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The pandemic changed nearly everything – and consumer credit is no exception. Data, analytics, and credit risk decisioning are gaining an even more significant role as we grow closer to the end of the global crisis. Consumers face uneven roads to recovery, and while some are ready to spend again, others are still dealing with pandemic-related financial stress. We surveyed nearly 9,000 consumers and 2,700 businesses worldwide about how consumers are stabilizing their finances and businesses are returning to growth for our new Global Decisioning Report. In this report, we dive into: Key business priorities in 2021 Financial concerns for consumers How to navigate an uneven recovery Business priorities for the year ahead The importance of the online experience As we begin to near the end of the pandemic, businesses need to prioritize technology that enables a responsive, flexible, efficient and confident approach. This can be done by leveraging advanced data and analytics and integrating machine learning tools into model development. By investing in the right credit risk decisioning tools now, you can help ensure your future. Download the report

As quarantine restrictions lift and businesses reopen, there is still uncertainty in the mortgage market. Research shows that more than two million households face foreclosure as moratoriums expire. And with regulators, like the Consumer Financial Protection Bureau (CFPB), urging mortgage servicers to prepare for an expected surge in homeowners needing assistance, lenders need the right resources as well. One of the resources mortgage lenders rely on to help gain greater insight into their borrower’s financial picture is income and employment verification. The challenge, however, is striking the right balance between gaining the insights needed to support lending decisions and creating a streamlined, frictionless mortgage process. There are three main barriers on the path to a seamless and digital verification process. Legacy infrastructure Traditional verification solutions tend to rely on old technology or processes. Whether a lender’s verification strategy is centered around a solution built on older technology or a manual process, the time to complete a borrower verification can vary from taking a day to weeks. Borrowers have grown accustomed to digital experiences that are simple and frictionless and experiencing a drawn out, manual verification process is likely to impact loyalty to the lender’s brand. Stale employment and income data The alternative to a manual process is an instant hit verification solution, with the aim to create a more seamless borrower experience. However, lenders may receive stale borrower income and employment data back as a match. Consumer circumstances can change frequently in today’s economic environment and, depending on the data source the lender is accessing, data may be out of date or simply incorrect. Decisioning based on old information is problematic since it can increase origination risk. Cost and complexity Lenders that use manual processes to verify information are adding to their time to close and ultimately, their bottom line by way of time and resources. Coupled with pricing increases, lenders are paying more to put their borrowers through a cumbersome and sometimes lengthy process to verify employment and income information. How can mortgage lenders avoid these common pitfalls in their verification strategy? By seeking verification solutions focused on innovation, quality of data, and that are customer-centric. The right tool, such as Experian VerifyTM, can help provide a seamless customer experience, reduce risk, and streamline the verification process. Learn more

Expanded FCRA regulated data can help lenders extend more credit, and ensure consumers have access to affordable credit when they need it.

Experian's Q1 2021 State of the Automotive Finance Market report explores the benefits of leveraging both national and regional data when strategizing.

The tax gap—the difference between what taxpayers should pay and what they actually pay on time—can have a substantial impact on states’ budgets. Tax agencies and other state departments are responsible for helping states manage their budgets by minimizing expected revenue shortfalls. Underreported income is a significant budget complication that continues to frustrate even the most effective tax agencies, until the right tools are brought into play.   The Problem Underreporting is a large, complex issue for agencies. The IRS currently estimates the annual tax gap at $441 billion. There are multiple factors that comprise that total, but the most prevalent is underreporting, which represents 80% of the total tax gap. Of that, 54% is due to underreporting of individual income tax. In addition to being the largest contributor to the tax gap, underreporting is also extremely challenging to identify out of the millions of returns being filed. With 85% of taxes owed correctly reported and paid, finding underreporting can be like trying to locate a needle in the proverbial haystack. Making this even more challenging is the limited resources available for auditing returns, which makes efficiency key. The Solution Data, combined with artificial intelligence (AI) equals efficient detection. The problem with trying to detect which returns are most likely to have underreported income is similar to many other challenges Experian has solved with AI. Partnerships between Experian and state agencies combine what we know about consumers with what their agency knows about their population. We can take the data and use AI to separate the signal from the noise, finding opportunities to recoup lost revenue. Read our case study on how Experian was able to help an agency identify instances of underreporting, detecting an estimated $80 million annual lost revenue from underreported income. Download case study Contact us

Trends can vary based on location. In the Q1 2021 State of the Automotive Finance Market report, we took a look at market share nationally and regionally.

