While technology undoubtedly has made accessing medical information much easier and faster, it also has also provided an increased potential for medical data breaches especially as health personnel begin to use unsecure mobile devices for personal and work use.  With an increase in health care employees using their own tablets and smartphones in the workplace, many healthcare companies are considering adopting a Bring Your Own Device (BYOD) policy.  However, many companies have failed to implement mobile data breach protection, breaking the HIPAA Security Rule which requires healthcare companies to perform a risk analysis of the processes by which they protect the confidentiality of electronic patient health information maintained by their organization.  Companies are required to use the information gathered from the analysis to take measures to ensure the confidentiality of patient data and to reduce risks to a reasonable level.  If companies don’t comply and there is a data security breach, they can be heavily fined by the U.S. Department of Health & Human Services. Just recently, a teaching hospital and medical practice associated with a large university was fined $1.5 million in a data breach of patient information when a laptop computer containing unencrypted data on 3,621 patients and research subjects was stolen.  Hospital and practice officials were found guilty of violating the HIPAA Security Rule by not implementing data protection and security on their mobile devices.  The loss of laptops, portable storage gadgets like thumb drives and cell phones have already cost insurance companies, drugstores, medical practices and even a government health and social services department, millions of dollars in fines. Unfortunately, this troubling trend doesn’t just affect the medical industry.  In August 2012, Coalfire (a firm that provides IT audit and risk assessment) surveyed 400 individuals across North America covering a variety of industries about their company’s mobile device security practices. The data revealed that many organizations lack policies addressing mobile cyber security threats. Download our Free Data Breach Response Guide Key statistics from the survey: 84 percent use the same smartphone for personal and work usage. 47 percent don’t have a password on their mobile phone. 51 percent said their companies cannot remotely wipe data from mobile devices if they are lost or stolen. 49 percent said their IT departments have not discussed mobile/cyber security with them. Clearly, companies are not doing enough to protect themselves and their employees from the expensive cost of a data breach.  As mobile devices become popular and less expensive, workers will naturally want to use them for their jobs.  Therefore, it is prudent for companies to adopt business data breach protection and security policies to protect not only their company data but also their pocketbook.

It comes as no surprise to anyone that cell phone usage continues to rise, while at the same time the usage of wire lines, or what used to be affectionately known as POTS (Plain Old Telephone Service), continues to decline. Some recent statistics, supplied by the CDC show that: 34% of all households are now wireless only 25 states have rates of primary wireless exceeding 50% Landline only households is now down to only 10.2% When you couple that with churn rates for cell phones that can exceed 40% a year, it becomes paramount to find a good source for cell numbers if you are trying to contact an existing customer or collect on an overdue bill. But where can debt collectors go to find reliable cell phone numbers? The cell phone providers won’t sell you a database, there is no such thing as 411 for cell phones, nor is it likely there will be one in the near future with the aforementioned 40%+ churn rates. Each cell phone service provider will continue to protect their customer base. There are a few large compilers of cell phone numbers; they mostly harvest these numbers from surveys and sources that capture the numbers as a part of an online service—think ringtones here! These numbers can be good, at least initially, if they came with an address which enables you to search for them. The challenge is that these numbers can grow stale relatively quickly. Companies that maintain recurring transactions with consumers have a better shot at having current cell numbers. Utilities and credit bureaus offer an opportunity to capture these self-reported numbers. At our company, over 40% of self-reported phones are cell phones. However, in most cases, you must have a defined purpose as governed by Gramm Leach Bliley (GLB) in order to access them. Of course, the defined purpose also goes hand in hand with the Telephone Consumer Protection Act (TCPA), which restricts use of automatic dialers and prohibits unsolicited calls via a cell phone. Conclusion? If you are trying to find someone’s cell number for debt collection purposes, I recommend using a resource more likely to receive updates on the owner of a cell over that of compilers who are working with one time event data. In today’s world, obtaining an accurate good cell number is a challenge and will continue to be. What cell phone number resources have been most effective for you?

