For lenders, credit bureau data is vitally important in making informed risk determinations for consumer and small business loans. And the backbone of this data is credit reporting. With the rise of online marketplace lenders, there is a renewed focus on reporting credit data, particularly in light of the rapid growth of this sector. According to Morgan Stanley research, online marketplace loan volumes in the U.S. have doubled every year since 2010, reaching $12 billion in 2014. It is predicted this growth will nearly double by 2020. As more consumers and small businesses flock to online marketplace lenders, these lenders have a growing responsibility to be good stewards of the credit ecosystem, doing their part to support the value of information available for the entire industry – and for their own benefit. After all, failure to report credit data could have an adverse impact on the financial landscape, affecting consumers, small businesses and online lenders themselves. While there are already several online lenders currently reporting credit data, there is still a significant number of the marketplace that do not. So why specifically should marketplace lenders report? 1. Stay One Step Ahead of Regulators. It’s true data reporting is currently voluntary for marketplace lenders. But the Consumer Financial Protection Bureau’s (CFPB) recent activities reflect a growing focus by regulators to advocate for and protect consumers. Voluntary data reporting reflects the spirit of transparency and aligns with many regulatory priorities. By taking proactive steps and reporting data on their own, online lenders can stay one step ahead of regulators, hopefully alleviating the need for new regulations. 2. Gain a Competitive Advantage in the Long Run. Sure, data reporting is about “doing the right thing” for consumers, but it can be good for business too. Online marketplace lenders can gain distinct advantages by reporting. For example, with access to more accurate consumer information, lenders are able to develop and offer more competitive products tailored to the unique needs of their customers. By expanding their offerings, online lenders can differentiate themselves and thereby grow market share. Reporting also enables lenders to emphasize their commitment to consumers as part of their value proposition, demonstrating how they are helping to grow customer credit. Reporting rewards customers with good payment history, allowing them to take advantage of better loan rates and lower fees available to those with exemplary credit scores. This in turn can lead to higher customer satisfaction, loyalty and return business. With access to more complete and comprehensive consumer credit data, online lenders gain a clearer picture of a consumer’s credit worthiness, enabling them to make more informed, and less risky, lending decisions. Reporting also encourages on-time payments. When customers know that lenders report, they are more likely to pay on-time and less likely to default on their debt. 3. Have You Heard of the “Millennials?”  Millennials, and their passion for all things Internet-enabled, are the perfect match for online marketplace lenders. In fact, the latest research from Experian reveals 47 percent of millennials expect to use alternative finance sources in the near future. And 57 percent reported they are willing to use alternative companies and services that innovate to meet their needs. Millennials are clearly more open to nontraditional banking, but at the same time have a greater expectation of transparency, making it all the more important for online marketplace lenders to report credit data. 4. Achieve Data Quality. Complying with Fair Credit Reporting Act (FCRA) data furnishing requirements might seem daunting for marketplace lenders, but there are tools and solutions available to help lenders proactively assess the accuracy of credit data and help identify systemic issues. Marketplace lenders can measure and monitor quality and completeness, dispute metrics, as well as industry and peer-benchmarking data. 5. Qualify More Consumers. With reporting, marketplace lenders can gain access to an invaluable wealth of information that goes well beyond the traditional credit score. Armed with robust analytics, online lenders are in a position to qualify more consumers and small businesses, which creates a significant opportunity to gain long-term customers by improving the overall customer experience. --- Reporting really is a win for marketplace lenders and consumers. In the end, it will contribute to a healthy credit ecosystem and ensure lending decisions are based on the highest quality of information available. For more information about data reporting, including how to start, visit www.experian.com/datareporting. Learn more about data reporting, or about our Online Marketplace Lending track, at Experian's annual Vision Conference in May.