Fintechs have been an enormously disruptive force of change in financial services over the past 10 years. From digital payments, lending, insurance, digital banks, to personal finance and many other subsectors in between, fintechs have rapidly transformed everything from business and operating models to customer expectations. It’s this innovative drive that is celebrated and fostered each year at LendIt Fintech - a conference that brings together the fintech and financial services community to connect and reimagine the future of finance. And there may not be another year on record that called for the reimagining of finance more than 2020. Last year, the financial services industry – from consumers, fintechs and other subdivisions across the globe – endured many changes and challenges due to the COVID-19 pandemic. But it also brought accelerated innovations; and with them, increased customer expectations and a focus on financial equity and inclusion. As consumer credit scores and demand for credit continue to rise, fintechs have an opportunity to re-examine what credit looks like in a post-COVID lending environment, and explore opportunities for growth in 2021. Experian’s Chief Product Officer Greg Wright tackled this topic at the recent Lendit Fintech conference, alongside Ibo Dusi of Happy Money, Myles Reaz of Upgrade and the Garry Reeder with the American Fintech Council. Watch the full panel discussion in the video below and hear more about: How panelists define data, alternative data and how it factors in their lending How alternative data can help drive financial inclusion and get to a ‘yes’ more often with consumers Using data to make the consumer experience more frictionless and seamless For more information about how Experian can help fintech organizations of all sizes reach their business and lending goals, visit our fintech solutions page. Explore Experian's Fintech Solutions

The COVID-19 pandemic has created shifting economic conditions and rapidly evolving consumer preferences. Lenders must keep up by re-evaluating their strategies to accelerate growth and beat the competition. Here's how AI/ML can help your organization evolve post-COVID-19: With the democratization of AI/ML, lenders of all sizes can now use this technology to grow their lending and optimize for strategic growth. Register for our upcoming webinar to see how lenders like Elevate have incorporated this new technology into their business processes. Register now

Experian recently announced its expansion into Employer Services and the release of a new suite of real-time income and employment verification products, Experian Verify™. The COVID-19 pandemic amplified lenders' need for deeper insights into a consumer's financial situation. At the same time, employers were flooded with record-breaking unemployment claims, while managing stay-at-home orders, income and employment verification fulfillment requests, and more. "We're committed to helping employers, businesses, lenders, and consumers on the road to recovery from the pandemic and beyond," said Alex Lintner, Group President Experian Consumer Information Services. "To support this, we're building two businesses: Experian Employer Services and Verification Solutions. These businesses will create meaningful change and provide our clients with competitive options to achieve their verification needs while helping improve access to credit for consumers." With Experian Verify, lenders can quickly and easily create a more complete picture of a consumer's financial situation by verifying an applicant's income and employment status. Powered by our growing network of payroll and proprietary employer data, Experian Verify offers lenders flexible and secure access to income and employment records. With a consumer's consent, lenders can request the information from Experian and an income and employment report can be delivered to lenders through an API, online Experian dashboard, or paired with an Experian credit report. "As we begin to recover from the COVID-19 pandemic and employers are reopening their doors, we're confident we have assembled the best-of-the-best to help employers overcome their toughest challenges. We're committed to leveraging our combined capabilities and focus on high-touch customer service to deliver secure, scalable and transparent services to employers," said Michele Bodda, President of Experian Mortgage, Employer Services and Verification solutions. Visit us for more information on Experian Verify and Experian's Employer Services. Contact us

