Today, Experian’s global Fraud and Identity business released its analysis of client transaction data from the 2014 holiday season, showing an 80 percent reduction in the number of manual reviews among online merchants using the company’s fraud and identity products and services compared with the industry average. These results and other observations indicate that a customer-centric approach to fraud prevention would be more effective for many online merchants, leading the company to recommend five best practices for online merchants preparing for the 2015 holiday season. [View our Customer Centric Fraud Prevention Strategy infographic] Experian’s holiday fraud data highlighted the performance delta between the company’s technology and alternative approaches. Many merchants, for example, will loosen their fraud rules to process more orders during peak periods. To compensate for the increased risk of fraud caused by this approach, more manual reviews were conducted. This is a counterproductive approach that drives up operating costs and increases customer friction. Despite the increase in manual reviews, undetected fraud can occur and good revenue can be left on the table. “Good fraud detection should be about more than preventing loss. It should increase revenue by allowing more good customers through and providing a hassle-free shopping experience, especially during the critical holiday shopping season,” said Steve Platt, Global EVP, Fraud and Identity, Experian. “To help our clients with this, we combine insights derived from device intelligence and digital behavior, with the contextual data about the event itself (e.g., transaction, application, login, etc.). We analyze millions of transactions per day, evaluate risk in real time and deliver responses in mere milliseconds. With this approach, our clients are catching more fraud and reducing customer friction, leading to fewer manual reviews and lower operational costs. It’s a win-win-win.” For one U.S. multichannel retail client, this “win” translated into a 95 percent detection rate (amount of fraud caught) valued at $17.3 million during the fourth quarter alone. This is just one example of how applying the following recommended best practices can help clients reduce fraud and drive top-line growth. Best fraud-prevention practices for the holidays With the 2015 holiday shopping season less than five months away, now is the time for merchants to prepare to effectively protect themselves and their customers during the busiest time of the year. Experian® shares five fraud-prevention best practices for a stronger 2015 holiday sales cycle: Avoid one-size-fits-all approaches — Many online merchants make a general temporary adjustment to loosen fraud-prevention rules, supplementing with additional manual reviews to accommodate the increased holiday volume. Not only does this increase operational costs for the business, but it also translates to an insult rate (falsely identifying good customers) of 29 percent to address a 0.9 percent problem. This is a significant imbalance. By leveraging the right fraud-prevention measures at the right time, you’ll see increased and sustainable top-line growth. Make your customer data work for you across the business — While many risk teams already use internal customer data to improve fraud detection, the explosion of channels and devices means there are other data sets across the enterprise that can be leveraged effectively to maintain visibility and authenticate identities across the digital ecosystem. Further, by establishing and maintaining a single, persistent customer view, companies benefit from additional, actionable insights throughout the customer journey. According to Experian Marketing Services’ 2015 Digital Marketer Report, 89 percent of marketers globally say that they have trouble achieving a single customer view. By using technology to link data sets and identities together — like customer loyalty data with customer transactional data, social and digital behavior, demographics and more — merchants are getting a clearer picture of who their customers are. In addition, they have a better understanding of how those customers engage across channels. It is also critical to understand that the amount of data alone is not the answer; the insights and intelligence gleaned from or applied to that data must be considered as well. Bring fraud and marketing efforts together — Although this is not an obvious combination at first glance, this relationship can be one of the most powerful in the enterprise. Just last year, a survey by Experian Marketing Services reported that 80 percent of marketers planned to run cross-channel marketing campaigns in 2014. More channels, more campaigns and increased volume mean new challenges for fraud-risk managers. Together, fraud and marketing teams can help the top line and the bottom line by preventing bad transactions without impacting the customer experience. The past often can tell a lot about the future. These groups should jointly review past holiday performance in terms of both top-line growth (i.e., successful campaigns) and successful risk strategies that complement those growth objectives and use the insight to form future strategies. Establish a dedicated team responsible for the customer experience — Several of our financial services clients are reporting notable success with digital groups. These teams are responsible for bringing together marketing, risk and consumer experience experts to create and maintain a directional and strategic customer purview across channels. Formalizing the sharing of data, processes and best practices among these traditionally siloed departments is a way to process more customers while reviewing fewer transactions, catching more fraud and providing a hassle-free customer experience. Stay ahead of evolving market conditions — There are some things that are out of retailers’ control, such as the impending October 2015 EMV rollout in the United States. While most point-of-sale transactions will be vastly safer and more secure as a result of the rollout, we have seen card-not-present fraud rise in Europe, where EMV already is in place. This is because criminals will focus their energies on the fraud they can still perpetrate. We also have the proliferation of personalized mobile transactions. While this technology aids in ensuring a seamless customer experience, personal and/or financial information now is being exchanged at an increasing rate and exposing businesses to new fraud risks. Being aware and having a plan to react quickly to the ever-changing fraud landscape can significantly increase the chances of thwarting criminals and keeping businesses safe. Listen to a recording of our 2015 Holiday Fraud webinar to learn how your business can prepare its fraud strategy for this season.

