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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.

Lenders are under pressure to improve access to financial services, but can it also be a vehicle for driving growth? With the global pandemic and social justice movements exposing societal issues of equity, financial institutions are being called upon to do their part to address these problems, too. Lenders are increasingly under pressure to improve access to the financial system and help close the wealth gap in America.  Specifically, there are calls to improve financial inclusion – the process of ensuring financial products and services are accessible and affordable to everyone. Financial inclusion seeks to remove barriers to accessing credit, which can ultimately help individuals and businesses create wealth and elevate communities. Activists and regulators have singled out the current credit scoring system as a significant obstacle for a large portion of U.S. consumers.  From an equity standpoint, tackling financial inclusion is a no-brainer: better access to credit allows more consumers to secure safer housing and better schools, which could lead to higher-paying jobs, as well as the ability to start businesses and get insurance. Being able to access credit in a regulated and transparent way underpins financial stability and prosperity for communities and is key to creating a stronger economic system. Beyond “doing the right thing," research shows that financial inclusion can also fuel business growth for lenders.  Get ahead of the game  There is mounting regulatory pressure to embrace financial inclusion, and financial institutions may soon need to comply with new mandates. Current lending practices overlook many marginalized communities and low-income consumers, and government agencies are seeking to change that.  Government agencies and organizations, such as the Consumer Financial Protection Bureau (CFPB) and Office of the Comptroller of the Currency (OCC), are requiring greater scrutiny and accountability of financial institutions, working to overhaul the credit reporting system to ensure fairness and equality.  As a lender, it makes good business sense to tackle this problem now. For starters, as more institutions embrace Corporate Social Responsibility (CSR) mandates—something that's increasingly demanded by shareholders and customers alike—financial inclusion is a natural place to start. It demonstrates a commitment to CSR principles and creates a positive brand built on equity.  Further, financial institutions that embrace these changes gain an early adopter advantage and can build a loyal customer base. As these consumers begin to build wealth and expand their use of financial products, lenders will be able to forge lifelong relationships with these customers.  Why not get a head start on making positive organizational change before the law compels it?  Grow your business (and profits)  To be sure, financial inclusion is a pressing moral imperative that financial institutions must address. But financial inclusion doesn't come at the expense of profit. It represents an enormous opportunity to do business with a large, untapped market without taking on additional risk. In many instances, unscorable and credit invisible consumers exhibit promising credit characteristics, which the conventional credit scoring system does not yet recognize.  Consider consumers coming to the U.S. from other countries. They may have good credit histories in their home countries but have not yet established a credit history here. Likewise, many young, emerging consumers haven't generated enough history to be categorized as creditworthy. And some consumers may simply not utilize traditional credit instruments, like credit cards or loans. Instead, they may be using non-bank credit instruments (like payday loans or buy-now-pay-later arrangements) but regularly make payments.  Ultimately, because of the way the credit system works, research shows that lenders are ignoring almost 20 percent of the U.S. population that don't have conventional credit scores as potential customers. These consumers may not be inherently riskier than scored consumers, but they often get labelled as such by the current credit scoring system. That's a major, missed opportunity!  Modern credit scoring tools can help fill the information gap and rectify this. They draw on wider data sources that include consumer activities (like rent, utility and non-bank loan payments) and provide holistic information to assist with more accurate decisioning. For example, Lift Premium™ can score 96 percent of Americans with this additional information—a vast improvement over the 81 percent who are currently scored with conventional credit data.1 By tapping into these tools, financial institutions can extend credit to underserved populations, foster consumer loyalty and grow their portfolio of profitable customers.  Do good for the economy  Research suggests that financial inclusion can provide better outcomes for both individuals and economies. Specifically, it can lead to greater investment in education and businesses, better health, lower inequality, and greater entrepreneurship.  For example, an entrepreneur who can access a small business loan due to an expanded credit scoring model is subsequently able to create jobs and generate taxable revenue. Small business owners spend money in their communities and add to the tax base – money that can be used to improve services and attract even more investment.  Of course, not every start-up is a success. But if even a portion of new businesses thrive, a system that allows more consumers to access opportunities to launch businesses will increase that possibility.  The last word  Financial inclusion promotes a stronger economy and thriving communities by opening the world of financial services to more people, which benefits everyone. It enables underserved populations to leverage credit to become homeowners, start businesses and use credit responsibly—all markers of financial health. That in turn creates generational wealth that goes a long way toward closing the wealth gap.  And widening the credit net also enables lenders to uncover new revenue sources by tapping new creditworthy consumers. Expanded data and advanced analytics allow lenders to get a fuller picture of credit invisible and unscorable consumers. Opening the door of credit will go a long way to establishing customer loyalty and creating opportunities for both consumers and lenders.  Learn more