AutoCheck® is a powerful vehicle history report that helps take the unknown out of the used car buying process, so you can confidently understand, compare, and select a vehicle that is right for you. Only AutoCheck vehicle history reports include the patented AutoCheck Score, which summarizes vehicle history data into an easy to understand ‘Score” along with an equivalent score range. The patented AutoCheck Score predicts the likelihood a car will be on the road in 5 years. It compares vehicles of similar age and class based on a scale of 1-100. The AutoCheck Score is based on a proprietary model to help you understand a vehicles predicted reliability as it pertains to age, number of owners, accidents and other vehicle history factors. Watch this video to learn more about the AutoCheck vehicle history report and how it can help you identify hidden damage and accident events to avoid costly mistakes. Contact us to learn more about becoming an AutoCheck subscriber.

For credit unions of all sizes, choosing a strategic partner with the right tools, capabilities, and industry expertise to support growth while minimizing expenses is a decision critical to the bottom line. This is especially important, since the goal of achieving sustainable growth has continued to be a trending topic for credit unions since the start of the pandemic. According to this CU Times analysis of NCUA data, the fourth quarter of 2020 showed that high overhead per assets was the main factor holding down net income, and credit unions with less than $1 billion in assets fared the worst. These high overhead costs kept margins low and served to be a key contributing factor in gauging a credit union’s profitability. Overcoming this problem lies not only in improving operational efficiency, but in seeking out partners that can provide innovative insight and “right-sized,” scalable solutions to help credit unions effectively grow at a strategic pace. The less money a credit union spends earning each dollar, the more operationally efficient and resource-savvy it becomes—which in turn generates more value for both the credit union and its members. So how can a credit union successfully assess a potential partner’s ability to help them achieve goals for sustainable growth? Asking three key questions can reveal a potential partner’s operational prowess and their ability to understand and offer the right solutions tailored for an individual credit union’s need. Minimize Overhead with a Partner Who Can Help Accelerate and Support Sustainable Growth: Evaluation Questions to Ask 1. Does my potential partner offer solutions to ease the strain on staff, or help automate time-consuming, repetitive tasks and processes? Automation is not only for large credit unions. Employees at credit unions with $4 billion and less in assets often wear many hats and manage the full spectrum of credit activities, leaving leaders to ponder how much time staff is spending on rote, manual tasks throughout the end-to-end member lifecycle. As a result, credit unions are turning to automated decisioning to streamline repetitive tasks and meet increasing member expectations, while also reducing risk. To drive sustainable growth, credit unions will want to look at current processes as a means of measuring efficiency. Can existing programs handle growth to scale in all areas of the business? How can digital lending automation be increased and free up more time for staff to focus attention where it is needed most, such as high-value engagements with members and delivering a personalized member experience? Can self-service tools save your credit union valuable time and increase employee satisfaction? 2. Does my potential partner have access to the right data, advanced analytics and technology to help optimize credit decisioning? As credit unions consider different ways to minimize overhead and accelerate growth, the last few years have shown that automation, coupled with advanced analytics and technology, has taken on a second wave of focus and intense interest. A significant opportunity pertaining to automation is supporting decisioning throughout the member lifecycle, again, eliminating the need for manual processes that cannibalize time and resources. For example, access to advanced analytics and data at the onset of account acquisition can quickly inform a lender as to whether a new account should be approved or declined. Furthermore, it also presents an opportunity to lend deeper. Credit unions can leverage expanded datasets to perform an analysis on rejected applicants and make more predictive decisions – leading to incremental loans. Additionally, lenders have identified other areas where automated decisioning could speed up processes that once required manual evaluation – from account and portfolio management, to marketing and prescreening efforts, to managing early and late-stage delinquent accounts. By leveraging a partner who can support optimizing credit decisioning with the freshest data and analytics, credit unions can routinely and consistently be sure they’re making the right offers and decisions to the right customer at the right time. 3. Does my potential partner offer digital-first strategies and solutions that help reduce friction and improve the member experience? More and more members are interacting and engaging with their credit unions via digital channels. To meet their demands, credit unions – who have historically prioritized other initiatives over digital transformation– are quickly pivoting and rethinking their digital strategy to offer best-in-class digital banking and borrowing experiences, while also reducing friction. Part of this strategy includes smart, easy and well-designed applications that support sustainable growth simply by streamlining offers and reducing abandonment. When considering a potential partner, take into consideration their ability to assist with digital-first solutions, including: Real-time income and employment verification, and fraud tools to quickly and accurately confirm important factors, including the legitimacy of members, and streamline the borrowing process with minimal friction. Instant prescreen, self-service prequalification and instant credit to offer fast, easy, and convenient real-time credit decisions for members. Additionally, improving lending economics with a digital-first pre-qualification tool can not only better serve members, but also drive more apps and grow loans. Artificial intelligence, machine learning and other innovative technologies to enhance underwriting and decrease both hard inquiries on applications and the need for extensive underwriter review. Prequalification tools powered by innovative technology solutions can lead to efficient use of underwriter resources and act as a filter in front of the LOS to remove unqualified applications from hard inquiries. Technology that integrates with multiple lending and core systems and delivers solutions that integrate with multiple systems and channels. For example, to help improve conversion, the borrower experience can be offered a simple application that is designed to “get to offer” as fast as possible. This helps reduce abandonment. The process can be further streamlined by integrating data sources for ID verification, auto fill assistance and adding integrations with existing lending and core systems. To learn more about Experian and how our solutions can support and grow your credit union, contact us now. Contact Us

