Tag: consumer data

Even before the COVID-19 pandemic, many Americans lacked equal access to financial products and services — from tapping into affordable banking services to credit cards to financing a home purchase. The global pandemic likely exacerbated those existing issues and inequalities. That reality makes financial inclusion — a concerted effort to make financial products and services affordable and accessible to all consumers — more crucial than ever. The playing field wasn't level before the pandemic The Federal Reserve reported that in 2019, Black and Hispanic/Latino families had median wealth that was just 13 to 19 percent of that of White families — $24,100 and $36,100, respectively, compared to $188,200 for White families. That inequity is also reflected in credit score disparities. While credit scores, income, and wealth aren't synonymous, the traditional credit scoring system leads marginalized communities to be disproportionately labeled unscoreable or credit invisible, and face challenges in accessing credit. New research from Experian shows that in over 200 cities, there can be more than a 100-point difference in credit scores between neighborhoods — often within just a few miles from each other. Marginalized communities bore the financial brunt Minority communities were also disproportionately impacted by COVID-19 in terms of infections, job losses, and financial hardship. In mid-2020, the Economic Policy Institute (EPI) reported Black and Hispanic/Latino workers were more likely than White workers to have lost their jobs or to be classified as essential workers — leading to economic or health insecurity. Government initiatives — including the Coronavirus Aid, Relief, and Economic Security (CARES) Act, the Paycheck Protection Program (PPP) and the American Rescue Plan — created expanded unemployment benefits, paused loan payments, eviction moratoriums, and direct cash payments. These helped consumers' immediate financial well-being. The National Bureau of Economic Research found that, on average, U.S. households spent approximately 40 percent of their first two stimulus checks, with about 30 percent used for savings and another 30 percent used to pay down debt. In some communities highly affected by COVID-19, consumers were able to pay down nearly 40 percent of their credit card balances and close more than 9 percent of their bank card accounts, according to recent data. Stimulus payments have been credited with reducing childhood poverty and helping families save for financial emergencies. That being said, people on the upper end of the income scale were able to improve their financial situation even more. Their wealth grew at a much faster pace than people at the bottom end of the income distribution scale, according to data from the Federal Reserve. How the pandemic deepened financial exclusion Although hiring has picked up in low-wage industries, research indicates that low-wage jobs have been the slowest to return. According to a survey by the Pew Research Center, among respondents who said their financial situation worsened during the pandemic, 44 percent believe it will take three years or more to get back to where they were a year ago. About 10 percent don't think their finances will ever recover. Recent Experian data shows that consumers in certain communities that were already struggling to pay their debts fell into an even bigger hole. These consumers missed payments on 56 percent more accounts in the period between spring 2019 to spring 2020 compared to the year prior. Credit scores in these neighborhoods fell by an average of over 20 points during the first 18 months of COVID-19. That being said, U.S. consumers overall increased their median credit scores by an average of 21 points from the end of 2019 to the end of 2021. When consumers with deteriorating credit encounter financial stresses, often their only recourse is to pile on additional debt. Even worse, those who can't access traditional credit often turn to alternative credit arrangements, such as short-term loans, which may charge significantly higher interest rates. READ MORE: More Than a Score: The Case for Financial Inclusion What can the financial sector do? Without access to affordable financial services and products, subprime or credit invisible consumers may not get approved for a mortgage or car loan — things that might come much easier for consumers with better scores. This is just one reason why financial inclusion is so important — and why financial services companies have a big role to play in driving it. One place to start is by taking a broader view of what makes a creditworthy consumer. In addition to traditional credit scoring models, new tools can leverage artificial intelligence and machine learning, along with alternative data, to analyze the creditworthiness of consumers. By qualifying for credit, more consumers can access affordable mortgages, car loans, business loans and insurance - freeing up money for other expenses and allowing them to grow their wealth.. READ MORE: What Is Alternative and Non-Traditional Data? Last word Marginalized communities were already struggling economically before the pandemic, and the impact of COVID-19 has made the wealth disparities worse. With the pandemic waning, now is the time for financial institutions to take action on financial inclusion. Not only does it help improve your customers' lives and make them better prepared for the next crisis, but it also fuels your business's growth and bottom line.

“As an industry, fintech is known for creating compelling and personalized online journeys. But that experience can suffer if the fraud-prevention routines are perceived as burdensome by consumers,” said Kathleen Peters, Chief Innovation Officer for Experian’s Decision Analytics business, in a recent Q&A article with Finovate.  With the proliferation of the digital world, managing digital identity and “getting it right” is crucial. However, as much as it is an opportunity, leveraging consumer identity data can also create a stumbling block for some organizations. Peters cited Experian’s annual Global Identity and Fraud Report, specifically, the consumer concern around online security and the need for industry players to find the right balance between security and a frictionless experience.  “In short, we need the right fraud-prevention treatment for the right transaction; it is not a one-size-fits-all exercise,” Peters said.  The interview also covered the importance of knowing a customer’s identity for compliance reasons and business use cases, dispelling the myth that banks’ efforts around personalization are considered “creepy” by consumers, and the best ways for banks and fintechs to build trust among their consumers.   According to Experian’s Global Identity and Fraud Report, consumers are willing to give entities they trust more data, particularly if they feel they are receiving value. And it’s undeniable that data is at the heart of personalization and building better relationships.  “It comes down to identifying and understanding consumers and their needs. The best way to do that is with a lot of data,” Peters said.  To read the full article, visit Finovate’s website.  Finovate: Experian CIO on Digital Identity, Personalization and Building Trust with Consumer Data  Learn more about Experian Identity

