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There was a recent discussion among members of the Anti Fraud experts group on LinkedIn regarding collaboration among financial institutions to combat fraud. Most posters agreed on the benefits of such collaboration but were cynical when it came to anything of substance, such as a shared data network, getting off the ground. I happen to agree with some of the opinions on the primary challenges faced in getting cross industry (or even single industry!) cooperation to prevent both consumer and commercial fraud. Those being: 1) sharing data and 2) return on investment. Despite the challenges, there are some fraud prevention and “negative” file consortium databases available in the market as fraud prevention tools. They’re often used in conjunction with authentication products in an overall risk based authentication / fraud deterrence strategy. Some are focused on the Demand Deposit Account (DDA) market, such as Fidelity’s DebitBureau, while others, like Experian’s own National Fraud Database, address a variety of markets. Early Warning Services has a database of both “account abuse” – aka DDA financial mismanagement – and fraud records. Still others like Ethoca and the UK’s 192.com seem focused on merchant data and online retailers. Regardless of the consortium, they share some common traits. Most: – fall under Fair Credit Reporting Act regulation – are used in the acquisition phase as part of the new account decision – require contribution of data to access the shared data network Given the seemingly general reluctance to participate in fraud consortiums, as evidenced by the group described above, how do we assess value in these consortium databases? Well, for one, most U.S. banks and credit unions participate in and contribute customer behavior data to a consortium. Safe to say, then, that the banking industry has recognized the value of collaboration and sharing data with each other – if not exclusively to minimize fraud losses but at least to manage potential risk at acquisition. I’m speaking here of the DDA financial mismanagement data used under the guiding principle of “past performance predicts future results”. Consortium data that includes confirmed fraud records make the value of collaboration even more clear: a match to one of these records compels further investigation and a more cautious review of the transaction or decision. With this much to gain, why aren’t more companies and industries rushing to join or form a consortium? In my next post, I’ll explore the common objections to joining consortiums and what the future may look like.

As the economic environment changes on what feels like a daily basis, the importance of having information about consumer credit trends and the future direction of credit becomes invaluable for planning and achieving strategic goals. I recently had the opportunity to speak with members of the collections industry about collections strategy and collections change management — and discussed the use of business intelligence data in their industry. I was surprised at how little analysis was conducted in terms of anticipating strategic changes in economic and credit factors that impact the collections business. Mostly, it seems like anecdotal information and media coverage is used to get ‘a feeling’ for the direction of the economy and thus the collections industry. Clearly, there are opportunities to understand these high-level changes in more detail and as a result, I wanted to review some business intelligence capabilities that Experian offers – and to expand on the opportunities I think exist to for collections firms to leverage data and better inform their decisions: * Experian possesses the ability to capture the entire consumer credit perspective, allowing collections firms to understand trends that consider all consumer relationships. * Within each loan type, insights are available by analyzing loan characteristics such as, number of trades, balances, revolving credit limits, trade ages, and delinquency trends. These metrics can help define market sizes, relative delinquency levels and identify segments where accounts are curing faster or more slowly, impacting collectability. * Layering in geographic detail can reveal more granular segment trends, creating segments for both macro and regional-level credit characteristics. * Experian Business Intelligence has visibility to the type of financial institution, allowing for a market by market view of credit patterns and trends. * Risk profiling by VantageScore can shed light on credit score trends, breaking down larger segments into smaller score-based segments and identifying pockets of opportunity and risk. I’ll continue to consider the opportunities for collections firms to leverage business intelligence data in subsequent blogs, where I’ll also discuss the value of credit forecasting to the collections industry.

By: Amanda Roth Doesn’t that sound strange: Pricing WITH competition? We are familiar with the sayings of pricing for competition and pricing to be competitive, but did you ever think you would need to price with competition? When developing a risk-based pricing program, it is important to make sure you do not price against the competition in any extreme. Some clients decide they want to price lower than the competition regardless of how it impacts their profitability. However, others price only for profitability without any respect to their competition. As we discussed last week, risk-based pricing is 80 percent statistics, but 20 percent art — and competition is part of the artistic portion. Once you complete your profitability analysis (refer to 12/28/2009 posting), you will often need to massage the final interest rate to be applied to loan applications. If the results of the analysis are that your interest rate needs to be 8.0 percent in your “A” tier to guarantee profitability, but your competition is only charging 6.0 percent, there could be a problem if you go to market with that pricing strategy. You will probably experience most of your application volume coming to an end, especially those customers with low risk that can obtain the best rates of a lender. Creativity is the approach you must take to become more competitive while still maintaining profitability. It may be an approach of offering the 6.0 percent rate to the best 10 percent of your applicant base only, while charging slightly higher rates in your “D” and “E” tiers. Another option may be that you need to look internally at processing efficiencies to determine if there is a way to decrease the overall cost associated with the decision process. Are there decision strategies in place that are creating a manual decision when more could be automated? Pricing higher than the market rate can be detrimental to any organization, therefore it is imperative to apply an artistic approach while maintaining the integrity of the statistical analysis. Join us next week to continue this topic of pricing with competition which is, again, an important consideration when developing a risk-based pricing program.
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typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


