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By: Teri Tassara In my blog last month, I covered the importance of using quality credit attributes to gain greater accuracy in risk models.  Credit attributes are also powerful in strengthening the decision process by providing granular views on consumers based on unique behavior characteristics.  Effective uses include segmentation, overlay to scores and policy definition – across the entire customer lifecycle, from prospecting to collections and recovery. Overlay to scores – Credit attributes can be used to effectively segment generic scores to arrive at refined “Yes” or “No” decisions.  In essence, this is customization without the added time and expense of custom model development.  By overlaying attributes to scores, you can further segment the scored population to achieve appreciable lift over and above the use of a score alone. Segmentation – Once you made your “Yes” or “No” decision based on a specific score or within a score range, credit attributes can be used to tailor your final decision based on the “who”, “what” and “why”.  For instance, you have two consumers with the same score. Credit attributes will tell you that Consumer A has a total credit limit of $25K and a BTL of 8%; Consumer B has a total credit limit of $15K, but a BTL of 25%.   This insight will allow you to determine the best offer for each consumer. Policy definition - Policy rules can be applied first to get the desirable universe.  For example, an auto lender may have a strict policy against giving credit to anyone with a repossession in the past, regardless of the consumer’s current risk score. High quality attributes can play a significant role in the overall decision making process, and its expansive usage across the customer lifecycle adds greater flexibility which translates to faster speed to market.  In today’s dynamic market, credit attributes that are continuously aligned with market trends and purposed across various analytical are essential to delivering better decisions.  

With most lenders focused on growth as the top priority for the new year, having the ability to score more consumers is key.

According to the National Christmas Tree Association, approximately 25 to 30 million real Christmas trees are sold annually in the United States versus 8 to 11 million artificial trees.

By: Maria Moynihan Crime prevention and awareness techniques are changing and data, analytics and use of technology is making a difference. While law enforcement departments continue to face issues related to data - ranging from working with outdated information, inability to share data across departments, and difficulty in collapsing data for analysis -  a new trend is emerging where agencies are leveraging outside data sources and analytic expertise to better report on crimes, collapse information, predict patterns of behavior and ultimately locate criminals. One best practice being implemented by law enforcement agencies is to skip trace an individual much like a debt collector would.   Techniques involve using historic address information and individual connections to better track to a person’s current location. See the full write up from CollectionsandCreditRisk.com to see how this works. Another great example of effective use of data in investigations can be seen in this video, where one Experian client, Intellaegis of El Dorado Hills, CA, recently worked with local law enforcement to follow the digital data footprints of a particular suspect, finding her in in just five minutes of searching. p> And, yet another representation of improved data gathering, handling and sharing of information for crime prevention and awareness can be found on a site I was just made aware of by one of my neighbors - www.crimemapping.com. Information is collapsed across departments for greater insight into the crimes that are happening within a neighborhood, offering a more comprehensive option for the general public to turn to on local area crime activity. Clearly, data, analytics and technology are making a positive impact to law enforcement processes and investigations. What is your public safety organization doing to evolve and better protect and serve the public?     

Experian’s latest annual State of Credit analysis provides insight into the differences in credit habits by generation. While the youngest group, Millennials, appear to be novice credit managers, Generation Xers have the highest amount of average debt, are slowest to make payments on time and tied with Millennials for highest percentage of credit utilized. The results of the study reinforce the importance of lenders providing transparent consumer education on credit scores and responsible credit behavior. Snapshot of generational debt differences Baby Boomers (47 to 65) Generation X (30 to 46) Millennials (19 to 29) VantageScore® credit score 700 653 628 Average debt $29,317 $30,039 $23,332 Average balance of bankcards $5,347 $5,343 $2,682 Average revolving utilization 30% 37% 37% Late payments 0.33 0.61 0.58 Download our recent Webinar: It’s a new reality ... and time for a new risk score Source: Experian’s State of Credit infographic

Data quality should be a priority for retailers at any time of the year, but even more so as the holiday season approaches. According to recent research from Experian, organizations feel that, on average, 25 percent of their data is inaccurate and 12 percent of departmental budgets are wasted due to inaccuracies in contact data. During the 2013 holiday season, consumer spending is expected to increase by at least 11 percent. Retailers need to improve data quality early on in order to ensure that relevant holiday offers reach consumers and to take advantage of the expected increase in consumer spending. View our recent Webinar: Unique insights on consumer credit trends and the impact of consumer behavior on the economic recovery Source: View our data quality infographic: ’Twas the month before the holidays

The credit appetite for small businesses is strong and growing. Total outstanding balances have risen at their fastest rate in two years, and delinquency rates have fallen at a consistent pace. Only 10 percent of outstanding small-business credit balances were past-due in Q3 — the lowest level of delinquency seen since the recovery began. While this is an encouraging sign, it is important to note that these improvements have come at the cost of hiring new employees and investments. Sign up for the Quarterly Business Credit Review Webinar on Dec. 10 Source: Download the full Experian/Moody’s Analytics Small Business Credit Index report.