“Businesses are managing vast and growing amounts of consumer data – all while ensuring consumers’ privacy and complying with complex government regulations.” This is one of the many reasons there’s an increasing need for innovative digital identity solutions, as explored in a in Axios in a new Experian advertorial. Experian Identity, an integrated suite of identity solutions, products, and services, solves for challenges presented by the continuing migration of consumers to the internet and the resulting growth of consumer data. Leveraging that data stemming from diverse sources and combining it with advanced technologies, is critical to better determining and understanding a company’s best marketing prospects, as well as making confident decisions that enhance and safeguard the consumer experience. How? By leveraging multidimensional data and adhering to all consumer protection laws and industry self-regulatory standards, businesses can best recognize and connect with their consumers in more personalized, meaningful and secure ways. The Axios article discusses the benefits of Experian Identity, including strengthening fraud detection, solving for identity resolution, and helping to uncover business opportunities through segmenting, targeting and engaging consumers. “While today’s consumers are intensely interested in protecting their personal data and identities, they also want to be recognized and understood by the companies they do business with,” said Kathleen Peters, Chief Innovation Officer of Experian Decision Analytics, in the article. Read more about how Experian’s identity solutions helps businesses stay relevant with audiences, create a positive consumer experience, and meet people’s desire to be recognized in Axios’ new article. AXIOS: Making identities personal Learn more about Experian Identity

Many financial institutions have made inclusion a strategic priority to expand their reach and help more U.S. consumers access affordable financial services. To drive deeper understanding, Experian commissioned Forrester to do new research to identify key focal points for firms and how they are moving the needle. The study found that more than two-thirds of institutions had a strategy created and implemented while one-quarter reported they are already up and running with their inclusion plans.1 Tapping into the underserved The research examines the importance of engaging new audiences such as those that are new to credit, lower-income, thin file, unbanked and underbanked as well as small businesses. To tap into these areas, the study outlines the need to develop new products and services, adopt willingness to change policies and processes, and use more data to drive better decisions and reach.2 Expanded data for improved risk decisioning The research underlines the use of alternative data and emerging technologies to expand reach to new audiences and assist many who have been underserved. In fact, sixty-two percent of financial institutions surveyed reported they currently use or are planning to use expanded data to improve risk profiling and credit decisions, with focus on: Banking data Cash flow data Employment verification data Asset, investments, and wealth management data Alternative financial services data Telcom and utility data3 Join us to learn more at our free webinar “Reaching New Heights Together with Financial Inclusion” where detailed research and related tools will be shared featuring Forrester’s principal analyst on Tuesday, May 24 from 10 – 11 a.m. PT. Register here for more information. Find more financial inclusion resources at www.experian.com/inclusionforward. Register for webinar Visit us 1 Based on Forrester research 2 Ibid. 3 Ibid.