Student loan forbearance, part of the Coronavirus Aid, Relief, and Economic Security (CARES Act) economic stimulus bill that paused student loan repayment, interest accrual, and collections, is set to expire on May 1, 2022.  Borrowers who carry  federal student loans in the United States need to anticipate the resumption of repayment and interest accrual. In this article, we’ll answer questions your borrowers will be asking about the end of the student loan pause and how they can better prepare.   Lenders and servicers should anticipate an influx of requests for modification and for private student loan lenders, a potential significant push for refinancing.   When do student loans resume and when does student loan interest start again?  Student loan repayments and resumption of interest accruals are set to resume on May 1, 2022. This means that student loans will start accruing interest again, and payments will need to resume on the existing payment date. In other words, if the due date prior to the pause was the fifth of every month, the first repayment date will be May 5, 2022.  In the weeks preceding this, borrowers can expect a billing statement from their student loan servicer outlining their debt and terms or they can reach out to their servicers directly to get more information.  Will student loan forbearance be extended again? Will the CARES Act be extended?  There is no indication that the federal government will extend student loan forbearance beyond May 1, 2022, which was already extended beyond the original deadline in February 2022. Your borrower’s best strategy is to prepare now for the resumption of repayments, interest accrual and collections. Will Biden forgive student loans?  Free community college tuition and federal student loan forgiveness up to $10,000 were a centerpiece of the Biden platform during his candidacy for president and were included in early iterations of the government's Build Back Better agenda. In February 2022, during bargaining, the administration removed the free tuition provision from the bill. The Build Back Better bill has yet to pass.  Although there remains a student loan relief provision in the draft Build Back Better agenda, there is no guarantee that it will make it into the final iteration.  What should borrowers do if they paid student loans using auto-debit?  Most borrowers will need to restart auto-debit after the student loan pause. If auto-debit or ACH was used prior to the student loan pause went into effect on March 13, 2020, borrowers can expect to receive a communication from their servicer confirming they wish to continue with auto-debit. If the borrower doesn’t respond to this notice, the servicer may cancel auto-debit. If the borrower signed up for auto-debit after the beginning of forbearance, payments should automatically begin.  How much interest will borrowers have to pay?  Unless terms have changed, such as consolidating loans, the interest rate will be the same as it was before the student loan pause went into effect.  Will balances be the same as they were before the student loan pause? Will it take the same amount of time to pay off the student loan?  For those on a traditional repayment plan, a student loan servicer might recalculate the amount based on the principal and interest and the amount of time left in the repayment period. Borrowers will still make payments for the same number of months in total, but the end date for repayment will be pushed forward to accommodate the payment pause.   In other words, if the loan terms originally stated that it would be repaid in full on January 1, 2030, the new terms will accommodate the pause and show full repayment on January 1, 2032.  For those on an Income-Driven Repayment Plan (IDRP) – such as Revised Pay as You Earn Repayment (REPAYE), Pay As You Earn Repayment (PAYE), Income-Based Repayment (IBR), or Income-Contingent Repayment (ICR) – the payment amount will resume at the same rate as before the payment pause. Student loan forbearance will not delay progress towards repayment.  What are borrower options if the student loan payment is too high?  Enroll in an IDRP program: Available plans include REPAYE, PAYE, IBR or ICR.  Student loan refinancing: When a borrower refinances, he or she can group federal and private loans and possibly negotiate a lower repayment amount. However, they will not be eligible to access federal loans protections or programs.  Loan consolidation: This process allows borrowers to combine multiple federal loans into a single loan with a single payment, which can reduce monthly payments by extending the repayment period. Note this will result in more interest being charged, as the time to repay will be extended. Will this change affect those with private student loans?  Private lenders are not covered by the CARES Act, so student loan forbearance did not apply to them. Most private lenders have continued collecting repayments throughout the COVID-19 pandemic.   Borrowers having trouble making payments to a private lender, can discuss options such as deferment, forbearance, consolidation and modified repayment terms.  What happens if a student loan payment is missed or the borrower can’t pay at all?   If a payment is missed, the account will be considered delinquent. The account becomes delinquent the first day after a missed payment and remains that way until the past-due amount is paid or other arrangements are made.   If the account remains delinquent, the loan may go into default. The amount of time between delinquency and default depends on the student loan servicer. If the loan goes into default, borrowers could face consequences including:  Immediate collections on the entire loan and interest owed Ineligibility for benefits such as deferment and forbearance,   Inability to choose a different payment plan or obtain additional federal student aid  Damage to credit score  Inability to buy or sell assets  Withholding of tax refunds or other federal benefits Wage garnishment A lawsuit Do student loans affect credit scores?  Yes, for delinquent student loans, the servicer will report the delinquency to the three major credit bureaus and the borrower’s credit score will drop.2 A poor credit score can affect a consumer’s ability to obtain credit cards or loans and may make it difficult to sign up with utilities providers, cell phone providers and insurance agencies. It can also be challenging to rent an apartment.  What are the options for those who can’t pay? Can student loans be deferred?  For those with federal student loans, now is the time to prepare for the end of student loan forbearance. Revisit budgets, make sure records are up to date and communicate with student loan servicers to make sure payments can be made in full and on time.  For those unable to pay back loans, they can consider requesting a deferment. A deferment is a temporary pause on student loan payments. Depending on the type of loan, interest may or may not continue to accrue during the deferment.  If they wish to apply for a deferment, they must meet eligibility requirements. Some common grounds for deferment are:  Economic hardship  Schooling  Military service  Cancer treatment  Loan servicers and private lenders should arm themselves for the large volume of questions  from borrowers who are not prepared to begin resuming payment. Now may the time to increase customer service or consider adding student loan consolidation products to serve the increase in demand.  For information on mitigating risk and effectively managing your portfolio, click here.  