Credit trends from the most recent Experian–Oliver Wyman Market Intelligence Report point to a steady economic recovery. Bankcard charge-offs decreased 13 percent year over year (4.5 percent versus 3.9 percent) and delinquent dollars for the 90–180 day past due delinquencies decreased 17.5 percent for the same timeframe (1.6 percent to 1.3 percent). These trends are a positive sign for overall economic recovery and evidence that the current growth in bankcard originations is not coming at the expense of increased delinquencies. Sign up to attend our upcoming Webinar on Q3 credit trends and take a closer look at the impact of consumer behavior on the economic recovery. Source: Data for this article was sourced from Experian’s IntelliViewSM, a Web-based data query, analysis and reporting tool.

In the 1970s, it took an average of 18 days before a decision could be made on a credit card application. Credit decisioning has come a long way since then, and today, we have the ability to make decisions faster than it takes to ring up a customer in person at the point of sale. Enabling real-time credit decisions helps retail and online merchants lay a platform for customer loyalty while incentivizing an increased customer basket size.   While the benefits are clear, customers still are required to be at predetermined endpoints, such as: At the receiving end of a prescreened credit offer in the mail At a merchant point of sale applying for retail credit In front of a personal computer The trends clearly show that customers are moving away from these predetermined touch-points where they are finding mailed credit offers antiquated, spending even less time at a retail point of sale versus preferring to shop online and exchanging personal computers for tablets and smartphones. Despite remaining under 6 percent of retail spending, e-commerce sales for Q2 2013 have reportedly been up 18.5 percent from Q2 2012, representing the largest year-over-year increase since Q4 2007, before the 2008 financial crisis. Fueled by a shift from personal computers to connected devices and a continuing growth in maturity of e-commerce and m-commerce platforms, this trend is only expected to grow stronger in the future. To reflect this shift, marketers need to be asking themselves how they should apportion their budgets and energies to digital while executing broader marketing strategies that also may include traditional channels. Generally, traditional card acquisitions methods have failed to respond to these behavioral shifts, and, as a whole, retail banking was unprepared to handle the disintermediation of traditional products in favor of the convenience mobile offers. Now that the world of banking is finding its feet in the mobile space, accessibility to credit must also adapt to be on the customer’s terms, unencumbered by historical notions around customer and credit risk. Download this white paper to learn how credit and retail private-label issuers can provide an optimal customer experience in emerging channels such as mobile without sacrificing risk mitigation strategies — leading to increased conversions and satisfied customers.  It will demonstrate strategies employed by credit and retail private-label issuers who already have made the shift from paper and point of sale to digital, and it provides recommendations that can be used as a business case and/or a road map.  

Credit unions were the only type of lender to have their 30 day plus delinquency rate fall below 2 percent for several key product categories. The table below provides the delinquency rate by lender and product. 30 day plus delinquency rate Q2 2013   Auto* Mortgage Bankcard Credit unions 1.52% 1.36% 1.99% Banks 2.01% 4.91% 2.73% Captive auto 2.40% N/A N/A Sign up to attend our upcoming Webinar on Q3 credit trends and take a closer look at the impact of consumer behavior on the economic recovery. Source : Data for this article was sourced from IntelliViewSM, a Web-based data query, analysis and reporting tool. *Auto delinquency rate includes automotive loans and leases.

Personalized credit education can have a measurable impact on a person’s credit score. Consumers who used a personalized consumer credit-education service that offers one-on-one guidance and score simulation improved their average VantageScore® credit score by 21 points (684 to 705) and decreased their credit utilization by 15 percent. Download our recent Webinar: It's a new reality ... and time for a new risk score VantageScore® is a registered trademark of VantageScore Solutions, LLC.

The growing cost and number of data breaches has spurred more interest in cyber insurance. While companies often increase investments in technology and training programs to reduce the likelihood of a breach, a recent Ponemon Institute survey of risk-management professionals found that 31 percent of companies surveyed have cyber insurance and 39 percent plan to purchase cyber insurance in the future. Learn how to outline your response plan with our data breach response guide. Source: Managing Cyber Security as a Business Risk: Cyber Insurance in the Digital Age