It's one thing to make a corporate commitment to financial inclusion, but quite another to set specific goals and measure outcomes. What goals should lenders set to make financial inclusion a reality? How can success be quantified? What actionable steps must be taken to put policy into practice? The road to financial inclusion may feel long, but this step-by-step checklist can help you measure diversity and achieve goals to become more inclusive as an organization. Step 1: Set quantifiable goals with realistic outcomes Start by defining what you plan to achieve with a financial inclusion strategy. When setting goals, Alpa Lally, Experian's Vice President of Data Business at Consumer Information Services, recommends organizations "assess the strategic opportunity at the enterprise level." "It is important that KPIs are aligned across each business unit and functional groups in order to understand the investment opportunity and what the business must achieve together," said Lally. "The key focus here is 'together', the path to financial inclusion is a journey for all groups and everyone must participate, be committed and be aligned to be successful." Figuring out your short- and long-term goals should be the first step to kickstarting a financial inclusion strategy. But equally important is driving towards outcomes. For instance, if the goal is to increase the number of loans made to previously overlooked or excluded consumers, you may want to start by examining your declination population to better understand who is being left out. Or if financial inclusion is tied to a wider strategy or vision on corporate social responsibility, your goals may include an education component, community outreach, and a re-examination of your hiring practices. No matter what KPIs you're using, here are relevant questions to ask in four key areas – which will help draw out your organizational goals and priorities: Organizational awareness: What action is your organization taking to enhance Diversity, Equity and Inclusion and embrace Corporate Social Responsibility (CSR) around financial inclusion? If you already have financial inclusion programs in place, what are the primary goals? Barriers: What barriers prevent the organization from pursuing equity, diversity and inclusion programs? Education: How do you create awareness and education around financial inclusion? Which community or third-party organizations can help you reach consumers who aren't aware of ways to access financial services? Markers of success: What benchmarks will your organization use to measure and analyze success? Step 2: Do a financial inclusion audit Before developing and implementing a robust financial inclusion program, Lally recommends conducting a financial inclusion audit – which is a "detailed assessment of where you are today, relative to the goals and results you've outlined". In a nutshell, it allows you to assess your current systems and results within your financial institution. According to Lally, a financial inclusion audit should address the following key areas: Roadmap: What are your strategic priorities and how will financial inclusion fit within them? Tracking: Track the actual volume and distribution of different underserved populations (e.g., young adults, low-income communities, immigrants, etc.) within your book of business. Look at the applications and the approval rates by segment. In addition, assess the interest rates these consumers are offered by credit score bands for each group: “Benchmarking is critical. Understanding how they compare to national averages? How do they compare to the rest of your portfolio?" said Lally. Hiring practices: Is diversity, equity and inclusion (DEI) central to your talent management strategy? Is there a link between a lack of DEI in hiring practices and the level of financial inclusion within an organization? Affordability and access: Determine if the products and services you offer are easily accessible, can be understood by a reasonable consumer and are affordable to a broad base. Internal practices: What policies exist that influence the culture and behavior of employees around financial inclusion? Partnerships: Identify outside organizations that can help you develop financial literacy programs to promote financial inclusion. Advertising: Does your advertising promote equal and diverse representation across a wide range of consumer groups? Tools to measure: Are you financially inclusive as a company? How can you improve? The Bayesian Improved Surname Geocoding (BISG) method used by the Consumer Financial Protection Bureau (CFPB) predicts the probability of an individual's race and ethnicity based on demographic information associated with the consumer's surname. Lenders can use this type of information to conduct internal audits or set benchmarks to help ensure accountability in their diversity goals. Step 3: Tap into technology New technology is emerging that gives lenders powerful tools to evaluate a wider pool of prospective borrowers while also mitigating risk. For instance, scoring models that incorporate expanded FCRA-regulated data provide greater insight into 'credit invisible' or 'unscorable' consumers because they look at a wider set of data assets (or 'alternative data'), which allows lenders to assess a larger pool of applicants. It also improves the accuracy of those scores and better assesses the creditworthiness of consumers. Consider these resources, among others: Lift Premium™: Experian estimates that lenders using Lift Premium™ can score 96 percent of U.S. adults, a vast improvement over the 81 percent that are scorable today with conventional scores relying on mainstream data. Such enhanced scores would enable six million consumers who are considered subprime today to qualify for “mainstream" (prime or near-prime) credit. Experian® RentBureau®: RentBureau collects rent payment data from landlords and management companies, which allows consumers to leverage positive rent payment history similarly to how consumers leverage consistent mortgage payments. Clarity Credit Data: Clarity Credit Data allows lenders to see how consumers use alternative financial products and examine payment behaviors that might exist outside of the traditional credit report. Clarity's expanded FCRA -regulated data provides a deeper view of the consumer, allowing lenders to identify those who may not have previously been classified as "at risk" and approve consumers that may have previously been denied using a traditional credit score. Income Verification: Consumers can grant access to their bank accounts so lenders can assess their ability to pay based on verified income and cash flow. In addition, artificial intelligence (AI) and greater automation can reduce operational costs for lenders, while increasing the affordability of financial products and services for customers. AI and machine learning (ML) can also improve risk profiling and credit decisioning by filling in some of the gaps where credit history is not available. These are just a few examples of a wide range of cutting-edge solutions and technologies that enable lenders to promote greater financial inclusion through their decisioning processes. As new solutions are introduced to the market, it is imperative that lenders look into these technologies to help grow their business. Step 4: Monitor and measure Measuring your progress on financial inclusion isn't a one-and-done proposition. After you've set your goals and created a roadmap, it's important to continue monitoring and measuring your progress. That means your performance to gauge the impact of financial inclusion at both the community and business levels. Lally recommends the following examples: Compare your lending pool to the latest population data from the United States census. Is your portfolio representative of the U.S. population or are there segments that should have greater access? How does it compare against other lenders competing in the same space? Keep in mind that it has been widely reported that certain populations were undercounted, so you may want to factor this reality into your assessments. Work to understand how traditionally underserved consumers are performing in terms of their payment behaviors, purchase patterns and delinquencies. Measure the impact of financial inclusion on your company's overall revenue growth, ROI and brand reputation. Conduct an analysis to better understand your company's brand reputation, how it's perceived across different groups and what your customers are saying. Last word Financial inclusion represents a big step towards closing the wealth gap and helping marginalized communities build generational wealth. Given the prevalence of socioeconomic and racial inequality in our country today, it's a complex issue that disproportionately impacts marginalized groups, such as consumers of color, low-income communities and immigrants. Adopting more financially inclusive practices can help improve access to credit for these groups. For financial institutions and lenders, the first step is to identify realistic, quantifiable goals. A successful financial inclusion initiative also hinges on completing a financial inclusion audit, tapping into the right technology and continually monitoring and measuring progress. "It is paramount that financial institutions hold themselves accountable and demonstrate their commitment to make these practices a part of their DNA." - Alpa Lally. Learn more