Returns on investment from superior customer-centric strategies easily can exceed 20 percent in the first year of implementation. However, this number is compounded exponentially in subsequent years due to repeat business, new customer referrals and customer loyalty. Learn more about the design and deployment of holistic retail bank customer-centric strategies that synthesize critical information and qualitative banker insights. Source: Implementing differentiated customer-centric strategies: Retail-banker-friendly strategy development that resonates with your customers and shareholders, an Experian white paper.

During Q2 of 2012, home equity line of credit (HELOC) delinquency rates were the lowest in recent years. The delinquency rate fell below 1 percent for all performance categories: 30 to 59 days past due (DPD) fell to 0.88 percent; 60 to 89 DPD was at 0.42 percent and 90 to 180 DPD was at 0.99 percent. Source: Experian-Oliver Wyman Market Intelligence Reports.

Not surprisingly, bankcard utilization is the highest among subprime consumers with VantageScore D and F tiers having average bankcard utilization rates of 68% and 81% respectively. In comparison, VantageScore A tier (super prime) consumers had an average bankcard utilization rate of 6% and VantageScore B tier (prime) consumers had an average bankcard utilization rate of 15%. Join our panel of experts on October 23 to hear from industry experts on key regulations that are changing the way banks need to conduct business in order to grow and stay profitable. Source: Experian Oliver Wyman Market Intelligence Reports.

Contributed by: David Daukus As the economy recovers from the recession, consumers are becoming more responsible with their credit card usage; credit card debts have not increased and delinquency rates have declined. Delinquency rates as a percentage of balances continue to decline with the short term 30-59 DPD period, now at 0.9%. With mixed results, where is the profit opportunity? Further studies from Experian-Oliver Wyman state that the average bankcard balance per consumer remained relatively flat at $4,170, but the highest credit tiers (using VantageScore® credit score A and B segments) saw average balances increase to $2,422 and $3,208, respectively. It's time to focus on what you have—your current portfolio—and specifically how to: Increase credit card usage in the prime segments Assign the right lines to your cardholders Understand who has the ‘right’ spend Risk score alone doesn't provide the most accurate insight into consumer accounts. You need to dig deeper into individual accounts to uncover behavioral trends to get the critical information needed to grow your portfolio:  Leading financial institutions are looking at consumer payment history, such as balance and utilization changes. These capture a consumer’s credit situation more accurately than a point in time view. When basic principles are applied to credit data, different consumer behaviors become evident and can be integrated into client strategies. For example, if two consumers have the same VantageScore® credit score, credit card balances, and payment status, does that mean they have the same current credit status? Not necessarily so. By looking at their payment history, you can determine which direction each is heading. Are they increasing their debt or are they paying down their debt? These differences reveal their riskiness and credit needs. Therefore, with payment history added to the mix, you can more accurately allocate credit lines between consumers and simultaneously reduce risk exposure. Spend is another important metric to evaluate to help grow your portfolio. How do you know if a consumer uses primary a credit card when making purchases? Wouldn’t you want to know the right amount of credit to provide based on the consumer’s need? Insight into consumer spending levels provides a unique understanding of a consumer’s credit needs. Knowing spend allows lenders to provide necessary high lines to the limited population of very high spenders, while reducing overall exposure by providing lower lines to low spenders. Spend data also reveals wallet share—knowing the total spend of your cardholder allows you to calculate their external spend. With wallet share data, you can capture more spend by adjusting credit lines or rewards that will entice consumers to spend more using your card. Once you have a more complete picture of a consumer, adjusting lines of credit and making the right offer is much easier. Take some of the risk out of managing your existing customers and finding new ones. What behavioral data have you found most beneficial in making lending decisions?   Source: Experian-Oliver Wyman Market Intelligence Reports

