orange Mortgage product has been an immense success. This success has been achieved through partnership with various technology vendors ranging from file-management and imaging to Experian’s Transact SM^SM for underwriting.

Many lenders are able to validate their new applicant scorecards on a regular basis, but there may be instances where validating is not possible. These could include small portfolio size, pristine credit performance or system limitations. This session will cover one lender's experience with monitoring its new applicant scorecard with limited data.

Reject inference is the most complicated and intriguing problem in new applicant model development. Many of the available techniques do little other than to perpetuate past decision making, which minimizes risk but may limit aggressive portfolio expansion. This presentation details the use of bureau-based techniques to improve rank-ordering in previously declined populations.

This session will focus on the requirements your credit scoring system needs to meet in order to maintain compliance with Regulation B. We will discuss validation and monitoring recommendations to assist in meeting these requirements, as well as hear client testimony regarding the importance of this in their own organization. We also will review some recent validation results of the client to show how even minor tweaks of a score can make a significant difference in how predictive it may be for the organization.

Attend this session to hear a detailed analysis of operational optimization via historical performance analysis, segmentation modeling and effective treatment strategies.

Why does the credit union industry charge as much as 389 basis points less for B-Paper auto loans and still have only a 21 percent share of that market? Could it be that rate is not the most important factor? Could the industry charge a higher rate and "price for the risk profitably" and still offer members a chance to refinance and save money? This session will explore this huge opportunity using business intelligence now available to our credit union clients.

Financial services institutions operate in a very low-margin environment. With the current economic pressures of an inverted yield curve and the status of the subprime mortgage market, there is renewed focus on differentiated pricing at the customer level that goes beyond the traditional risk-based pricing. Understanding the key ingredients to a successful migration to profit-based pricing is as important as determining the level of sophistication that is appropriate to your organization. Learn how a large retail bank is using optimization techniques to drive customer-level, value-based pricing in order to achieve its strategic business objectives.

This session provides lenders recommendations on how to communicate a lending or pricing decision made by using a credit risk score in conjunction with the applicant's behavioral information. Best practices for educating a credit union's lending staff and decision communicators will be discussed along with ways to educate members about their credit behavior. One of Experian's credit union clients will present real-life examples of the implementation and effectiveness of these best practices in its lending environment.

This session will focus on understanding how changes in consumer credit behavior can be powerful tools for prospecting and account management. For discussion will be current industry trends and how credit migration relates to those trends. A recent migration analysis completed for a Strategic Account will be presented. It focused on home-equity prospecting and cross-selling with follow-up explanation of the concept, analysis strategy and the results. Specific analysis results around the most predictive migrations by industry for both prospecting and risk will be provided along with practical applications and strategic recommendations for client use.