For decades, the credit scoring system has relied on traditional data that only examines existing credit captured on a credit report – such as credit utilization ratio or payment history – to calculate credit scores. But there's a problem with that approach: it leaves out a lot of consumer activity. Indeed, research shows that an estimated 28 million U.S. adults are “credit invisible," while another 21 million are “unscorable."1 But times are changing. While conventional credit scoring systems cannot generate a score for 19 percent of American adults,1 many lenders are proactively turning to expanded FCRA-regulated data – or "alternative data" – for solutions. Types of expanded FCRA-regulated data By tapping into technology, lenders can access expanded FCRA-regulated data, which offers a powerful and complete view of consumers' financial situations. Expanded public record data This can include professional and occupational licenses, property deeds and address history – a step beyond the limited public records information found in standard credit reports. Such expanded public record data is available through consumer reporting agencies and does not require the customer's permission to use it since it's a public record.1 “Experian has partnerships with these agencies and can access public records that provide insight into factors like income and housing stability, which have a direct correlation with how they'll perform," said Greg Wright, Chief Product Officer for Experian Consumer Information Services. “For example, lenders can see if a consumer's professional license is in good standing, which is a strong correlation to income stability and the ability to pay back a loan." Rental payment data Experian RentBureau draws updated rental payment history data every 24 hours from property managers, electronic rent payment services and collection companies. It can also track the frequency of address changes. “Such information can be a good indicator of risk," said Wright. “It allows lenders to make informed judgments about the financial health and positive payment history of consumers." Consumer-permissioned data With permission from consumers, lenders can look at different types of financial transactions to assess creditworthiness. Experian Boost™, for example, enables consumers to factor positive payment history, such as utilities, cell phone or even streaming services, into an Experian credit file. “Using the Experian Boost is free, and for most users, it instantly improves their credit scores," said Wright. “Overall, those 'boosted' credit scores allow for fairer decisioning and better terms from lenders – which gives customers a second chance or opportunity to receive better terms." Financial Management Insights Financial Management Insights considers data that is not captured by the traditional credit report such as cash flow and account transactions. For instance, this could include demand deposit account (DDA) data, like recurring payroll deposits, or prepaid account transactions. “Examining bank account transaction data, prepaid accounts, and cash flow data can be a good indicator of ability to pay as it helps verify income, which gives lenders insights into consumers' cash flow and ability to pay," Wright added. Clarity Credit Data With Experian's Clarity Credit Data, lenders can see how consumers use expanded FCRA-regulated data along with their related payment behavior. It provides visibility into critical non-traditional loan information, including more insights into thin-file and no-file segments allowing for a more comprehensive view of a consumer's credit history. Lift Premium™ By using multiple sources of expanded FCRA-regulated data to feed composite scores, along with artificial intelligence and machine learning, Lift Premium™ can vastly increase the number of consumers who can be scored. For example, research shows that Lift Premium™ can score 96 percent of American adults ­– a significant increase from the 81 percent that are scorable with conventional scores relying on only traditional credit data. Additionally, such enhanced composite scores could enable 6 million of today's subprime population to qualify for “mainstream" (prime or near-prime) credit.1 How is expanded FCRA-regulated data changing the credit scoring system? The current credit scoring system is rapidly evolving, and modern technology is making it easier for lenders to access expanded FCRA-regulated data. Indeed, this data disruption is changing lender business in a positive way. “When lenders use expanded credit data assets, they see that many unscorable and credit invisible consumers are in fact creditworthy," said Wright. “Layering in expanded FCRA-regulated data gives a clearer picture of consumers' financial situation." By expanding data assets, tapping into artificial intelligence and machine learning, lenders can now score many more consumers quickly and accurately. Moreover, forward-thinking lenders see these expanded data assets as offering a competitive edge: it's estimated that modern credit scoring methods could allow lenders to grow their pool of new customers by almost 20 percent.1 Case study: Consumer-permissioned data To date, over 9 million people have used Experian Boost. The technology uses positive payment history as a way to recognize customers who exhibit strong credit behaviors outside of traditional credit products. “Boosted" consumers were able to add on average 14 points to their FICO scores in 2022 so far, making many eligible for additional financial products with better terms or better product offerings. Active Boost consumers, post new origination performed on par or better than the average U.S. originator, consistently over time. “In other words, having this additional lens into a consumer's financial health means lenders can expand their customer base without taking on additional credit risk," explains Wright. The bottom line The world of credit data is undergoing a revolution, and forward-thinking lenders can build a sound business strategy by extending credit to consumers previously excluded from it. This not only creates a more equitable system, but also expands the customer base for proactive lenders who see its potential in growing business. Learn more 1Oliver Wyman white paper, “Financial Inclusion and Access to Credit,” January 12, 2022.

There are many facets to promoting a more equitable society. One major driver is financial inclusion or reducing the racial wealth gap for underserved communities. No other tool has impacted generational wealth more than sustainable homeownership. However, the underserved and underbanked home buyers experience more barriers to entry than any other consumer segment. It is important to recognize the well-documented racial and ethnic homeownership gap; doing so will not only benefit the impacted communities, but also elevate the level of support of those lenders who serve them. What are we doing as an industry to reduce this gap? Many organizations are doing their part in removing barriers to homeownership and systemic inequities. In 2021, the FHFA published their Duty to Serve 2021 plans for Fannie Mae and Freddie Mac to focus on historically underserved markets. A part of this plan includes increasing liquidity of mortgage financing for lower- and moderate-income families. Fannie Mae and Freddie Mac each announced individual refinance offerings for lower-income homeowners – Fannie Mae’s RefiNow™ and Freddie Mac’s Refi PossibleSM. Eligible borrowers meet requirements including income at or below 100% area median income (AMI), a minimum credit score of 620, consideration for loans in forbearance and additional newly expanded flexibilities. As part of the plan, lenders will lower a borrower’s monthly payment by at least a half a percentage point reduction in their interest rate, which can translate into hundreds of dollars of savings per month and sustain their homeownership. Experian has the tools to help mortgage lenders take advantage of this offering  As a leader in data, analytics and technology, we have the tools needed to help lenders recognize opportunities to be inclusive and identify borrowers who may be eligible for Fannie Mae’s and Freddie Mac’s lower-income refinance offerings. To illustrate, we performed a data study and identified over 6M eligible mortgages nationwide (impacting over 8M borrowers) for this plan, and some lenders had as much as 30% of mortgages in their portfolio eligible with lower- and moderate-incomes.1 These insights can have a positive impact on the borrowers you serve by promoting more inclusion and benefit lenders through improved customer retention, strengthened customer loyalty and an opportunity to continue to build generational wealth through housing. We are committed to enabling the industry's DEI evolution As the Consumer’s bureau, empowering consumers is at the heart of everything we do. We’re committed to developing products and services that increase credit access, greater inclusion in homeownership and narrowing the racial wealth gap. Below are a few of our recent initiatives, and be sure to check out our financial inclusion resources here: United for Financial Health: Promotes inclusion in underserved communities through partnerships and have committed to investing our time and resources to create a more inclusive tomorrow for our communities. Project REACh (Roundtable for Economic Access and Change): brings together leaders from banking, business, technology, and national civil rights organizations to reduce barriers that prevent equal and fair participation in the nation’s economy, and we are engaged with the Alternative Credit Scoring Utility group as part of this initiative. Operation Hope: Empowers youth and underserved communities to improve their financial health through education, so they can thrive (not just survive) in the credit ecosystem so they can sustain good credit and responsibly use credit. DEI-Centric Solutions: From Experian Boost to our recent launch of Experian Go, we offer a variety of consumer solutions designed to empower consumers to gain access to credit and build a brighter financial future. What does this mean for you? Our passion, knowledge and partnerships in DEI have enabled us to share best practices and can help lenders prescriptively look at their portfolios to create inclusive growth strategies, identify gaps, and track progress towards diversity objectives. The mortgage industry has a unique opportunity to create paths to homeownership for underserved communities. Together, we can drive impact for generations of Americans to come. Let’s drive inclusivity and revive the American dream of homeownership. 1Experian Ascend™ as of November 2021