A recent survey commissioned by VantageScore® Solutions, LLC found that among consumers who are unable to obtain credit, 27% attribute the situation to lack of a credit score. Most consumers support newer methods of calculating credit scores 49% feel that consistent rental, utility and telecommunications payments should count in determining credit scores 50% agree that competition in the credit scoring marketplace is beneficial Lenders can help solve the credit gap by using advanced risk models that can accurately score more consumers. The result is a win-win: More consumers get access to mainstream credit, and lenders gain more customers. >> Infographic: America’s Giant Credit Gap VantageScore® is a registered trademark of VantageScore Solutions, LLC.

Loyalty fraud and the customer experience Criminals continue to amaze me. Not surprise me, but amaze me with their ingenuity. I previously wrote about fraudsters’ primary targets being those where they easily can convert credentials to cash. Since then, a large U.S. retailer’s rewards program was attacked – bilking money from the business and causing consumers confusion and extra work. This attack was a new spin on loyalty fraud. It is yet another example of the impact of not “thinking like a fraudster” when developing a program and process, which a fraudster can exploit. As it embarks on new projects, every organization should consider how it can be exploited by criminals. Too often, the focus is on the customer experience (CX) alone, and many organizations will tolerate fraud losses to improve the CX. In fact, some organization build fraud losses into their budgets and price products accordingly — effectively passing the cost of fraud onto the consumers. Let’s look into how this type of loyalty fraud works. The criminal obtains your login credentials (either through breach, malware, phishing, brute force, etc.) and uses the existing customer profile to purchase goods using the payment method on file for the account. In this type of attack, the motivation isn’t to receive physical goods; instead, it’s to accumulate rewards points — which can then be used or sold. The points (or any other form of digital currency) are instant — on demand, if you will — and much easier to fence. Once the points are credited to the account, the criminal cashes them out either by selling them online to unsuspecting buyers or by walking into a store, purchasing goods and walking right out after paying with the digital currency. A quick check of some underground forums validates the theory that fraudsters are selling retailer points online for a reduced rate — up to 70 percent off. Please don’t be tempted to buy these! The money you spend will no doubt end up doing harm, one way or another. Now, back to the customer experience. Does having lax controls really represent a good customer experience? Is building fraud losses into the cost of your products fair to your customers? The people whose accounts have been hacked most likely are some of your best customers. They now have to deal with returning merchandise they didn’t purchase, making calls to rectify the situation, having their personally identifiable information further compromised and having to pay for the loss. All in all, not a great customer experience. All businesses have a fiduciary responsibility to protect customer data with which they have been entrusted — even if the consumer is a victim of malware, phishing or password reuse. What are you doing to protect your customers? Simple authentication technologies, while nice for the CX, easily can fail if the criminal has access to the login credentials. And fraud is not a single event. There are patterns and surveillance activities that can help to detect fraud at every phase of your loyalty program — from new account opening to account logins and updates to transactions that involve the purchase of goods or the movement of currency. As fraudsters continue to evolve and look for the least-protected targets, loyalty programs have come to the forefront of the battleground. Take the time to understand your vulnerability and how you can be attacked. Then take the necessary steps to protect your most profitable customers — your loyalty program members. If you want to learn more, join us MRC Vegas 16 for our session “Loyalty Fraud; It’s Brand Protection, Not Just Loss Prevention” and hear our industry experts discuss loyalty fraud, why it’s lucrative, and what organizations can do to protect their brand from this grey-area type of fraud.