To grow in today’s economic climate and beat the competition, financial institutions need to update their acquisition and cross-sell strategies. By doing so, they are able to drive up conversions, minimize risk, and ultimately connect consumers with the right offers at the right time. Businesses and consumers are spending more time online than ever before, with 40% of consumers increasing the number of businesses they visit online. They’ve also made it clear that they expect easy, frictionless transactions with their providers. This includes new accounts and offers of credit – creating the need for better delivery systems. Effective targeting and conversion come down to more than just direct mail and email subject lines, especially now in a volatile economy where consumers are seeking appropriate products for their current situation. Be the first to meet consumers’ needs by leveraging the freshest data, advanced analytics, and automated decision systems. For example, when a consumer tries to open a checking account, the system can initiate a “behind-the-scenes” real-time prescreen request while assessing information needed to open the deposit account. The financial institution can then see if the consumer qualifies for overdraft protection, refinancing offers, loans, credit cards, and more. By performing the pre-approval process in seconds, financial institutions can be sure that they're making the right offers to the right customer, and doing it at the right time. All of this helps to increase the offer acceptance rate, improving customer retention, and maximizing customer account life-time value. The pandemic upended a lot of the ways that your businesses run day-to-day – from where you work to how you (better) engage with customers. Arguably, some of the changes have been long overdue, particularly the acceleration to digital and better customer acquisition strategies. Ahead lies the opportunity to grow – strategies enacted now will determine the extent of that opportunity. To learn more about how Experian can help you assess your prescreen strategy and grow, contact us today. Request a call

As the used vehicle market continues to thrive, a vehicle history report is more vital than ever. There can be hidden risk associated with used cars. It’s important for dealers to ensure the safety of their inventory for car shoppers. This is why dealers need to consistently use vehicle history reports when acquiring vehicles from the auction. AutoCheck vehicle history reports include data from 95% of all U.S. Auction Houses, with most providing exclusive structural damage announcement information. We want to help dealers feel more confident in the used vehicles they bring into their inventory. Contact us to learn more about becoming an AutoCheck subscriber.