As more consumers apply for credit and increase their spending1, lenders and financial institutions have an opportunity to expand their portfolios and improve profitability. The challenge is ensuring they’re extending credit responsibly and inclusively. Millions of Americans, many of whom are creditworthy, lack access to mainstream credit options. This may be because they have limited or no credit history, negative information within their credit file, or are a part of a historically disadvantaged group. To say “yes” to consumers they otherwise couldn’t or wouldn’t lend to, lenders must gain a deeper understanding of an individual’s stability, ability and willingness to pay. That’s where expanded FCRA-regulated and trended data come in. While traditional credit data has long been the primary means of gauging creditworthiness, it doesn’t tell the full story of a consumer’s financial situation. Let’s explore how differentiated data can help lenders make more informed credit decisions. Using differentiated data for deeper lending Expanded FCRA-regulated data provides supplemental credit data to help lenders gain a more holistic view of their current and prospective customers. Some examples of expanded FCRA-regulated data include alternative financial services data from nontraditional lenders, consumer-permissioned account data, rental payments and full-file public records. Because this data drives greater visibility and transparency around inquiry and payment behaviors, lenders can more accurately determine a consumer’s ability to pay and distinguish between reliable and high-risk applicants. In turn, lenders can approve more creditworthy consumers, grow their portfolios and increase financial opportunities for underserved communities, all while preventing and mitigating risk. 89% of lenders agree that expanded FCRA-regulated data allows them to extend credit to more consumers. Trended data empowers lenders with predictive insights into consumers by providing key balance and payment data for the previous 24 months. This is important as lenders can determine if a consumer’s credit behavior has improved or deteriorated over time. In turn, lenders can: Identify creditworthy customers: Establish if a consumer has a demonstrated ability to pay, is consistently paying more than the minimum payment, or shows no signs of payment stress. Increase response rates: Match the right products with the right prospects. Determine upsell and cross-sell opportunities: Present relevant offers based on anticipated needs and behaviors. Limit loss exposure: Understand the direction and velocity of payment performance to effectively manage risk exposure. Trended data helps lenders better predict future behavior, manage portfolio risk and design the best marketing offers. Turning insights into action Together, trended and expanded FCRA-regulated data benefit lenders and consumers alike. With a more holistic view of their customers, lenders gain powerful insights to lend deeper, ultimately helping them to expand their portfolios and drive greater access to credit for underserved communities. Learn more 1 The Recovery of Credit Applications to Pre-Pandemic Levels, Consumer Financial Protection Bureau, 2021.