I'm here in Vegas at the Mobile2020 conference and I am fascinated by my room key. This is not the usual “insert in to the slot, wait for it turn green or hear it chime” key cards, these are “tap and hold to a door scanner till the door opens” RFID key card. It is befitting the event I am about to attend – Money2020 – the largest of its kind bringing together over 2000 mobile money aficionados, strategists and technologists from world over for a couple of days to talk about how payment modalities are shifting and the impact of these shifts to existing and emerging players. Away from all the excitement of product launches, I hope some will be talking about one of the major barriers for consumer adoption towards alternate payment modalities such as mobile – security and fraud.  I was in Costa Mesa last week and in the process of buying something for my wife with my credit card, triggered the card fraud alert. My card was declined and I had to use a different card to complete my transaction. As I was walking out, my smartphone registers a text alert from the card issuer – asking me to confirm that it was actually I who attempted the transaction. And If so, Respond by texting 1 – if Yes Or 2 – if No. All good and proper up till this point. If someone had stolen my card or my identity, this would have been enough to stop fraud from re-occurring. In this scenario the payment instrument and the communication device were separate – my plastic credit card and my Verizon smartphone. In the next couple of years, these two will converge, as my payment instrument and my smartphone will become one. At that point, will the card issuer continue to send me text alerts asking for confirmation? If instead of my wallet, my phone was stolen – what good will a text alert to that phone be of any use to prevent the re-occurrence of fraud? Further if one card was shut down, the thief could move to other cards with in the wallet – if, just as today, there are no frameworks for fraud warnings to permeate across other cards with in the wallet. Further, fraud liability is about to shift to the merchant with the 2013 EMV Mandate. In the recent years, there has been significant innovation in payments – to the extent that we have a number of OTT (Over the Top) players, unencumbered by regulation, who has been able to sidestep existing players – issuers and card networks, in positioning mobile as the next stage in the evolution of payments. Google, PayPal, Square, Isis (a Carrier consortium formed by Verizon, T-Mobile and AT&T), and a number of others have competing solutions vying for customer mind share in this emerging space. But when it comes to security, they all revert to a 4 digit PIN – what I call as the proverbial fig leaf in security. Here we have a device that offers a real-time context – whether it be temporal, social or geo-spatial – all inherently valuable in determining customer intent and fraud, and yet we feel its adequate to stay with the PIN, a relic as old as the payment rails these newer solutions are attempting to displace. Imagine what could have been – in the previous scenario where instead of reaching for my card, I reach for my mobile wallet. Upon launching it, the wallet, leveraging the device context, determines that it is thousands of miles away from the customer’s home and should score the fraud risk and appropriately ask the customer to answer one or more “out-of-wallet” questions that must be correctly answered. If the customer fails, or prefers not to, the wallet can suggest alternate ways to authenticate – including IVR. Based on the likelihood of fraud, the challenge/response scenario could include questions about open trade lines or simply the color of her car. Will the customer appreciate this level of pro-activeness on the issuer’s part to verify the legality of the transaction? Absolutely. Merchants, who so far has been on the sidelines of the mobile payment euphoria, but for whom fraud is a real issue affecting their bottom-line, will also see the value. The race to mobile payments has been all about quickly shifting spend from plastic to mobile, and incenting that by enabling smartphones to store and deliver loyalty cards and coupons. The focus need to shift, or to include, how smartphones can be leveraged to address and reduce fraud at the point-of-sale – by bringing together context of the device and a real-time channel for multi-factor authentication. It’s relevant to talk about Google Wallet (in its revised form) and Fraud in this context. Issuers have been up in arms privately and publicly, in how Google displaces the issuer from the transaction by inserting itself in the middle and settles with the merchant prior to firing off an authorization request to the issuer on the merchant’s behalf. Issuers are worried that this could wreak havoc with their inbuilt fraud measures as the authorization request will be masked by Google and could potentially result in issuer failing to catch fraudulent transactions. Google has been assuaging issuer’s fears on this front, but has yet to offer something substantial – as it clearly does not intent to revert to where it was prior – having no visibility in to the payment transaction (read my post here). This is clearly shaping up to be an interesting showdown – would issuers start declining transactions where Google is the merchant of record? And how much more risk is Google willing to take, to become the entity in the middle? This content is a re-post from Cherian's personal blog: http://www.droplabs.co/?p=625