Some of my fondest memories on road trips as a child were the games we were able to play. I’m sure many kids played “I Spy” and did “Sing-a-longs,” but my go-to game was “Slug Bug” (It’s a game where you get points for spotting a Volkswagen Beetle). While it’s been quite some time since I’ve played the game, I still find myself very aware of the different types of vehicles around me. As a matter of fact, if I were to play the game today, I’d probably rack up a number of points for the amount of cross-over utility vehicles (CUVs) I’ve seen on the road lately. There are quite a few. After reviewing Experian Automotive’s most recent Market Trends and Registration analysis, it all made sense. During the first quarter of 2015, the entry-level CUV was the top new registered vehicle segment, up 6.3 percent from a year ago. It also marked the fifth consecutive quarter that the entry-level CUV was the top selling new vehicle segment. It was followed by the small economy car and full-sized pickup truck. The analysis also found that it wasn’t just the CUV that saw an uptick in new registrations. In fact, seven of the top 10 new registered vehicle segments saw increases in sales from a year ago, and 16.6 million new vehicles overall found their way onto U.S. roads in the first quarter of 2015. The spike in new registrations combined with fewer vehicles going out of operation drove the number of vehicles on the road to nearly 253 million, its highest level since the second quarter of 2008. As CUVs continue to stand on top of the mountain of new vehicle sales, and small economy cars sprint pass the full-sized pickup truck, you might think similar patterns have emerged in the overall number of vehicles on the road. But it’s not necessarily the case. Despite falling to the third most purchased new vehicle segment, full-sized pickup trucks remain the most popular vehicle on the road, making up roughly 15 percent of the market. That said, entry-level CUVs have seen the most dramatic increase, rising 12.2 percent from a year ago. Trends in the automotive market can sometimes appear to be cyclical, which is why it’s important for the industry to pay close attention to the data sets available to them. By leveraging the data, dealers, retailers and manufacturers can benefit from the insights to make better business decisions, whether it’s relocating inventory or adapting to consumer demand. Similarly, identifying what vehicles consumers are driving, can do more than help you win in “Slug Bug,” it can help you win in the market.