Credit scores hold the key to many aspects of our financial lives. Whether qualifying for a mortgage, insurance, or a smartphone plan, financial institutions rely on credit reports — a document detailing how responsibly a person has used credit accounts in the past — to decide if they should approve your financing application. However, here's the problem: because today's scoring system leans heavily on a person’s credit history to generate a credit score, it leaves out large segments of the United States population from accessing credit. According to a recent Oliver Wyman report, an estimated 28 million U.S. consumers are considered ”credit invisible," while another 21 million are deemed "unscorable," meaning they don’t have the types of accounts that have been traditionally used to generate a credit score. Using the traditional credit-scoring formula, certain populations, such as communities of color and low-income consumers, are left behind. Now, times are changing. A modern approach to credit scoring can significantly improve the financial inclusion of millions of U.S. consumers and correct past and present inequities. ­Tapping into advanced technologies that leverage expanded data assets can produce powerful results. A cycle of exclusion: The limitations of conventional credit scoring A big part of the problem lies with how credit scores are calculated. Between payment history and length of accounts held, a consumer’s credit history accounts for 50 percent of a FICO credit score — the credit score used by 90 percent of top lenders for credit decisions. In other words, the credit system rewards people who already have (or can get) credit and penalizes those that cannot or don't yet have credit. For those who do not have credit, their financial behaviors ­— such as timely rental and utility payments, bank account data and payday loan installment payments — may not get reported to credit bureaus. As a result, consumers without a credit history may appear as credit invisible or unscorable because they don't have enough tradelines to generate a score. But they also can’t get credit to improve their score. It creates a cycle of exclusion that’s hard to break. Who gets left behind? According to the latest research, the limitations on the traditional credit scoring system disproportionately impact certain communities: Low-income: 30 percent of those in low-income neighborhoods are credit invisible, and 16 percent are considered unscorable, compared with just 4 percent and 5 percent, respectively, in upper-income neighborhoods.1 Communities of color: 27 percent of Black and 26 percent of Hispanic consumers are either credit invisible or unscorable, while only 16 percent of white consumers are.1 Immigrants: People who have recently arrived in the United States can lack a credit history here, even if they may have had one in their home country. Meanwhile, undocumented immigrants, who don’t have a Social Security number, can find it difficult to get a credit card or use other financial services. Young adults: 40 percent of credit invisibles in the U.S. are under the age of 25,1 with 65 percent of 18- to 19-year-olds lacking a credit score. Being labeled unscorable or credit invisible can hinder participation in the financial system and prevent populations from accessing the socioeconomic opportunities that go with it. Why are certain individuals and communities excluded? There are often complex — and valid — reasons for why many consumers are deemed unscorable or credit invisible. For example, newcomers may appear to be credit invisible because haven’t yet generated a credit history in the U.S., although they may have a solid score in their home country. Young consumers are also a common category of unscorable or credit invisible people, largely because they haven't acquired credit yet. Only 35 percent of 18- to 19-year-olds have a credit score, while 91 percent of 25- to 29-year-olds do. However, those who can quickly get a credit history typically come from wealthier households, where they can rely on a creditworthy guarantor to help them establish credit. Finally, some consumers have had negative experiences with the financial system. For instance, a prior default can make it difficult to access credit in the future, which can result in an extended period without credit, eventually leading to being labelled unscorable. Others may distrust the mainstream financial system and choose not to participate. Underpinning all this are racial disparities, with Black and Hispanic consumers being classified as unscorable and credit invisible at significantly higher rates than white and Asian consumers. According to the Consumer Financial Protection Bureau (CFPB), Black and Hispanic people, as well as low-income consumers, are more likely to have “scant or non-existent” credit histories. Financial inclusion is an equity issue Traditional credit scoring places big barriers on certain communities. Without access to credit, marginalized communities will continue to face challenges. They will lack the ability to purchase property, secure business and/or personal loans and deal with financial emergencies, further widening the wealth gap. Since credit scores are used to decide loan eligibility and what interest rate to offer, those with low or no credit rating tend to pay higher interest rates or are denied desired loans, which compounds financial difficulty. The impact is profound: a significant percentage of the population struggles to access basic financial services as well as life opportunities, such as financing an education or buying a home. Without the ability to generate a credit score, unscorable or credit invisible consumers often turn to less-regulated financial products (such as payday loans or buy now pay later agreements) and pay more for these, often locking them in a vicious cycle. Consumers who are credit invisible or unscorable often end up paying more for everyday transactions. They may be required to put up hefty deposits for housings and utilities. Auto and homeowners insurance, which use credit score as a factor in setting rates, may be more expensive too. Consider how much this could impede someone’s ability to save and build generational wealth. Financial inclusion seeks to bring more consumers into the financial system and enable access to safe, affordable financial services and products. With the right technology on your side, there are solutions that make it easier to do so. Tap into technology Banks, credit unions and other lending institutions are well positioned to move the needle on financial inclusion by embracing expanded definitions of creditworthiness. By seeking out expanded FCRA-regulated data with wider sources of financial information, financial institutions can find a vast untapped pool of creditworthy consumers to bring into the fold. Technology makes achieving this goal easier than ever. New credit scoring tools, like Lift Premium™, can give lenders a more complete view of the consumer to use for credit decisioning. It combines traditional credit data with expanded FCRA-regulated data sources, helping lenders uncover more creditworthy consumers. Lift Premium can score 96 percent of U.S. consumers, compared to just 81 percent that conventional scoring systems do now. By applying machine learning to expanded data sets, Lift Premium can build a fuller and more accurate view of consumer behaviors. Moreover, the 6 million consumers whose scores are now considered subprime could be upgraded to prime or near-prime by analyzing the expanded data that Lift Premium uses. The opportunity presented by financial inclusion is significant. Imagine being able to expand your portfolio of creditworthy borrowers by almost 20 percent. The last word With a renewed focus on social justice, it’s no surprise that regulators and activists alike are turning their attention to financial inclusion. A credit-scoring system that allows lenders to better evaluate more consumers can give more people access to transparent, cheaper and safer financial products and the socioeconomic benefits that go along with them. New models and data assets offer additional data points into the credit scoring system and make it possible for lenders to expand credit to a greater number of consumers, in the process creating a fairer system than exists today. Early adopter lenders who embrace financial inclusion now can gain a first-mover advantage and build a loyal customer base in a competitive market. Learn more Download white paper 1Oliver Wyman white paper, “Financial Inclusion and Access to Credit,” January 12, 2022. 

Reporting positive rental payment histories to credit bureaus has been in the news more than once in recent months. In early November, Freddie Mac announced it will provide closing cost credits on multifamily loans for owners of apartment properties who agree to report on-time rental payments. In July, California began requiring multifamily properties that receive federal, state or local subsidies to offer each resident in a subsidized apartment home the option of having their rental payments reported to a major credit bureau. And while reporting positive rental payments to credit bureaus may not yet be part of the multifamily mainstream, forward-thinking operators have already been doing it for years. Below is a quick primer on this practice and its benefits. Why do renters need this service? A strong, positive credit history is critical to securing car loans, credit cards and mortgages – and doing so at favorable interest rates. Unfortunately, unlike homeowners, apartment residents traditionally have not seen a positive impact on their credit reports for making their rent payments on time and in full, even though these payments can be very large and usually make up their largest monthly expense. In fact, renters are seven times more likely to be credit invisible – meaning they lack enough credit history to generate a credit score – than homeowners, according to the Credit Builders Alliance (CBA). This especially impacts lower-income households and communities of color. Renters make up approximately 60% of the U.S. households that make less than $25,000 a year, while Black and Hispanic households are twice as likely as White households to rent, according to the CBA. Experian is among the organizations working with the Consumer Data Industry Association (CDIA) on the association's Rental Empowerment Project. Through the REP, CDIA and its partner organizations seek to increase the reporting of rental payment history information by landlords and property managers through the development and adoption of a uniform, universal data reporting format for landlords and property managers to use. How does reporting positive rental payments to credit bureaus have an impact on a resident's credit history? The impact on any individual renter will obviously vary because of a wide array of factors. But to get some sense of the potential impact reporting on-time rental payments can have, consider the results of the CBA's Power of Rent Reporting pilot. In that test, 100% of renters who started off with no credit score became scorable at the near prime or prime level. In addition, residents with subprime scores saw their score increase by an average of 32 points. How does reporting positive rent payments benefit rental-housing owners and operators? Reporting positive rental payments provides residents with a powerful incentive to pay their rent on time and in full. And because there’s not a huge percentage of apartment communities currently doing this, helping residents build their credit history in this manner can offer a real competitive advantage. Learn more

