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If it looks like a bank and acts like a bank, there’s a good chance the company behind that financial services transaction may not actually be a bank – but a fintech. Born out of Silicon Valley, New York and tech hubs in between, fintechs have been categorically unfettered from regulation and driven by a focus on customer acquisition and revenue growth. Today, the fintech market represents hundreds of billions of dollars globally and has been disrupting financial services with the goal of delightful customer experiences and democratizing access to credit and banking. Their success has led many fintechs to update their strategy and growth targets and set their sites outside of core banking to other sectors including payments, alternative lending, insurance, capital markets, personal wealth management, alternative lending and others. Depending on the strategy, many are seeking a bank charter, or a partnership with a chartered financial institution to accomplish their new growth goals. Meanwhile, all this disruption has caught the attention of banks and credit unions who are keen to work with these marketplace lenders to grow deposits and increase fee-revenue streams. Historically, obtaining a bank charter was an onerous process, which led many fintechs to actively seek out partnerships with financial institutions in order to leverage their chartered status without the regulatory hurdles of becoming a bank. In fact, fintech and FI partnerships have boomed in the last few years, growing more than five times over the past decade. Gone are the days of the zero-sum game that benefits solely the bank or the fintech. Today, there are more than 30 partner banks representing hundreds of fintech relationships and financial services. These partnerships vary in size and scope from household names like Goldman Sachs, which powers the Apple credit card, to Hatch Bank, which has $68 million in assets and started with a single fintech partner, HM Bradley.[1] But which scenario is right for your fintech? Much of that depends on which markets and lines of business round out your growth strategy and revenue goals. Regardless of what framework you determine is right for your fintech, you need to work with partners who have access to the freshest data and models and a firm handle on the regulatory and compliance landscape. Experian can help you navigate the fintech regulatory environment and think through if partnering with a bank or seeking your own fintech charter is the best match for your growth plan. In the meantime, check out this new eBook for more information on the bank charter process and benefits, fintech-FI partnerships and the implications of the Office of the Comptroller of the Currency (OCC) new fintech charter. Read now Explore Fintech solutions   [1] https://a16z.com/2020/06/11/the-partner-bank-boom/

Published: July 27, 2021 by Kim Le

For credit unions, having the right income and employment verification tools in place helps to create an application process that is easy and low friction for both new and existing members. Digital first is member first The digital evolution created an expectation for online experiences that are simple, fast, and convenient. Attracting and building trusted, loyal relationships and paving the way for new revenue-generating opportunities now hinges on a lender's ability to provide experiences that meet those expectations. At the same time, market volatility and economic uncertainty are driving catalysts behind the need for credit unions to gain a more holistic view of a member’s financial stability. To gain a competitive advantage in today’s lending environment, credit unions need income and employment verification solutions that balance two often polarizing business drivers: member experience and risk management. While verified income and employment data is key to understanding stability, it’s equally important to streamline the verification process and make it as frictionless as possible for borrowers. With these things in mind, here are three considerations to help credit unions ensure their income and employment verification process creates a favorable member experience. The more payroll records, the better Eliminate friction for members by tapping into a network of millions of unique employer payroll records. Gaining instant access into a database of this scale helps enable decisions in real-time, eliminates the cost and complexity of many existing verification processes, and allows members to skip cumbersome steps like producing paystubs. Create a process with high configuration and flexibility Verification is not a one-size-fits-all process. In some cases, it might be advantageous to tailor a verification process. Make sure your program is flexible, scalable and highly configurable to meet your evolving business needs. It should also have seamless integration options to plug and play into your current operations with ease. The details are in the data When it comes to income and employment verification, make sure that you are leveraging the most comprehensive source of consumer information. It’s important that your program is powered by quality data from a wealth of datasets that extend beyond traditional commercial businesses to ensure you are getting the most comprehensive view. Additionally, look to leverage a network of exclusive employer payroll records. With both assets, make sure you understand how frequently the data is refreshed to be certain your decisioning process is using the freshest and highest-quality data possible. Implementing the right solution By including a real-time income and employment verification solution in your credit union’s application process, you can improve the member experience, minimize cost and risk, and make better and faster decisions. To learn more about Experian’s income and employment verification solutions, or for a complimentary demo, feel free to contact an expert today. Learn more Contact us