Recently, I wrote about how Experian is assisting NASWA (National Association of State Workforce Agencies) with identity verification to help mitigate the spike in fraudulent unemployment insurance claims. Because of this I was not all that surprised when I found a letter in my mailbox from the Texas Workforce Commission with a fraudulent claim using my identity, inspiring me to follow up on this topic with a focus on fraud prevention best practices. Identity theft is on the rise According to Experian data analysis and a recent study on unemployment insurance fraud, at least 25% of new claims are a result of identity theft. This is 50 times higher than what we have traditionally seen in the highest ID theft fraud use case, new credit card applications, which generally amounts to less than 0.5% of new applications. Increasing digitization of the last few years—culminating in the huge leap forward in 2020—has resulted in a massive amount of information available online. Of that information, a reported 1.03 billion records were exposed between 2016 and 2020. There are currently approximately 330 million Americans, so on average more than three records per person have been exposed, creating an environment ripe for identity theft. In fact, a complete identity consisting of name, address, date of birth, and Social Security number (SSN) can be purchased for as little as $8. This stolen data is then often leveraged by both criminal rings who are able to perpetrate fraud on a large scale and smaller scale opportunists – like the ones in Riverside, CA leveraging access to identities of prison inmates. Fraud prevention through layered identity controls In the 20 years that I have been combatting ID theft both in the private and public sectors, I’ve learned that the most effective identity proofing goes beyond traditional identity resolution, validation, and verification. To be successful, you must take advantage of all available data and incorporate it into a layered and risk-based approach that utilizes device details, user behavior, biometrics, and more. Below, I outline three key layers to design an effective process for ID proofing new unemployment insurance claims. Layer 1: Resolve and Validate Identities Traditional identity data consists of the same basic information—name, address, date of birth, telephone number, and SSN—which is now readily available to fraudsters. These have been the foundation for ID proofing in the past and are still critical to resolving the identity in question. The key is to also include additional identity elements like email address and phone number to gain a more holistic view of the applicant. Layer 2: Assess Fraud Risk Determining an identity belongs to a real-life subject is not sufficient to mitigate the risk of ID theft associated with a new unemployment insurance claim. You must go beyond identity validation to assess the risk associated with their claim. Risk assessment risk falls into two categories – identity and digital risk. Identity Risk When assessing a claim, it’s important to check the identity for: Velocity: How often have you (or other states) seen the information being presented with this application? Has the information been associated with multiple identities? Recency of change: How long has the identity been associated with the contact information (phone, email, address, etc.)? Red flags: Has the subject been a recent victim of ID theft, or are they reported as deceased? Synthetic Identity: Are there signs that the identity itself is fictitious or manipulated and does not belong to a real-life person? Digital Risk Similar to the identity risk layer above, the device itself and how the subject interacts with the device are significantly important in identifying the likelihood a new claim is fraudulent. Device risk can be assessed by utilizing geolocation and checking for inconsistent settings or high-risk browsers, while behavioral risk might check for mouse movement, typing speed, or screen pressure. Layer 3: Verify Highest Risk Subjects The final stage in this process is to require additional verification for the highest risk claims, which helps to balance the experience of your valid subjects while minimizing the impact of fraud. Additional steps might include: Document verification: Scanning a government-issued ID (driver’s license, passport, or similar), which includes assessing for document security features and biometric comparison to the applicant. One-time passcode (OTP): It is key to deploy this sparingly only to phone numbers that have been associated with the subject for a significant time frame and incorporate checks to determine if it is at high risk (e.g., recently ported or forwarded). Knowledge-based verification (KBV): Leveraging non-public information from a variety of sources. By adding additional, context-based identity elements, it becomes possible to improve the three main objectives of most agencies’ identity proofing process – get good constituents through the first time, protect the agency and citizens from fraud, and deliver a smooth and secure customer experience in online channels. While there’s no quick fix to prevent unemployment insurance fraud, a layered identity strategy can help prevent it. Finding a partner that has a single, holistic solution empowers agencies to defend against unemployment insurance fraud while minimizing friction for the end-user, and preparing for future fraud schemes. To learn more about how you can protect your constituents and your agency from unemployment insurance fraud request a call today. Contact us