By: Zach Smith On September 13, the Consumer Financial Protection Bureau (CFPB) announced final amendments to the mortgage rules that it issued earlier this year. The CFPB first issued the final mortgage rules in January 2013 and then released subsequent amendments in June. The final amendments also make some additional clarifications and revisions in response to concerns raised by stakeholders.     The final modifications announced by the CFPB in September include: Amending the prohibition on certain servicing activities during the first 120 days of a delinquency to allow the delivery of certain notices required under state law that may provide beneficial information about legal aid, counseling, or other resources. Detailing the procedures that servicers should follow when they fail to identify or inform a borrower about missing information from loss mitigation applications, as well as revisions to simplify the offer of short-term forbearance plans to borrowers suffering temporary hardships. Clarifying best practices for informing borrowers about the address for error resolution documents. Exempting all small creditors, including those not operating predominantly in rural or underserved areas, from the ban on high-cost mortgages featuring balloon payments. This exemption will continue for the next two years while the CFPB re-examines the definitions of “rural” and “underserved.” Explaining the "financing” of credit insurance premiums to make clear that premiums are considered to be “financed” when a lender allows payments to be deferred past the month in which it’s due. Clarifying the circumstances when a bank’s teller or other administrative staff is considered to be a “loan originator” and the instances when manufactured housing employees may be classified as an originator under the rules. Clarifying and revising the definition of points and fees for purposes of the qualified mortgage cap on points and fees and the high-cost mortgage points and fees threshold. Revising effective dates of many loan originator compensation rules from January 10, 2014 to January 1, 2014. While the industry continues to advocate for an extension of the effective date to provide additional time to implement the necessary compliance requirements, the CFPB insists that both lenders and mortgage servicers have had ample time to comply with the rules. Most recently, in testimony before the House Financial Services Committee, CFPB Director Richard Cordray stated that “most of the institutions have told us that they will be in compliance” and he didn’t foresee further delays. Related Research Experian's Global Consulting Practice released a recent white paper, CCAR: Getting to the Real Objective, that suggests how banks, reviewers and examiners can best actively manage CCAR's objectives with a clear dual strategy that includes both short-term and longer-term goals for stress-testing, modeling and system improvements.  Download the paper to understand how CCAR is not a redundant set of regulatory compliance exercices; its effects on risk management include some demanding paradigm shifts from traditional approaches. The paper also reviews the macroeconomic facts around the Great Recession revealing some useful insights for bank extreme-risk scenario development, econometric modeling and stress simulations. Related Posts Where Business Models Worked, and Didn't, and Are Most Needed Now in Mortgages Now That the CFPB Has Arrived, What's First on It's Agenda Can the CFPB Bring Debt Collection Laws into the 21st Centrury

Billions of dollars are being issued in fraudulent refunds at the state and federal level.  Most of the fraud can be categorized around identity theft.  An example of this type of fraud may include fraudsters acquiring the Personal Identifying Information (PII) from a deceased individual, buying it from someone not filing or otherwise stealing it from legitimate sources like a doctor’s office.  The PII is then used to fill out tax returns, add fraudulent income information and request bogus deductions. Additional forms of tax refund fraud may include: Direct consumer tax refund fraud using real PII of US Citizens to file fraudulent tax returns and claim bogus deductions thereby increasing refund amounts EITC (Earned Income Tax Credit)/ACC (Additional Childcare Credit) fraud which is usually perpetrated with the assistance of a tax preparer and claiming improper cash payments and/or deductions for non-existent children. Tax Preparer Fraud where tax preparers purposefully submit false information on tax returns or file false returns for clients. Under reporting of income on tax filings. Taking multiple Homestead Exemptions for tax credit. Since this Fraud more often occurs as an early filing using Fraudulent or stolen PII the individual consumer is at risk for long term Identity issues. Exacerbating the tax refund fraud problem: The majority of returns that request refunds are now filed online (83% of all federal filings in 2012 were online) -if you file online, there is no need to submit a W-2 form with that online filing.  If your employment information cannot be pulled into the forms by your tax software you can fill it in manually.  The accuracy of information regarding employer and wage information for which deductions are based, is only verified after the refund is issued.  Refunds directly deposited - filers now have the option to have their refunds deposited into a bank account for faster receipt.   Once these funds are deposited and withdrawn there is no way to trace where the funds have gone. Refunds provided on debit cards – filers can request their refund in the form of a debit card.  This is an even bigger problem than bank account deposits because once issued, there is no way to trace who uses a debit card and for what purpose. So what do you need to look for when reviewing tax fraud prevention tools? Look for a provider that has experience in working with state and federal government agencies.  Proven expertise in this domain is critical, and experience here means that the provider has cleared the disciplined review process that the government requires for businesses they do business with. Look for providers with relevant certifications for authentication services, such as the Kantara Identity Assurance Framework for levels of identity assurance.  Look for providers that can authenticate users by verifying the device they’re using to access your applications.  With over 80% of tax filings occurring online, it is critical that any identity proofing strategy also allows for the capability to verify the source or device used to access these applications. Since tax fraudsters don’t limit their use of stolen IDs to tax fraud and may also use them to perpetrate other financial crimes such as opening lines of credit – you need to be looking at all avenues of fraudulent activity If fraud is detected and stopped, consider using a provider that can offer post fraud mitigation processes for your customers/potential victims. Getting tax refunds and other government benefits into the right hands of their recipients is important to everyone involved.  Since tax refund fraud detection is a moving target, it’s buyer beware if you hitch your detection efforts to a provider that has not proven their expertise in this unique space.  

According to a recent Experian analysis of Q2 2013 bankcard trends, bankcard origination volumes increased 21% year-over-year equating to a $12 billion increase in new bankcard limits. The increase was largely driven by the prime and near-prime segments which made up the majority of the $12 billion increase. Download our recent Webinar: It's a new reality...and time for a new risk score.