Health information security breaches and identity theft have become an epidemic with losses occurring across the country. In fact, according to a recent Ponemon Institute study sponsored by the Medical Identity Fraud Alliance, medical ID theft has increased by 21.7 percent since 2013. Additionally, data from the Department of Health and Human Services indicates that health data on more than 120 million people has been compromised in more than 1,100 separate breaches since 2009. In May 2015, CareFirst BlueCross BlueShield, the largest health insurer in the Mid-Atlantic region, reported a cyber-attack that affected 1.1 million past and present customers. This comes on the heels of the February 2015 data breach at Anthem, the second-largest health insurer in the United States that affected about 80 million customers, and Premera Blue Cross’ reported cyber-attack that may impact as many as 11 million people. These attacks reflect an unsettling pattern in cybercrime as identity thieves expand their target from the financial sector into healthcare.The mere fact that health records are now digital makes them a prime target. Providers have now moved rapidly into the digital space and many don’t deploy the same robust security measures taken by their banking counterparts. Furthermore, patients now have unprecedented access to their health information thanks to the widespread use of patient portals. With providers, payers, pharmacies, labs and patients all having access to sensitive records, information security becomes vulnerable to the weakest link in the data chain. To compound the issue, stolen medical identity information is extremely valuable. While a purloined credit card number might fetch $10 on the black market, a stolen medical identity can bring in more than five times that amount. So, what’s the solution? Other major industries including financial services, telecommunications and insurance have been using Big Data and analytics for years to protect their online portals, minimize risk and reduce fraud losses. When applied in a healthcare setting, it is these same techniques that will enable professionals to gain insights that can be turned into actions to protect patient data. For example, identity-matching tools can confirm whether a patient or a physician is who they claim to be, and analyzing data and usage characteristics can more effectively assess the risk of a patient’s remote interaction. In essence, by utilizing these techniques, data can be a force for good – good for the patient, good for the healthcare provider and good for the industry.

With rising insurance costs, deductibles and copays, some people struggle to afford the out-of-pocket expense that can come with seeking medical treatment. Because of this, some consumers decide not to seek treatment, which could have negative effects on their health and overall well-being. While it’s true healthcare organizations do provide financial assistance and often have charity programs to help offset the costs, most do not have the financial resources to absorb a substantial increase in patient debt that is being driven by consumers selecting high deductible health insurance plans then not being able to pay. The additional challenge is that many hospitals and healthcare providers do not have the means to quickly and accurately determine which patients qualify for charity programs, which are able to pay for care, and which patients need payment plans to help them soften the blow from an unforeseen healthcare event. To help address the problem, Experian provides hospitals, medical offices and clinics with unique data and analytics to provide insight into each patient’s financial situation. By leveraging healthcare-specific predictive models, Experian enables healthcare organizations to easily and efficiently determine which patients qualify for financial assistance programs. In short, Experian is using its data for good by helping make patients aware that they qualify for federal benefits or financial assistance, and effectively pairing them with the right program. From a provider standpoint, the data and insight that we provide not only enables them to determine which patients meet the requirements for Medicaid and other grant or charity programs, but also allows them to do so during the registration process, saving them time and effort on the back-end. Gaining insight into a patient’s financial situation also enables healthcare organizations to minimize or avoid potential bad debt, and improve reimbursement rates by connecting patients with financial programs or setting up a payment plan that fits within their current budget. The bottom line is, in order for healthcare organizations to continue to exist and assist patients in need, it’s important for them to remain financially secure. When healthcare organizations are better able to identify the difference between the patients who can pay versus those that are truly in need of and qualify for financial assistance, everybody wins. The patient doesn’t have to worry about a financial burden that they can’t afford and the healthcare organization can operate without the threat of closure. In order to protect their financial well-being, it’s important for healthcare organizations to identify those patients who qualify for financial assistance and those who can afford treatment. Dan Johnson, Experian’s Executive Vice President of Healthcare Strategy, discusses how big data can help answer that question.