Every portfolio has a set of delinquent customers who do not make their payments on time. Truth. Every lender wants to collect on those payments. Truth. But will you really ever be able to recover all of those delinquent funds? Sadly, no. Still, financial institutions often treat all delinquent customers equally, working the account the same and assuming eventually they’ll get their funds. The sentiment to recover is good, but a lot of collection resources are wasted on customers who are difficult or impossible to recover. The good news? There is a better way. Predictive analytics can help optimize the allocation of collection resources by identifying the most effective accounts to prioritize to your best collectors, do not contact and proceed to legal actions to significantly increase the recovery of dollars, and at the same time reduce collection costs. I had the opportunity to recently present at the annual Debt Buyer Association’s International Conference and chat with my peers about this very topic. We asked the room, “How many of you are using scoring to determine how to work your collection accounts?” The response was 50/50, revealing many of these well-intentioned collectors are working themselves too hard, and likely not getting the desired returns. Before you dive into your collections work, you need to respond to two questions: Which accounts am I going to work first? How am I going to work those accounts? This is where scoring enters the scene. A scoring model is a statistical algorithm that assigns a numerical expression based on known information to predict an unknown future outcome. You can then use segmentation to group individuals with others that show the same behavior characteristics and rank order groups for collection strategies. In short, you allow the score to dictate the collection efforts and slope your expenses based on the propensity and expected amount of the consumer to pay. This will inform you on: What type, if any, skip trace tactic you should use? If you should purchase additional data? What intensity you should work the account? With scoring, you will see different performances on different debts. If you have 100 accounts you are collecting on, you’ll then want to find the accounts where you will have the greatest likelihood to collect, and collect the most dollars. I like to say, “You can’t get blood from a stone.” Well the same holds true for certain accounts in your collections pile. Try all you like, but you’ll never recoup those dollars, or the dollars you do recoup will be minimal. With a scoring strategy, you can establish your “hit list” and find the most attractive accounts to collect on, and also match your most profitable accounts with your best collectors. My message to anyone managing a collections portfolio can be summed up in three key messages. You need to use scoring in your business to optimize resources and increase profits. The better data that goes into your model will net you better performance results. Get a compliance infrastructure in place so you can ensure you are collecting the right way and stay out of trouble. The beauty of scores is they tell you what to do. It will help you best match resources to the most profitable accounts, and work smarter, not harder. That’s the power of scoring.

According to Experian’s latest State of the Automotive Finance Market report, auto loan balances reached an all-time high of $987 billion in Q4 2015 — an increase of 11.5% over Q4 2014.

Compliance definitions LOA, CIP, FACTA, KYC — These acronyms seem endless, and navigating compliance can be both confusing and a painful drain on resources. How do you know the best approach for your institution? Should you look at regulations for Know Your Customer (KYC) or the Customer Identification Program (CIP)? What about the levels of assurance (LOAs) or the Fair and Accurate Credit Transactions Act (FACTA) Red Flags Rule? Does the USA PATRIOT Act affect your industry? The myriad guidelines, rules and mandates surrounding fraud compliance are changing the way organizations do business. Let’s start with some brief definitions. CIP/KYC The Customer Identification Program requires banks to form a reasonable belief that they know the true identity of each customer. The CIP must include procedures that specify the identifying information that will be obtained from each customer, along with reasonable and practical risk-based procedures for verifying each customer’s identity. The Know Your Customer provision is a financial regulatory rule mandated by the Bank Secrecy Act and the USA PATRIOT Act. These guidelines focus on prevention of money laundering and the use of financial institutions to finance terrorist activities. This process has three stages: the CIP, customer due diligence (CDD) and enhanced due diligence (EDD). The last two stages address customer risk from an anti–money laundering perspective. LOA/FACTA (Red Flags Rule) Levels of assurance regarding identity focus on the extent to which electronic authentication may be used to verify that the individual identified in the input data truly is the same person engaging in the electronic transaction. This can be a daunting task — even the National Institute of Standards and Technology acknowledges that electronic authentication of individual people is a technical challenge when performed remotely over an open network. To choose the level of assurance that works within your company structure, you must determine what is needed to maintain the internal compliance and risk thresholds for each business requirement. LOAs are based on two categories: trustworthiness of the identity-proofing process and trustworthiness of the credential-management function (which includes technology and implementation/management). There are four LOA levels: Minimal Assurance Moderate Assurance Substantial Assurance High Assurance The FACTA Red Flags Rule requires institutions to establish a program that identifies ecommerce “red flags.” This program should consist of a pattern, practice or specific activity that indicates the possible existence of identity theft applicable to account-opening activities, existing account maintenance and new activity on accounts that have been inactive for two years or more. Don’t be discouraged In this world of compliance regulations that read like alphabet soup, we understand the challenges of meeting regulations while providing a frictionless customer experience. When an organization strikes the perfect balance between compliance and customer service, it has a competitive advantage that can lead to additional revenue opportunities (e.g., profitably acquiring new customers, detecting fraud and reducing charge-offs, minimizing operational costs, and improving operational efficiencies). To achieve this, businesses need cost-effective, flexible tools that allow them to meet current and future guidelines, manage risk and ultimately authenticate as many true customers as possible — all while segmenting out only the real fraudsters and noncompliant identities. You can be assured that new regulations will come, existing regulations will be redefined and communications on how to comply will be difficult to interpret. To find out more about compliance, click here.