Part 2:  Common myths about credit risk scores and how to educate consumers In light of what I've heard in the marketplace through the years, I wanted to provide some information to help 'debunk' some common myths about credit scores. Myth: There is only one credit score Reality: There are multiple credit scores that lenders can use to evaluate consumer credit worthiness. As noted in a recent New York Times article, there are 49 FICO score models. Make sure your customers know that an underwriting decision is based on more than just a credit score—multiple factors are evaluated to make a lending decision. The most important thing a consumer can do is ensure their credit report is accurate. Myth:  The probability of default remains constant for a credit score over time Reality:  The probability of default can shift dramatically based on macro-economic conditions. In 2005, a score of 700 in any given model, may have had a probability of default of 2 percent, while in 2009, the same score could have had a probability of default of 8 percent. This underscores the value of conducting an annual validation of the credit model you are using to ensure your institution is making the most accurate lending decisions based on your risk tolerance. One of the benefits of utilizing the VantageScore® model, is that VantageScore® Solutions, LLC, produces an annual validation so you can ensure your institution is adjusting your strategies to meet changing economic conditions. Myth:  If the underlying credit report is the same at each credit reporting company, I will have the same score at each company Reality:  Traditional credit scoring models are completely different at each credit reporting company, which leads to vastly different scores or probabilities of default based on the same information. As a risk manager, this is very frustrating, as I may not understand which score most accurately assess the consumer’s probability of default. The only model that is the same across all credit reporting agencies is the VantageScore® model, where this is a patented feature that ensures the lender receives a consistent score (probability of default) across all bureau platforms. I hope these brief examples help clear up some confusion about credit scores. In Part 3 of this series, I will outline how to evaluate the risk of traditionally unscoreable consumers. If you have any thoughts or experiences from a lending perspective, please feel free to share them below.   Courtesy Why You Have 49 Different FICO Scores in the August 27, 2012 issue of the New York Times

By: Kyle Aiman Let’s face it, debt collectors often get a bad rap.  Sure, some of it is deserved, but the majority of the nation’s estimated 157,000 collectors strive to do their job in a way that will satisfy both their employer and the debtor.  One way to improve collector/debtor interaction is for the collector to be trained in consumer credit and counseling. In a recent article published on Collectionsandcreditrisk.com, Trevor Carone, Vice President of Portfolio and Collection Solutions at Experian, explored the concept of using credit education to help debt collectors function more like advisors instead of accusers.  If collectors gain a better understanding of consumer credit – how to read a credit report, how items may affect a credit score, how a credit score is compiled and what factors influence the score – perhaps they can offer suggestions for improvement. Will providing past-due consumers with a plan to help improve their credit increase payments?  Read the article and let us know what you think!

The August 2012 edition of the S&P/Experian Consumer Credit Default Indices showed that bankcard, first-mortgage and second-mortgage default rates hit new post recession lows. The first mortgage default rate decreased slightly, from 1.41 percent in July to 1.40 percent in August, and has been down or flat for eight consecutive months. The second-mortgage default rate fell to the lowest in its eight-plus-year history, reaching 0.72 percent. Bankcard default rates fell the most in August, from July's 3.83 percent to 3.77 percent, the lowest rate in five years. Source: Press release: Consumer Credit Default Rates Remain Near Recent Lows in August 2012.

By: Mike Horrocks It has been over a year that in Zuccotti Park the Occupy Wall Street crowd made their voices heard.  At the anniversary point of that movement, there has been a lot of debate on if the protest has fizzled away or is still alive and planning its next step.  Either way, it cannot be ignored that it did raise a voice in how consumers view their financial institutions and what actions they are willing to take i.e. “Bank Transfer Day”. In today’s market customer risk management must be balanced with retention strategies.  For example, here at Experian we value the voice of our clients and prospects and I personally lead our win/loss analysis efforts.  The feedback we get from our customers is priceless.   In a recent American Banker article, some great examples were given on how tuning into the voice of the consumer can turn into new business and an expanded market footprint. Some consumers however will do their talking by looking at other financial institutions or by slowly (or maybe rapidly) using your institution’s services less and less.   Technology Credit Union saw great results when they utilized retention triggers off of the credit data to get back out in front of their members with meaningful offers.     Maximizing the impact of internal data and spotting the customer-focused trends that can help with retention is even a better approach, since that data is taken at the “account on-us” level and can help stop risks before the customer starts to walk out the door. Phillip Knight, the founder of Nike once said, “My job is to listen to ideas”.  Your customers have some of the best ideas on how they can be retained and not lost to the competitors.  So, think how you can listen to the voice and the actions of your customers better, before they leave and take a walk in the park.