A recent study conducted by Experian showed that a majority of vacationers overspend their budgets and rely on credit cards to provide extra funds. At the extreme end, more than half of millennial vacationers (52 percent) lean heavily on their credit cards, racking up vacation debt they’ll be repaying long after their trip comes to an end. The study also found that vacationers are only too happy to take a holiday from their normal good identity protection behaviors, as well. Whether a preventative action before the trip or a check-in after vacation ends, travelers are skipping easy opportunities to keep private information secure: for instance, only 38 percent of vacationers keep sensitive information protected in hotel safes while on holiday, and a disappointing 65 percent don’t have password protection enabled on their mobile phones. As summer begins, don’t give up on the strides you’ve made to spend responsibly and keep your private information secure. Staying in touch with your budget and protection practices year-round mean you won’t be off course when it’s time for a Labor Day weekend barbecue. View the complete survey findings and methodology here: Experian Summer Travel and Budgeting Survey Report, 2015 from Experian_US

Nowadays, whenever you hear news about the automotive industry, a negative tone tends to pop up. Whether it’s the increase in lending to subprime consumers, or the lengthening in loan terms, the stories lead one to believe that the industry is headed toward another “bubble.” However, that’s not necessarily the case. When we look at the data, the automotive finance market actually demonstrates a strong industry as a whole. Yes, it’s true that subprime lending is up. But, lending has increased across all risk tiers. In fact, loans to super prime consumers have actually seen the largest increase in volume compared to last year, approximately 8.5 percent. To take it a step further, the market share of loans to subprime consumers has decreased from a year ago. At its bare bones, what it means is that consumers are not only purchasing cars, but they are taking out loans to do so. Furthermore, given the percentage of loans extended to each risk tier, we see that lenders have not opened up their portfolios to increased risk. Both of which are positive indications of a strong market. We’ve also seen a steady increase in the length of loan terms. However, before anyone comes to any rash conclusions, it’s not as ominous a sign as it may seem. As cars and trucks have become more expensive to purchase, the easiest way for consumer to keep their monthly payments affordable has been to extend the life of their loans. That said, it’s critical for consumers to understand that by taking out a longer loan, they may need to hold onto the vehicle longer to avoid facing negative equity should they trade it in after a few years. An alternate route many consumers have taken to keep their monthly payments affordable has been leasing. In the first quarter of 2015, we saw leasing account for 30.2 percent of all new financed vehicles – its highest level on record. At the end of the day, consumers are continuing to purchase vehicles and that’s a positive sign for the industry. By gaining a deeper understanding of current automotive financing trends, lenders will be able to use the data and insights to their benefit by better meeting the needs of the marketplace and mitigating the risk of their portfolios. And if they do that, the good times can continue to roll for the industry.

The term big data tends to be overused in business today. While some refer to it as a technology and others a level of insight, it has come to embody many different data actions, from business intelligence, to analytics and data modelling. We have become so obsessed with big data that we think we have to have this level of insight as a requirement to running a successful business. And for the most part, that statement is true. Data has proliferated our society to the point that every decision is made with some influence of data. Certainly experience, gut instinct and advice play a critical role, but data has become one of our most constant advisors. We rely on information at a business level for location expansion, product fulfilment, customer loyalty and marketing. But, that same feeling also translates over to our habits as consumers when we rely on data to help make decisions on where to eat dinner, where to buy a home, what businesses to shop with, etc. Data has really changed the way we operate as a society. But as all of us jump onto this big data bandwagon, it is important to remember that big data is not always insightful. The speed at which information is gathered and the volumes we are dealing with today can make information more relevant, but it can also be riddled with errors. Big data has become too big for us to manage. There is a high degree of inaccurate information in businesses today. Recent Experian Data Quality research reveals that almost all businesses have a problem with their data and on average, U.S. businesses believe about 30 percent of their data is inaccurate. That is a shocking figure and shows the degree to which businesses trust their information. Without trust, business stakeholders certainly can’t perform big data analytical exercises and use them to make intelligent decisions about their business. But why is that trust lacking? We frequently see that data can be inaccurate, incomplete or just unconsolidated for a full understanding of the customer. It also can go against the conventional gut wisdom, leaving some executives to disregard it entirely. We tend to like data when it agrees with what we are already thinking. To develop trust around data, we need to realign our expectations. While a third of information may be inaccurate, what does that mean? Is the information you are actually trying to analyze inaccurate? Most of us do not touch the majority of our information assets for insight. So what does it matter if the information we are not accessing is accurate? We need to understand the true need for data in our business. We need to consider how to use data as a force for good. What it really boils down to is being able to access, use and trust data. Information does not have to be perfect for us to achieve that and we don’t have to be able to utilize every data set within our system. To make big data work, businesses need to look at their own needs and decide what is good enough for them. What are the benchmarks within their business that they need to meet to trust and access information for analysis? That means that organizations need to link data across channels and databases, put data governance practices in place and move quickly to ensure information can be used across not just IT, but also across various business stakeholders. In a world dominated by data and technology, we are being forced to adapt. We need to make decisions based on new information rather than purely gut instinct, but we have to make sure the information we are reviewing provides the right insight. Too much data can be problematic. We can get bogged down in it and become unable to make decisions. We have to sift out what actually makes sense to review and what we should discard. Big data doesn’t always have to be this massive effort. It needs to be small and manageable, fit for your business. No two big data efforts are the same. Be sure that as you consider big data within your organization, you are ensuring the accuracy of information and that the data makes sense for each particular project.