A recent Experian survey shows a growing concern over identity theft and tax fraud. 42% of consumers are concerned that someone could access their personal data through their tax return, compared with 35% in 2014 and 38% in 2015 28% of consumers have been a victim or know someone who has been a victim of tax fraud Tax season is a busy time of year for identity thieves. While consumers should take steps to protect themselves, businesses also need to employ ID theft protection solutions in order to safeguard consumer information. >> Identify and prevent multiple types of fraud

Over the next several years, the large number of home equity lines of credit (also known as HELOCs) originated during the boom period of 2005 to 2008, will begin approaching their end of draw periods. Upon entering the repayment period, these 10-year interest-only loans will become amortized to cover both principal and interest, resulting in payment shock for many borrowers. HELOCs representing $265 billion will reach their end of draw between 2015 and 2018. Now is the time for lenders to be proactive and manage this risk effectively. Lenders with HELOC portfolios aren’t the only ones affected by HELOC end of draw. Non-HELOC lenders also are at risk when consumers are faced with payment shock. Experian analysis shows that it is an issue of consumer liquidity — consumers who reach HELOC end of draw are more likely to become delinquent not only on their HELOC, but on other types of debt as well. If consumers were 90 days past due on their HELOC at end of draw, there was a 112 percent, 48.5 percent and 24 percent increase in delinquency on their mortgage, auto and bankcard trade, respectively. With advanced data and analytics, lenders can be proactive in managing the risk associated with HELOC end of draw. Whether your customer has a HELOC with you or with another lender or is a new prospect, having the key data elements to obtain a full view of that consumer’s risk is vital in mitigating HELOC end-of-draw risk. Lenders should consider partnering with companies that can help them develop and deploy HELOC risk strategies in the near future. It is essential that lenders proactively plan and are well-positioned to protect their businesses from HELOC end-of-draw risk. Experian HELOC end of draw study

Accuracy matters. It matters in dart throwing, math calculations, and now more than ever, in data reporting. The Consumer Financial Protection Bureau (CFPB) issued a bulletin on Feb. 3 warning banks and credit unions that if they fail to meet accuracy obligations when reporting negative account histories to credit reporting companies, the result could be bureau action. As noted in the Fair Credit Reporting Act (FCRA) section 623, data furnishers have an obligation to ensure the accuracy of the information furnished to a Credit Reporting Agency (CRA). Violation of these rules presents a variety of risks, and the regulatory agencies have enforced harsh consequences. Avoiding penalties is certainly a strong incentive for data furnishers to implement a formal compliance management system and data quality program. But there are additional benefits to ensuring accuracy – most notably keeping customers happy and loyal, and maintaining a reputable brand in the marketplace. Today’s consumers increasingly understand the impact of credit scoring and data reporting, and recognize a poor credit score can impact their lives in major ways. Credit is tied to so many milestone financial moments. Securing mortgage loans, auto loans, obtaining low-interest rate interest credit cards and securing private student loans can all be derailed with an unfavorable and inaccurate credit report. Not to mention credit reports can influence one’s eligibility for rental housing, setting premiums for auto and homeowners insurance in some states, or determining whether to hire an applicant for a job. To properly serve customers who simply expect a fair and accurate representation of their financial history, data furnishers must be able to guarantee the credibility of their reported data. Those organizations that cannot ensure accuracy put their reputation at risk and may lose a customer’s trust and business. “Consumers should not be sidelined out of the basic banking services they need because of the flaws and limitations in a murky system,” Cordray said in the bulletin. “People deserve to have more options for access to lower-risk deposit accounts that can better fit their needs.” The CFPB has handled more than 105,000 credit-reporting complaints in its short history, making credit reporting the third most-complained-about consumer issue. By far the most common types of credit-reporting issues identified by consumers is incorrect information on credit report (77 percent).* Certainly these mistakes are not made intentionally. But speak to a consumer battling an inaccuracy, especially someone in the midst of applying for credit for a specific need, and frustrations can soar quickly. All lenders are advised to maintain a full 360-degree view of data reporting, from raw data submissions to the consumer credit profile. Better data input equals fewer inaccuracies. Additionally, there are comprehensive reporting solutions available to assess the accuracy of consumer credit data. The regulatory environment will without a doubt continue to be a hot topic in the media, fueled by announcements such as these by the CFPB, so lenders should take note and identify processes to ensure complete and utter accuracy. It matters in so many ways, so it’s best to make data reporting a priority now, if it’s not already. Source: CFPB August 2015 Monthly Complaint Report