By: Maria Moynihan State and local governments responsible for growth may be missing out on an immediate and sizeable revenue opportunity if their data and processes for collections are not up to par. The Experian Public Sector team recently partnered with Governing Magazine to conduct a nationwide survey with state and local government professionals to better understand how their debt collections efforts are helping to address current revenue gaps. Interestingly enough, 81% stated that the economic climate has negatively impacted their collections efforts, either through reduced staff or reduced budgets, while 30% of respondents are actively looking for new technologies to aid in their debt collections processes. New technologies are always a worthwhile investment. Operational efficiencies will ultimately ensue, but those government organizations who are coupling this investment with improved data and analytics are even better positioned to optimize collections processes and benefit from growth in revenue streams. No longer does the public sector need to lag behind the private sector in debt recovery. With the total outstanding debt among the 50 states reaching an astounding size of approximately $631 billion dollars, why delay? Check out Experian's guide to improving debt collections efforts in the public sector. What is your agency doing to capitalize on revenue from overdue obligations?

In Experian's recent State of Credit study which analyzes credit scores in more than 100 cities, Minneapolis took the number one spot, with an average VantageScore® credit score of 787. The Midwest dominated the top 10 spots in the rankings and Wisconsin consumers continue to demonstrate their credit savvy, with four of the state's metropolitan areas making the top 10 list for the second year in a row. Top 10 highest average credit scores by city VantageScore® credit score rank City State Average VantageScore® credit score 1 Minneapolis MN 787 2 Madison WI 786 3 Wausau WI 785 4 Sioux Falls SD 784 5 Cedar Rapids IA 783 6 San Francisco CA 783 7 Green Bay WI 781 8 La Crosse WI 779 9 Boston MA 778 10 Duluth MN 777   View an interactive map and read the complete results of the State of Credit 2012 study. Source: Experian's State of Credit 2012 study VantageScore® is owned by VantageScore Solutions, LLC.

The average bankcard balance per consumer in Q2 2012 was $4,170, which is 4 percent higher when compared to the same quarter of the previous year. VantageScore A and VantageScore B tiers (super prime and prime) saw bankcard balances increase by 31 percent and 11 percent respectively, while all other VantageScore® tiers experienced annual balance decreases during the same timeframe. Listen to our recorded Webinar on consumer credit trends from the Q2 2012 Market Intelligence Reports, including bankcard trends and an in-depth look at the current state of the U.S. real estate market. Source: Experian Oliver-Wyman Market Intelligence Reports VantageScore® is owned by VantageScore Solutions, LLC.

By: Teri Tassara Negative liquidity, or owing more on your home than its value, has become a much too common theme in the past few years.  According to CoreLogic, 11 million consumers are underwater, representing 1 out of 4 homeowners in the nation.  The irony is with mortgage rates remaining at historic lows, consumers who can benefit the most from refinancing can’t qualify due to their negative liquidity situation. Mortgage Banker’s Association recently reported that approximately 74% of home loan volumes were mortgage re-finances in 2Q 2012.  Consumers who have been able to refinance to take advantage of the low interest rates already have, some even several times over.  But there is a segment of underwater consumers who are paying more than their scheduled amount in order to qualify for refinancing – which translates to growth opportunity in mortgage loan volume. Based on an Experian analysis of actual payment amount on mortgages, actual payment amount was reported on about 65% of open mortgages (actual payment amount is the amount the consumer paid the prior month).  And when the actual payment is reported, the study found that 82% of the consumers pay within their $100 of scheduled payment and 18% pay more than their scheduled amount. Actual payment amount information as reported on the credit file, used in combination with other analytics, can be a powerful tool to identify viable candidates for a mortgage refinance, versus those who may benefit from a loan modification offer.  Consumers methodically paying more than the scheduled payment amount may indicate that the consumer is trying to qualify for refinancing.  Conversely, if the consumer is not able to pay the scheduled payment about, that consumer may be an ideal candidate for a loan modification program.   Either way, actual payment amount can provide insight that can create a favorable situation for both the consumer and the lender, mitigating additional and unnecessary risk while providing growth opportunity. Find other related blog posts on credit and housing market trends.