While many view Millennials and Gen Z through the same lens, savvy automotive marketers are adjusting their strategies to capture the market of this generation.

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. 

With consumers continuing to take a digital-first approach to everything from shopping to dating and investing, fraudsters are finding new and innovative ways to commit fraud. To help businesses anticipate and prepare for the road ahead, we created the 2022 Future of Fraud Forecast. Here are the fraud trends we expect to see over the coming year: Buy Now, Pay Never: Buy now, pay later lenders will see an uptick in identity theft and synthetic identity fraud. Beware of Cryptocurrency Scams: Fraudsters will set up cryptocurrency accounts to extract, store and funnel stolen funds, such as the billions of stimulus dollars swindled by criminals. Double the Trouble for Ransomware Attacks: Fraudsters will not only ask for a hefty ransom to cede control back to the companies they’ve hacked but also steal and leverage data from the hacked company. Love, Actually?: Romance scams will continue to see an uptick, with fraudsters asking victims for money or loans to cover fabricated travel costs, medical expenses and more. Digital Elder Abuse Will Rise: Older consumers and other vulnerable digital newbies will be hit with social engineering and account takeover fraud. “Businesses and consumers need to be aware of the creativity and agility that fraudsters are using today, especially in our digital-first world,” said Kathleen Peters, Chief Innovation Officer at Experian Decision Analytics in North America. “Experian continues to leverage data and advanced analytics to develop innovative solutions to help businesses prevent fraudulent behavior and protect consumers.” To learn more about how to protect your business and customers from rising fraud trends, download the Future of Fraud Forecast and check out Experian’s fraud prevention solutions. Future of Fraud Forecast Read Press Release

Experian’s newest Global Insights Report found that consumers are online 25% more today than they were just a year ago, highlighting the importance of the digital customer experience. To acquire customers and retain their loyalty, businesses need to focus on improving the online experience, preventing fraud, and managing credit risk.   This September, Experian surveyed 3,000 consumers and 900 businesses across all industries to explore business priorities and recent changes in consumer activities.   Many businesses and consumers are reportedly feeling more economically stable now than they were a year ago. As consumers resume spending the digital customer experience becomes even more paramount – requiring businesses to invest in scalable software solutions that will accurately assess credit risk and meet ever-changing needs and priorities.   Our research found that:   42% of consumers have increased concern for the safety of banking and shopping transactions Business adoption of advanced analytics has increased over last year, and adoption of artificial intelligence is up from 69% to 74% Consumers are more likely to share their personal data if it improves their experience, with 56% willing to share their contact information The top three consumer priorities continue to be security, privacy and convenience   Download the report to get all the latest insights into consumer desires and business behaviors as we move further through the digital evolution. Download the report