According to the latest Experian–Oliver Wyman Market Intelligence Report, HELOC originations came in at $43 billion for Q4 2015 — a 22% increase over Q4 2014. HELOC originations for all of 2015 totaled $160 billion — a 21% increase year over year. As HELOC originations continue their growth trend, lenders can stay ahead of the competition by using advanced analytics to target the right customers and increase profitability. >> Revamp your mortgage and HELOC acquisitions strategies

Understanding the behaviors of best-in-class credit risk managers For financial institutions to achieve superior performance, having the appropriate set of credit risk managers is a prerequisite. The ability to gain insight from data and customer behavior and to use that insight for strategic advantage is a critical ingredient for success. At the same time, the risk-management community is under increasing pressure to understand and explain underlying trends in credit portfolios — and to monitor, interpret and explain these trends with ever-greater accuracy. A common problem financial institutions face when confronting staff resource needs is the difficulty in recruiting and retaining experienced risk-management professionals. The risk-management community is notoriously small, and hiring expertise from within this community is extremely difficult. Skilled risk managers truly are a finite resource, but their skill set is in huge demand. Hiring the right talent is crucial to job satisfaction, leading to higher engagement levels and reduced attrition costs. On top of that, employee engagement is vital to an organization’s success. It drives employee productivity and fosters a culture of innovation, which leads to higher profitability for the entire organization. Building, attracting and retaining risk-management resources requires a commitment to engaging in staff personal development. A great way to support employee engagement is to invest in their personal and professional development, including opportunities for training and team building. If an organization can show that it is committed to developing its people and providing opportunities for career growth, employee engagement levels will rise, with all the benefits this entails. Typically, financial institutions bridge the resource skill gap by either hiring skilled statistical and analytical experts or developing in-house resources. Both of these approaches, however, require significant on-the-job training to teach employees how to link raw statistical techniques and procedures to influencing the profit and loss statement of the business line which they support. The challenge is often broadening the understanding of these skill set “silos” and their contribution to the overall portfolio. By opening that view, the organization generates additional value from these resources as lines of communication are improved and insights and opportunities found within the data are shared more effectively across the organizational team. Experian’s Global Consulting Practice provides a solution to this problem. Our two-day Risk and Portfolio Management Essentials training workshop offers the opportunity to understand the behaviors of best-in-class risk managers. What are the tools and enablers required for the role? How do they prepare for the process of managing credit risk? What areas must risk managers consider managers across the Customer Life Cycle? What differentiates the good from the great? To complement the training modules, Experian® offers an interactive, team-based approach that engages course participants in the build options of a defined portfolio. Participants leverage the best-in-class techniques presented in the sessions in a series of competitive, team-based exercises. This set of cross-organizational exercises drives home the best-in-class techniques and further builds understanding that resonates across the organization long after the course is concluded. For our current offerings, locations and to register click here.  