Confronted with a vast amount of incoming data, today’s digital marketers are facing an on-going battle to keep up. According to Experian Marketing Services’ 2015 Digital Marketer Report, the biggest hurdles and key priorities for marketers this year are dependent on having accurate, enriched data that can be linked together in a central location for a complete customer view. Moving from fourth place in 2014 to first place in 2015, linkage has quickly moved up the ranks as one of the top the leading barriers to cross-channel success. According to the report, eighty-nine percent of marketers say that they have trouble achieving a single customer view, and a third of those questioned see effective linkage as the main barrier (32 percent) to creating a truly cross-channel marketing strategy. The full 2015 Digital Marketer Report can be downloaded from the Experian Marketing Services’ Website here: http://bit.ly/1AJDYah The biggest challenge identified by marketers for achieving a single customer view is poor data quality (cited by 43 percent of marketers), followed by siloed departments (39 percent) and the inability to link different technologies (37 percent). Experian Marketing Services surveyed more than 1,000 marketers worldwide to identify the biggest opportunities and challenges for marketers from around the world. The annual report benchmarks some of the key issues that brands face trying to engage audiences with relevant messages, in an often complex digital environment. Separate research conducted by Experian Data Quality earlier this year found that 91 percent of companies are leveraging data and data quality in an attempt to optimize their customer experience. However, only 28 percent of companies are creating real-time triggered messaging across multiple channels with their data. To deal with this issue, Experian Marketing Services helps organizations link data sets together to find unique consumer insights, significantly improving the way organizations meaningfully connect with their audiences. “Consumers demand exceptional brand experiences, but without the right strategy and technology for collecting, authenticating, linking and managing all the data coming into an organization today, brands are unable to meet that demand,” said Ashley Johnston, senior vice president, Global Marketing, Experian Marketing Services. “Accurate, enriched data allows brands to stand out from competitors, create relevant interactions based on the deepest understanding of their customers and build successful customer-acquisition strategies as their priorities suggest.” “Achieving single customer view is a key step in the right direction, but fully optimized cross-channel marketing is still the Holy Grail for marketers around the globe. The in-depth process required in setting up a strategy presents a range of hurdles, and there are other important issues to overcome in the process,” said Simon Martin, Experian Marketing Services, UK. “It takes entire companies working together to get a better understanding of their customers and to plan an engagement strategy that will resonate uniquely with each customer at every point of interaction.” A question of linkage The 2015 Digital Marketer Report identified several top barriers to achieving a fully integrated cross-channel marketing approach: no single customer view (32 percent), companies’ current technology (31 percent) and organizational structure of the business (31 percent) came out on top. Around the world The top challenges for marketers from around the world share many similarities, but priorities and barriers differ slightly by region. UK: Single customer view (SCV) and data linkage is seen as more of a challenge than any other, with nearly two-fifths (37 percent) of U.K. respondents saying this was their top challenge, beating organizational structure (33 percent) and the company’s current technology (32 percent). United Kingdom marketers are more likely to believe they understand customer behavior and have a clear roadmap toward cross-channel success (with only 21 percent and 20 percent, respectively, identifying these as challenges) compared to the global average of 25 percent apiece. Europe: The picture in Europe is very different than the United Kingdom. In Spain, only 17 percent of respondents reported the same issue with linkage; instead, the major problem was identified as the company’s current technology (42 percent) as holding them back. French marketers follow a similar pattern and are also more confident with their grasp of linkage, with 24 percent flagging it as an issue. Again, technology (38 percent) is the most pressing concern for French respondents. North America: Organizational structure was identified as the most important issue in North America, with 38 percent of respondents rating this as their highest priority. Respondents also are more likely to say they don’t have a clear roadmap to success (26 percent) than the global average. Asia: In Japan, marketers are confident in their technology, with only 9 percent seeing this as an issue. Instead, 44 percent struggle to link data to create a single customer view. Meanwhile, respondents from Australia and New Zealand identify technology as the largest single challenge to their cross-channel strategy (35 percent). Be sure to check out our 2015 Digital Marketer infographic that highlights key findings from the research.  