Experian’s Sure Profile was selected as a Platinum winner in the “Fraud and Security Innovation” category in the sixth annual Fintech & Payments awards from Juniper Research, a firm dedicated to delivering thought leadership and analysis in the Fintech and Payment industries.   An innovative service in the fight against synthetic identity fraud, Sure Profile is a comprehensive credit profile that provides a composite history of a consumer’s identification, public record, and credit information in order to detect synthetic identities. It utilizes premium data to help businesses identify potential synthetic fraud threats across credit inquiries, thus allowing lenders to transact more confidently with the vast majority of legitimate consumers.   “Experian has always been a leader in delivering innovative services that both combat fraud and provide identity verification and trust to lending environments. Sure Profile delivers an industry-first fraud offering—integrated directly into the credit profile—that mitigates lender losses while protecting millions of legitimate consumers’ identities,” said Keir Breitenfeld, Senior Vice President, Portfolio Marketing, Experian Decision Analytics. “In times of rapid changes to customer interactions, growth strategies, and risk management practices, it’s particularly important to focus on building tools that can help businesses make better decisions and I’m proud that Experian has again provided an instrument to enable those decisions.”   To learn more about Sure Profile and how Experian is working to solve this multibillion-dollar problem, visit us or request a call. Learn more

Chatbots, reduction of manual processes and explainability were all hot topics in a recent discussion between Madhurima Khandelwal, Vice President and Head of DataLabs at American Express®, and Eric Haller, Executive Vice President and head of Experian DataLabs. The importance of AI’s role in innovation in the financial services space was the focus of the recent video interview. In the interview, Khandelwal highlighted some of the latest in what American Express DataLabs is working on to continue to solve complex challenges by building tools driven by AI and Machine Learning: Natural language processing has come a long way in even the last few years. Khandelwal discussed how chat bots and conversational AI can automate the simple to complex to enhance customer experience. Document recognition and processing is another leading-edge innovation that is useful for extracting and analyzing information, which saves staff countless manual hours, Khandelwal said. Fairness and explainability are consistently brought to the forefront especially in financial services as regulators are looking at ways to prevent AI/ML from causing bias for the consumer. Khandelwal showcased how there is extreme rigor in each part of creating their models and how human oversight and training are primary drivers for how they stay on top of this. As for innovation advice, Khandelwal points out that it’s important to be aware that AI and innovation are not always interchangeable, and companies need to think through whether a problem needs to be solved through AI/ML models before charting ahead. Another major key to the equation is the data. In all use cases, the undercurrent of innovation in any form is dependent on the data being used. Learn more about this topic and what Harry Potter has to do with women in data science. Watch the Interview

It’s time for organizations to harness the power artificial intelligence (AI) can bring to digital identity management – quickly and accurately identifying consumers throughout the lifecycle. The rise in crime   The acceleration to digital platforms created a perfect storm of new opportunities for fraudsters. Synthetic identity fraud, stimulus-related fraud, and other types of cybercrime have seen huge upticks within the past year and a half. In fact, the Federal Trade Commission revealed that consumers reported over 360,000 complaints, resulting in more than $580 million in COVID-19-related fraud losses as of October 2021. To protect both themselves and consumers, businesses — especially lenders — will have to find and incorporate new strategies to identify customers, deter fraudsters and mitigate cybercrime. The benefits of AI for digital identity In our latest e-book, we explore the impacts of AI on organizations’ digital identity strategies, including: How changing consumer expectations increased the need for speed The challenges associated with both AI and digital identities The path forward for digital identity and AI How to develop the right strategy Building a solution It’s clear that current digital identity and fraud prevention tools are not enough to stop cybercriminals. To stay ahead of fraudsters and keep consumers happy, businesses need to look to new technologies — ones that can intake and compute large data sets in near-real time for better and faster decisions throughout the customer lifecycle. By using AI, businesses will enjoy a fast and consistent decisioning system that automatically routes questionable identities to additional authentication steps, allowing employees to focus on the riskiest cases and maximizing efficiency. Read our latest e-book to dive into the ways artificial intelligence and digital identity interact, and the benefits a clear identity strategy can have for the entire user journey. Download the e-book

In Experian’s Automotive Market Trends Review: Q2 2021, we looked at the data to better understand EV and internal combustion engine registration trends.