What is blockchain? Blockchain is beginning to get a lot of attention, so I thought it might be time to figure out what it is and what it means. Basically, a blockchain is a permissionless, distributed database that maintains a growing list of records (transactions) in a linear, chronological (and time-stamped) ledger. At a high level, this is how it works. Each computer connected to the network gets a copy of the entire blockchain and performs the task of validating and relaying transactions for the whole chain. The batches of valid transactions added to the record are called “blocks.” A block is the “current” part of a blockchain that records some or all of the recent transactions and once completed goes into the blockchain as a permanent database. Each time a block gets completed, a new block is created, with every block containing a hash of the previous block. There are countless numbers of blocks in the blockchain. To use a conventional banking analogy, the blocks would be a full history of every banking transaction for every person, and the blockchain would be a complete banking history. The entire blockchain is sent to everyone who has access, and every user validates the information in the block. It’s like if Tom, Bob and Harry were standing on the street corner and saw a cyclist hit by a car. Individually, all three men will be asked if the cyclist was struck by the car, and all three will respond “yes.” The cyclist being hit by the car becomes part of the blockchain, and that fact cannot be altered. Blockchain generally is used in the context of bitcoin, where similar uses of the structure are called altchains. Why should I care or, at the very least, pay attention to this movement? Because the idea of it is inching toward the tipping point of mainstream. I recently read an article that identified some blockchain trends that could shape the industry in coming months. The ones I found most interesting were: Blockchain apps will be released Interest in use cases outside payments will pick up Consortia will prove to be important Venture capital money will flow to blockchain start-ups While it’s true that much of the hype around blockchain is coming from people with a vested interest, it is beginning to generate more generalized market buzz as its proponents emphasize how it can reduce risk, improve efficiency and ultimately provide better customer service. Let’s face it, the ability to maintain secure, fast and accurate calculations could revolutionize the banking and investment industries, as well as ecommerce. In fact, 11 major banks recently completed a private blockchain test, exchanging multiple tokens among offices in North America, Europe and Asia over five days. (You can read The Wall Street Journal article here.) As more transactions and data are stored in blockchain or altchain, greater possibilities open up. It’s these possibilities that have several tech companies, like IBM, as well as financial institutions creating what has become known as an open ledger initiative to use the blockchain model in the development of new technologies that will enable a wider array of services. There is no doubt that the concept is intriguing — so much so that even the SEC has approved a plan to issue stock via blockchain. (You can read the Wired article here.) The potential is enough to make many folks giddy. The idea that risk could become a thing of the past because of the blockchain’s immutable historical record — wow. It’s good to be aware and keep an eye on the open ledger initiative, but let’s not forget history, which has taught us that (in the wise words of Craig Newmark), “Crooks are early adopters.” Since blockchain’s original and primary usage has been with bitcoin, I don’t think it is unfair to say that there will be some perceptions to overcome — like the association of bitcoin to activities on the Dark Web such as money laundering, drug-related transactions and funding illegal activities. Until we start to see the application across mainstream use cases, we won’t know how secure blockchain is or how open business and consumers will be to embracing it. In the meantime, remind me again, how long has it taken to get to a point of practical application and more widespread use of biometrics? To learn more, click here to read the original article.  

According to a recent Experian Marketing Services study, 36% of companies interact with customers in five or more channels.