In today’s digital-first environment, fraud threats are growing in sophistication and scope. It’s critical for credit unions to not only understand the specific threats presented by life online, but to also be prepared with a solid fraud detection and prevention plan. Below, we’ve outlined a few fraud trends that credit unions should be aware of and prepared to address. 2021 Trends to Watch: Digitization and the Movement to Life Online Trend #1: Digital Acceleration As we look ahead to the rest of 2021 and beyond, we expect to see adoption of digital strategies nearing the top of credit unions’ list of priorities. Members’ expectations for their digital experience have permanently shifted, and many credit unions now have members using online channels who traditionally wouldn’t have. This has led to a change in the types of fraud we see as online activities increased in volume. Trend #2: First-Party Fraud is On the Rise First party fraud is on the rise – 43% of financial executives say that mule activity is up 10% or more compared to attack rates prior to the pandemic, according to Trace Fooshee, Senior Analyst for Aite Group, and we expect to see this number grow. The ability for credit unions to identify and segregate the “good guys” from “bad guys” is getting more difficult to discern and this detail is more important than ever as credit unions work to create frictionless digital experiences by using digital tools and strategies. Trend #3: Continual Uptick in Synthetic Identity Fraud We expect synthetic identity fraud (SID) to continue to rise in 2021 as cybercriminals become more sophisticated in the digital space and as members continue with their new digital habits. Additionally, fraudsters can use SIDs to bring significant damage and loss to credit unions through fraudulent checks, debit cards, person-to-person and automated clearing house (ACH) transactions. More and more, fraudsters are seen opening accounts and remaining very patient – using an account to build and nurture a trusted relationship with the credit union and then remain dormant for two years before ensuing in any sort of abuse. Once the fraudster feels confident that they can bypass authentication processes or avoid a new product vetting, oftentimes, they will take that opportunity to get easy access to all solutions credit unions have available and will abuse them all at once. There are no signs of fraud slowing, so credit unions will need to stay vigilant in their fraud protection and prevention plans. We’ve outlined a few tips for credit unions to help protect member data while reducing risk. The Fight Against Fraud: Four Key Tips Tip #1: Manage Each Fraud Type Appropriately Preventing and detecting fraud requires a multi-level solution. This can involve new methods for authenticating current and prospective members, as well as incorporating synthetic identity services and identity proofing throughout the member lifecycle. For example, credit unions should consider taking extra verification steps during the account opening process as a preventative measure to minimize SID infiltration and associated fraud losses. As credit unions continue down the path of digitization, it’s also important to add in digital signals and behavior-based verification, such as information about the device a consumer is logging in from to heighten defenses against bad actors. Tip #2: Be Resourceful In the wake of the COVID-19 pandemic, many have asked, “How should credit unions approach fraud prevention tactics when in-person contact is limited or unavailable?” In some cases, you might need to be willing to say no to requests or get creative and find other options. Sometimes, it takes leveraging current resources and using what’s readily available to allow for a binary decision tree. For example, if you’re suspicious of a dormant account that you think could be synthetic, call them, and ask yourself these questions: Did they answer? Was the phone still active? Send the account holder an email – did you get a reply? Is this a new member? Is this a new channel for the member? Could they have logged on to do this instead of calling the call center? Tip #3: Empower Members Through Education Members like to know that their credit unions are taking the necessary steps and applying the right measures to keep their data secure. While members might not want every detail, they do want to know that the security measures are there. Require the use of strong passwords, step-up authentication, and empower members with alerts, notifications, and card controls. Additionally, protect members by providing resources like trainings, webinars, and best practices articles, where they can learn about current cyber trends and how to protect their data. Tip #4: Trust Data Many credit unions rely on an employee’s decision to decide when to take action and what action to take. The challenge with this approach comes when the credit union needs to reduce friction for members or tighten controls to prevent fraud, because it’s extremely hard to know exactly what drove prior actions. A better alternative is to rely on scores and specific data. Tweaks to the scores or data points that drive actions allow credit unions to achieve the desired member experience and risk tolerance – just be sure to leverage internal experts help figure out those policies. By determining what conditions drive actions before the actions are taken (instead of doing it one case at a time) the decisions remain transparent and actionable. Looking for more insights around how to best position your credit union to mitigate and prevent fraud? Watch our webinar featuring experts from around the industry and key credit unions in this Fraud Insight Form hosted by CUES. Watch now Contact us