Artificial intelligence is here to stay, and businesses who are adopting the newest AI technology are ahead of the game. From targeting the right prospects to designing effective collections efforts, AI-driven strategies across the entire customer lifecycle are no longer a nice to have - they are a must.  Many organizations are late to the game of AI and/or are spending too much time and money designing and redesigning models and deploying them over weeks and months. By the time these models are deployed, markets may have already shifted again, forcing strategy teams to go back to the drawing board. And if these models and strategies are not being continuously monitored, they can become less effective over time and lead to missed opportunities and lost revenue. By implementing artificial intelligence in predictive modeling and strategy optimization, financial institutions and lenders can design and deploy their decisioning strategies faster than ever before and make incremental changes on the fly to adapt to evolving market trends.  While most organizations say they want to incorporate artificial intelligence and machine learning into their business strategy, many do not know where to start. Targeting, portfolio management, and collections are some of the top use cases for AI/ML strategy initiatives.  Targeting  One way businesses are using AI-driven modeling is for targeting the audiences that will most likely meet their credit criteria and respond to their offers. Financial institutions need to have the right data to inform a decisioning strategy that recognizes credit criteria, can respond immediately when prospects meet that criteria and can be adjusted quickly when those factors change. AI-driven response models and optimized decision strategies perform these functions seamlessly, giving businesses the advantage of targeting the right prospects at the right time.  Credit portfolio management  Risk models optimized with artificial intelligence and machine learning, built on comprehensive data sets, are being used by credit lenders to acquire new revenue and set appropriate balance limits. Strategies built around AI-driven risk models enable businesses to send new offers and cross-sell offers to current customers, while appropriately setting initial credit limits and managing limits over time for increased wallet share and reduced risk.   Collections  AI- and ML-driven analytics models are also optimizing collections strategies to improve recovery rates. Employing AI-powered balance and response models, credit lenders can make smarter collections decisions based on the most predictive and accurate information available.   For lending businesses who are already tight on resources, or those whose IT teams cannot meet the demand of quickly adapting to ever-changing market conditions and decisioning criteria, a managed service for AI-powered models and strategy design might be the best option. Managed service teams work closely with businesses to determine specific use cases, develop models to meet those use cases, deploy models quickly, and monitor models to ensure they keep producing and predicting optimally.  Experian offers Ascend Intelligence Services, the only managed service solution to provide data, analytics, strategy and performance monitoring. Experian’s data scientists provide expert guidance as they collaborate with businesses in developing and deploying models and strategies around targeting, acquisitions, limit-setting, and collections. Once those strategies are deployed, Experian continually monitors model health to ensure scores are still predictive and presents challenger models so credit lenders can always have the most accurate decisioning models for their business. Ascend Intelligence Services provides an online dashboard for easy visibility, documentation for regulatory compliance, and cloud capabilities to deliver scores and decisions in real-time.  Experian’s Ascend Intelligence Services makes getting into the AI game easy. Start realizing the power of data and AI-driven analytics models by using our ROI calculator below: initIframe('611ea3adb1ab9f5149cf694e'); For more information about Ascend Intelligence Services, visit our webpage or join our upcoming webinar on October 21, 2021.  Learn more Register for webinar

The collections landscape is changing as a result of new and upcoming legislation and increased expectations from consumers. Because of this, businesses are looking to create more effective, consumer-focused collections processes while remaining within regulatory guidelines. Our latest tip sheet has insights that can help businesses and agencies optimize their collections efforts and remain compliant, including:   Start with the best data Keep pace with changing regulations Focus on agility Pick the right partner Download the tip sheet to learn how to maximize your collections efforts while reducing costs, avoiding reputational damage and fines, and improving overall engagement. Download tip sheet