Ensure you’re protecting consumer data privacy Data Privacy Day is a good reminder for consumers to take steps to protect their privacy online — and an ideal time for organizations to ensure that they are remaining vigilant in their fight against fraud. According to a new study from Experian Consumer Services, 93 percent of survey respondents feel identity theft is a growing problem, while 91 percent believe that people should be more concerned about the issue. Online activities that generate the most concern include making an online purchase (73 percent), using public Wi-Fi (69 percent) and accessing online accounts (69 percent). Consumers are vigilant while online Most respondents are concerned they will fall victim to identity theft in the future (71 percent), resulting in a generally proactive approach to protecting personal information. In fact, almost 50 percent of respondents say they are taking more precautions compared with last year. Ninety-one percent take steps to secure physical information, such as shredding documents, while also securing digital information (using passwords and antivirus software). Many consumers also make sure to check their credit report (33 percent) and bank account statements (76 percent) at least once per month. There’s still room for consumers to be safer Though many consumers are practicing good security habits, some aren’t: More than 50 percent do not check to see if a Website is secure Fifty percent do not have all their Web-enabled devices password-protected because it is a hassle to enter a password (30 percent) or they do not feel it is necessary (25 percent) Fifty-five percent do not close the Web browser when they are finished using an online account Additionally, 15 percent keep a written record of passwords and PINs in their purse or wallet or on a mobile device or computer Businesses need to be responsible when it comes data privacy  Customer-facing businesses must continue efforts to educate consumers about their role in breach and fraud prevention. They also need to be responsible and apply comprehensive, data-driven intelligence that helps thwart both breaches and the malicious use of breached information and protect all parties’ interests. Nearly 70 percent of those polled in a 2015 Experian–Ponemon Institute study said that the increased visibility and media reporting of breaches, including payment-related incidents, have caused their organizations to step up data security efforts. Experian Fraud & ID is uniquely positioned to provide true customer intelligence by combining identity authentication with device assessment and monitoring from a single integrated provider. This combination provides the only true holistic view of the customer and allows organizations to both know and recognize customers and to provide them with the best possible experience. By associating the identities and the devices used to access services, the true identity can be seen across the customer journey. This unique and integrated view of identity and device delivers proven superior performance in authentication, fraud risk segmentation and decisioning. For more insights into how businesses are responding to breach activities, download our recent white paper, Data confidence realized: Leveraging customer intelligence in the age of mass data compromise. For more findings from the study, view the results here.

Who will take the coveted Super Bowl title in 2016? Now that we’re down to the final two teams, the commentary will heighten. Sportscasters, analysts, former athletes, co-workers ... even your local barista has an opinion. Will it be Peyton Manning's Denver Broncos or the rising Carolina Panthers? Millions will make predictions in the coming weeks, but a little research can go a long way in delivering meaningful insights. How have the teams been trending over the season? Are there injuries? Who is favored and what’s the spread? Which quarterback is leading in pass completions, passing yards, touchdowns, etc.? Who has been on this stage before, ready to embrace the spotlight and epic media frenzy? The world of sports is filled with stats resulting from historical data. And when you think about it, the world of credit could be treated similarly. Over the past several years, there has been much hype about “credit invisibles” and the need to “score more.” A traditional pull will likely leave many “no-file” and “thin-file” consumers out, so it’s in a lender’s best interest to leverage alternative scoring models to uncover more. But it’s also important to remember a score is just a snapshot, a mere moment in time. How did a consumer arrive to that particular score pulled on any given day? Has their score been trending up or down? Has an individual been paying off debt at a rapid pace or slipping further behind?   Two individuals could have the exact same score, but likely arrived to that place differently. The backstory is good to know – in sports and in the world of credit. Trended data can be attached to balances, credit limits, minimum payment due, actual payment and date of payment. By assessing these areas on a consumer file for 24 months, more insights are delivered and lenders can take note of behavior patterns to assist with risk assessment, marketing and share-of-wallet analysis. For example, looking closer at those consumers with five trades or more, Experian trended data reveals: 27% are revolvers, carrying balances each month 27% are transactors, paying off large portions, or all of their balances 9% are rate surfers, who tend to frequently transfer balances to credit cards with 0% or low introductory rates. Now these consumers can be viewed beyond a score. Suddenly, lenders can look within or outside their portfolio to understand how consumers use credit, what to offer them, and assess overall profitability. In short, trended data provides a more detailed view of a borrower’s historical credit performance, and that richness makes for a more informed decision. Without a doubt, there is power in the score – and being able to score more – but when it comes time to place your bets, the trended data matters, adding a whole new dimension to an individual’s credit score. Place your wagers accordingly. As for who will win Super Bowl 2016? I haven’t a clue. I’m more into the commercials. And I hear Coldplay is on for the half-time show. If you’re betting, best of luck, and do your homework.