Credit plays a vital role in the lives of consumers and helps them meet important milestones – like getting a car and buying their own home. Unfortunately, not every creditworthy individual has equal access to financial services. In fact, 28 million adult Americans are credit invisible and another 21 million are considered unscorable.1 By leveraging expanded data sources, you can gain a more complete view of creditworthiness, make better decisions and empower consumers to more easily access financial opportunities. The state of credit access Credit is part of your financial power and helps you get the things you need. So, why are certain consumers excluded from the credit economy? There’s a host of reasons. They might have limited or no credit history, have dated or negative information within their credit file or be part of a historically disadvantaged group. For example, almost 30% of consumers in low-income neighborhoods are credit invisible and African and Hispanic Americans are less likely than White Americans to have access to mainstream financial services.2 By gaining further insight into consumer risk, you can facilitate first and second chances for borrowers who are increasingly being shut out of traditional credit offerings. Greater data, greater insights, greater growth Expanding access to credit benefits consumers and lenders alike. With a bigger pool of qualified applicants, you can grow your portfolio and help your community. The trick is doing so while continuing to mitigate risk – enter expanded data. Expanded data includes non-credit payments, demand deposit account (DDA) transactions, professional certifications, and foreign credit history, among other things. Using these data sources can drive greater visibility and transparency around inquiry and payment behaviors, enrich decisions across the entire customer lifecycle and allow lenders to better meet the financial needs of their current and future customers. Read our latest white paper for more insight into the vital role credit plays within our society and how you can increase financial access and opportunities in the communities you serve. Download now 1Data based on Oliver Wyman analysis using a random sample of consumers with Experian credit bureau records as of September 2020. Consumers are considered ‘credit invisible’ when they have no mainstream credit file at the credit bureaus and ‘unscorable’ when they have partial information in their mainstream credit file, but not enough to generate a conventional credit score. 2Credit Invisibles, The CFPB Office of Research, May 2015.

Over the past year and a half, the development of digital identity has shifted the ways businesses interact with consumers. Companies across every industry have incorporated digital services, biometrics, and other verification tools to enhance the consumer experience without increasing risk.   Changing consumer expectations   A digital identity strategy is no longer a nice-to-have, it’s table stakes. Consumers expect to be recognized across platforms and have a seamless experience every time.   89% of consumers use mobile banking 80% of companies now have a customer recognition strategy in place 55% of banking customers say they plan to visit the bank branch less often moving forward   Businesses are responding to these changing expectations while working to grow during the economic recovery – trying to balance consumer experience with risk appetite and bottom-line goals. The present state of digital identity   Digital identity strategies require both standardization and interoperability. The first provides the ability to consistently capture data and characteristics that can be used to recognize a specific individual. The second allows businesses to resolve an identity to a specific person – recognizing a phone number, user ID and password, or a device – and use that information to determine if the user of the identity is in fact the identity owner.   There are some roadblocks on the road to a seamless digital identity strategy. Issues include a lack of consumer trust and an ambiguous regulatory landscape – creating friction on both ends of the equation.   Recipe for success   To succeed, businesses need a framework that can reliably use different combinations of physical and digital identity data to determine that the person behind the identity is a known, verified, and unique individual. A one-size-fits-all solution doesn’t exist. However, a layered approach allows businesses to modernize identity, providing the services consumers want and expect while remaining agile in an ever-changing environment.   In our newest white paper, developed in partnership with One World Identity, we explore the obstacles hindering digital identity management, and the best way to build a layered solution that is flexible, trustworthy, and inclusive.   To learn more, download our “Capturing the Digital Evolution Through a Layered Approach” white paper. Download white paper

The ongoing COVID-19 pandemic has facilitated an increase in information collection among consumers and organizations, creating a prosperous climate for cybercriminals. As businesses and customers adjust to the “new normal,” hackers are honing in on their targets and finding new, more sophisticated ways to access their sensitive data. As part of our recently launched Q&A perspective series, Michael Bruemmer, Experian’s Vice President of Data Breach Resolution and Consumer Protection, provided insight on emerging fraud schemes related to the COVID-19 vaccines and how increased use of digital home technologies could lead to an upsurge in identity theft and ransomware attacks. Check out what he had to say: Q: How did Experian determine the top data breach trends for 2021? MB: As part of our initiative to help organizations prevent data breaches and protect their information, we release an annual Data Breach Forecast. Prior to the launch of the report, we analyze market and consumer trends. We then come up with a list of potential predictions based off the current climate and opportunities for data breaches that may arise in the coming year. Closer to publication, we pick the top five ‘trends’ and craft our supporting rationale. Q: When it comes to data, what is the most immediate threat to organizations today? MB: Most data breaches that we service have a root cause in employee errors – and working remotely intensifies this issue. Often, it’s through negligence; clicking on a phishing link, reusing a common password for multiple accounts, not using two-factor authentication, etc. Organizations must continue to educate their employees to be more aware of the dangers of an internal breach and the steps they can take to prevent it. Q: How should an organization begin to put together a comprehensive threat and response review? MB: Organizations that excel in cybersecurity often are backed by executives that make comprehensive threats and response reviews a top corporate priority. When the rest of the organization sees higher-ups emphasizing the importance of fraud prevention, it’s easier to invest time and money in threat assessments and data breach preparedness. Q: What fraud schemes should consumers be looking out for? MB: The two top fraud schemes that consumers should be wary of are scams related to the COVID-19 vaccine rollout and home devices being held for ransom. Fraudsters have been leveraging social media to spread harmful false rumors and misinformation about the vaccines, their effectiveness and the distribution process. These mistruths can bring harm to supply chains and delay government response efforts. And while ransomware attacks aren’t new, they are getting smarter and easier with people working, going to school and hosting gatherings entirely on their connected devices. With control over home devices, doors, windows, and security systems, cybercriminals have the potential to hold an entire house hostage in exchange for money or information. For more insight on how to safeguard your organization and consumers from emerging fraud threats, watch our Experian Symposium Series event on-demand and download our 2021 Data Breach Industry Forecast. Watch now Access forecast About Our Expert: Michael Bruemmer, Experian VP of Data Breach Resolution and Consumer Protection, North America Michael manages Experian’s dedicated Data Breach Resolution and Consumer Protection group, which aims to help businesses better prepare for a data breach and mitigate associated consumer risks following breach incidents. With over 25 years in the industry, he has guided organizations of all sizes and sectors through pre-breach response planning and delivery.