As last year’s high-volume mortgage environment wanes, lenders are shifting focus to address another set of challenges. Continued economic uncertainty lingers as consumers navigate towards recovery. As such, mortgage lenders have less clarity than normal to assess risk and measure performance in their servicing portfolios. On top of that, more lenders are struggling with customer retention than ever before, due to a historically low rate environment in 2020. These combined factors create a new set of challenges servicers will face in the coming months. We explore a few of these challenges below. An incomplete picture of risk The CARES Act accommodation reporting structure has made it challenging for servicing teams to fully understand the impact of forbearance in their portfolios. If looking only at a CARES Act accommodated borrower’s credit profile, there is no indication whether that consumer would otherwise be delinquent or headed towards default. In turn, lenders cannot model out risk based on this information alone. Borrowers’ financial situations can still change rapidly, and some are still struggling to regain their financial footing. Property data also plays a part in a holistic view of risk. Partly due to lack of housing inventory, home equity continues to rise in many areas of the country, yet there is still uncertainty around whether prices are overinflated, whether the market will correct itself and by how much, and the impact the foreclosure moratorium may have on one’s portfolio. And property dynamics continue to change due to consumer migration stemming from the onset of virtual or hybrid work environments, where homeowners are less bound geographically to a place of work. Being able to have insight into a holistic view of risk is critical to navigating the upcoming months in mortgage servicing. Low borrower retention 2020’s prevailing low-rate environment continues to persist well into 2021 creating a big challenge for mortgage servicers in terms of borrower retention. Borrowers continue to be incentivized to refinance, and in some instances multiple times, to capture the savings throughout the life of their mortgage. Every time a borrower refinances, the lender who’s servicing the loan risks losing the borrower to another lender. This portfolio runoff can create losses for the lender; high portfolio run off rates have shown to negatively impact portfolio performance and investor credibility while increasing marketing cost for new customer acquisition. In our Mortgage in 2021 webinar, we point to the sheer magnitude of this – at the end of 2020, a whopping 33% of first mortgages were less than a year old. Additionally, with the uptick in the number of fintech mortgage lenders and aggregation websites, it has become increasingly easy for consumers to shop for alternative options. Being able to predict the consumers likely to refinance can help servicers retain existing customers and reduce losses. Lack of operational efficiency Lenders and servicers had to increase the capacity of their systems, oftentimes at the turn of a dime, due to last year’s record-breaking origination volumes. This led to massive growing pains while simultaneously stress-testing a company’s systems and processes. As a result, the overall cost to produce a mortgage has risen. Borrower data hygiene poses a challenge for many servicers as well. There was a lot of movement in 2020 in terms of mergers and acquisitions which may also affect servicers’ operational efficiency. Marrying several disparate data points during such events can lead to borrower data inconsistencies and duplicates across loan origination systems. And as consumers come out of forbearance or deferral status, servicers are managing more calls to their inbound call centers, increasing the scope of the problem.  Having tools to ensure data accuracy and correct consumer contact information can help reduce operating cost. Conclusion There certainly is a lot of pressure on servicers to optimize and be in a position to efficiently help homeowners in need as forbearance and foreclosure moratoriums end. But with the right data, insights and partners, mortgage servicers can navigate these challenges all while managing risk and enabling the business to grow safely. In our next blog, we highlight what forward-thinking lenders and servicers are focusing on now to navigate the upcoming months in mortgage servicing. Learn more

The Telephone Consumer Protection Act (TCPA), which regulates telemarketing calls, autodialed calls, prerecorded calls, text messages and unsolicited faxes, was originally passed in 1991. Since that time, there have been many rulings and updates that impact businesses’ ability to maintain TCPA compliance.   Recent TCPA Changes   On December 30, 2020, the Federal Communications Commission (FCC) updated a number of TCPA exemptions, adding call limits and opt-out requirements, and codifying exemptions for calls to residential lines.   These changes, along with other industry changes, have added additional layers of complication to keeping compliant while still optimizing operations and the consumer experience.   Maintaining TCPA Compliance   Businesses who do not maintain TCPA compliance could be subject to a lawsuit and paying out damages, and potential hits to their reputation.   With the right partner in place, businesses can maintain data hygiene and accuracy to increase right-party contact (and reduce wrong-party contact) to keep collections streamlined and improve the customer experience.   Using the right technology in place, it’s easier to:   Monitor and verify consumer contact information for a better customer experience while remaining compliant. Receive and monitor daily notifications about changes in phone ownership information. Maintain compliance with Regulation F by leveraging a complete and accurate database of consumer information.   When searching for a partner, be sure to look for one who offers data scrubbing, phone type indicators, phone number scoring, phone number identity verification, ownership change monitoring, and who has direct access to phone carriers.   To learn more about how the right technology can help your business maintain TCPA compliance, visit us or request a call. Learn more