The last decade was a tumultuous financial period for Americans. In the mid-to-late 2000s, economic activity declined rapidly and marked the largest downturn since the Great Depression. It is estimated that Americans lost nearly $16 trillion of net worth during this time. To make matters worse, unemployment rates doubled.  The booming U.S. housing market plummeted along with the stock market which caused a chain reaction in exposing significant flaws within the financial ecosystem. America’s credit crisis was in full-effect; the lending market slowed significantly with stricter credit standards with consumer confidence spiraling quickly downhill. Based on a recent Experian analysis of U.S. lending trends related specifically to HELOCs, the shift in market conditions from 2005 to 2014 is evident. I sat down with Experian’s director of Public Education to find out what this all means for consumers and lenders. What exactly is a HELOC?  H-E-L-O-C stands for Home Equity Line of Credit. That means you are using your house as collateral for a line of credit. You can use that line of credit to make purchases up to the HELOC limit. It is similar to a credit card account with one very important difference. Unlike credit credit cards that are unsecured debt, your house serves as security for a HELOC. That means that if you don’t repay the debt, the lender might be able to claim your house as payment. What does end of draw mean? The study revealed that a large portion of HELOC loans were originated between 2005 and 2008. These loans represent $292 billion outstanding, which is significant as this group of loans nears the repayment phase, which is referred to as “end of draw.” At the end of the HELOC terms, the loan terms direct consumers to either enter into a repayment program, which can be structured over time, or to pay the loan off in one lump sum or balloon payment. Should we be concerned that the outstanding HELOC debt could have a negative impact on the economy? The aftermath of the great recession is still rippling through the marketplace, so there are concerns about the pre-recession (2005-2008) HELOCs that are now in repayment and how they could negatively impact consumers and the economy as a whole. The study further evaluated what could happen to these loans as well as other loan products and found that consumers coming to the end of draw on their HELOC are more likely to go delinquent, not just on the HELOC loan, but also on other types of debt as the increase in repayment burden is absorbed by the consumer. However, financial institutions have reached out to their customers to make sure they understand and are prepared for this change in their payment structure. You should work directly with your lender to develop a plan that will help you manage your financial obligations. What should consumers in this situation do? To help borrowers avoid crippling their credit histories, here are five strategies to implement if you are nearing the end of draw period. Know your loan terms— It’s been awhile since you’ve reviewed that loan document so it is a good idea to refresh your memory on what you can expect during this repayment period. Understanding the repayment requirements in your contract with the lender is the foundation for your strategy to navigating any payment increase. Talk with your lender—Banks want borrowers to remain in good financial standing and will work with you during this repayment period. If you anticipate any difficulty making payments, communicate that with your lender so they can help guide you to resources and information.  Evaluate and adjust your budget—Developing a budget to manage payments and other financial commitments is crucial to navigating the payment increase. Are there areas in which you can decrease spending? You can easily trim a few dollars each week by packing your own lunch and getting your ‘cup of joe’ fix by making coffee at home in the morning. Give your cash flow a boost—Can you generate some extra income from your passion or hobby? Sell your crafts on Etsy or your vintage finds on Ebay? Become an Uber driver or freelancer photographer? Creativity can pay off. Don’t be late—I can’t say it enough. Pay all your bills on time. Delinquent payments and collections can have a major negative impact on credit scores. Create calendar alerts or set up automatic payments to avoid this serious credit ding.  To learn more about the analysis, please click here.