The ongoing COVID-19 crisis and the associated rise in online transactions have made it more important than ever to keep customer information accurate and company databases up to date. By ensuring your organization’s data quality, you can allocate resources more effectively, minimize costs and safely serve your customers. As part of our recently launched Q&A perspective series, Suzanne Pomposello, Experian’s Strategic Account Director for CEM vertical markets, and William Palmer, Senior Sales Engineer, provided insight on how utility providers can manage and maintain accurate client data during system migrations and modernizations, achieve a single customer view and implement an operational data quality program. Check out what they had to say: Q: What are the best practices for effective data quality management that utility providers should follow? SP: To ensure data quality, we advise starting with a detailed understanding of the data your organization is currently maintaining and how new data entering your systems is being utilized. Conducting a baseline assessment and being able to properly validate the accuracy of your data is key to identifying areas that require cleansing and enrichment. Once you know what improvements and corrections need to be made, you can establish a strategy that will empower your organization to unlock the full potential of your data. Q: How does Experian help clients improve their data hygiene? SP: Experian has over 30 years of expertise in data cleansing, which is tapped to help clients deploy tactics and strategies to ensure an acceptable level of data integrity. First, we obtain a complete picture of each organizations objectives and challenges. We then assess the quality of their data and identify sources that require remediation. Armed with insight, we work alongside organizations to develop a phased action plan to standardize and enhance their data. Our data management solutions satisfy a wide range of needs and can be consumed in real-time, bulk and batch form. Q: Are there any protection regulations to be aware of when obtaining updated data? WP: Unlike Experian’s regulated divisions, most Experian Data Quality data elements are not burdened by complex regulations and restrictions. Our focus is on organizations’ main customer data points (e.g., address, email address and phone). We reference this data against unregulated source systems to validate, append and complete customer profiles. Experian’s data quality management tools can serve as a foundation for many regulatory, compliance and governance requirements, including, Metro 2 reporting, TCPA and CCPA. Q: Are demos of Experian’s data management solutions available? If so, where can they be accessed? WP: Yes, you can visit our website to view product functionality clips and recorded demonstrations. Additionally, we welcome the opportunity to explore our comprehensive data quality management tools via tests and live demonstrations using actual client data to gain a better understanding of how our solutions can be used to improve operational efficiency and the customer experience. For more insight on how to cleanse, standardize, and enhance your data to make sure you get the most out of your information, watch our Experian Symposium Series event on-demand. Watch now Learn more About Our Experts: Suzanne Pomposello, Strategic Account Director, Experian Data Quality, North America Suzanne manages the energy vertical for Experian’s Data Quality division, supporting North America. She brings innovative solutions to her clients by leveraging technology to deliver accurate and validated contact data that is fit for purpose. William Palmer, Senior Sales Engineer, Experian Data Quality, North America William is a Senior Sales Engineer for Experian’s Data Quality division, supporting North America. As an expert in the data quality space, he advises utility clients on strategies for immediate and long-term data hygiene practices, migrations and reporting accuracy.

New challenges created by the COVID-19 pandemic have made it imperative for utility providers to adapt strategies and processes that preserve positive customer relationships. At the same time, they must ensure proper individualized customer treatment by using industry-specific risk scores and modeled income options at the time of onboarding As part of our ongoing Q&A perspective series, Shawn Rife, Experian’s Director of Risk Scoring, sat down with us to discuss consumer trends and their potential impact on the onboarding process. Q: Several utility providers use credit scoring to identify which customers are required to pay a deposit. How does the credit scoring process work and do traditional credit scores differ from industry-specific scores? The goal for utility providers is to onboard as many consumers as possible without having to obtain security deposits. The use of traditional credit scoring can be key to maximizing consumer opportunities. To that end, credit can be used even for consumers with little or no past-payment history in order to prove their financial ability to take on utility payments. Q: How can the utilities industry use consumer income information to help identify consumers who are eligible for income assistance programs? Typically, income information is used to promote inclusion and maximize onboarding, rather than to decline/exclude consumers. A key use of income data within the utility space is to identify the eligibility for need-based financial aid programs and provide relief to the consumers who need it most. Q: Many utility providers stop the onboarding process and apply a larger deposit when they do not get a “hit” on a certain customer. Is there additional data available to score these “no hit” customers and turn a deposit into an approval? Yes, various additional data sources that can be leveraged to drive first or second chances that would otherwise be unattainable. These sources include, but are not limited to, alternative payment data, full-file public record information and other forms of consumer-permissioned payment data. Q: Have you noticed any employment trends due to the COVID-19 pandemic? How can those be applied at the time of onboarding? According to Experian’s latest State of the Economy Report, the U.S. labor market continues to have a slow recovery amidst the current COVID-19 crisis, with the unemployment rate at 7.9% in September. While the ongoing effects on unemployment are still unknown, there’s a good chance that several job/employment categories will be disproportionately affected long-term, which could have ramifications on employment rates and earnings. To that end, Experian has developed exclusive capabilities to help utility providers identify impacted consumers and target programs aimed at providing financial assistance. Ultimately, the usage of income and employment/unemployment data should increase in the future as it can be highly predictive of a consumer’s ability to pay For more insight on how to enhance your collection processes and capabilities, watch our Experian Symposium Series event on-demand. Watch now Learn more About our Experts: Shawn Rife, Director of Risk Scoring, Experian Consumer Information Services, North America Shawn manages Experian’s credit risk scoring models while empowering clients to maximize the scope and influence of their lending universe. He leads the implementation of alternative credit data within the lending environment, as well as key product implementation initiatives.