Published: July 21, 2021 by Guest Contributor

Earlier this year, we shared our predictions for five fraud threats facing businesses in 2021. Now that we’ve reached the midpoint of the year and economic recovery is underway, we’re taking another look at how these threats can impact businesses and consumers.   Putting a Face to Frankenstein IDs: Synthetic identity fraudsters will attempt to bypass fraud detection methods by using AI to combine facial characteristics from different people to form a new identity. Overexposure: As many as 80% of SSNs may have been exposed on the dark web, creating opportunities for account application fraud. The Heist: Surges in data breaches, advances in automation, expanded online banking services and vulnerabilities exposed from social engineering mistakes have lead to rises in account takeover fraud. Overstimulated: Opportunistic fraudsters may take advantage of ongoing relief payments by using stolen data from consumers. Behind the Times: Businesses with lackluster fraud prevention tools and insufficient online security technology will likely experience more attacks and suffer larger losses.   To learn more about upcoming fraud threats and how to protect your business, download our new infographic and check out Experian’s fraud prevention solutions. Download infographic Request a call

Published: July 8, 2021 by Guest Contributor

As stimulus-generated fraud wanes, we anticipate a return of more traditional forms of fraud, including account opening fraud. As businesses embrace the digital evolution and look ahead to responsible growth, it’s important to balance the customer experience with the risks associated with account opening fraud. Preventing account opening fraud requires a layered fraud and identity management strategy that allows you to approve good customers while keeping criminals out. With the right tools in place, you can optimize the customer experience while still keeping risk low. Download infographic Review your fraud strategy

Published: July 6, 2021 by Guest Contributor

Establishing a strong digital strategy remains a top priority for most financial institutions. With more eyes on screens and electronic devices, the pandemic-induced shift to digital has increased the need to meet consumers where they are. New Innovations As a Result of an Accelerated Shift to Digital  In Ernst & Young’s 2019 biannual Global Fintech Adoption Index, 46% of American respondents indicated they were using at least one fintech service. Fast forward, COVID-19 has accelerated the American adoption rate to 59%, according to a September survey conducted by Plaid, a leading digital payments infrastructure company. This shift to digital also resulted in an uptick in the creation of banking and savings processes that leverage advanced technologies. For example, digital-first technologies and artificial intelligence (AI) are changing the prescreen landscape as never before. For financial institutions, smart prescreen marketing solutions, coupled with a traditional approach to personalized service, present vast opportunities to build deeper consumer relationships. However, implementing an effective strategy can be challenging. In a recent webinar, Experian’s Vice President of Product Management Jacob Kong tackled the topic of using new analytics and AI to create a digital-first strategy. Joined by Mark Sievewright, founder of Sievewright & Associates and co-author of Digital Life, and Devon Kinkead, CEO of Micronotes.ai, they explored the evolution of banking and the possibilities offered by pairing data with technology in our new digital world. Watch the full webinar, 'Digital-First Strategies: New Analytics and Artificial Intelligence for Marketing,' and learn more about: The shift to digital life and banking, new analytics and AI How data and information value empowers prescreen marketing Emerging technologies and new tools that can support aggressive growth and marketing initiatives while mitigating risk How Experian is joining forces with Micronotes.ai to launch Micronotes ReFI powered by Experian, to help lower customers’ or members’ borrowing costs by refinancing mispriced debt Learn more about Micronotes ReFI powered by Experian To explore how Experian’s solutions and capabilities can power your prescreen and marketing strategies, please visit our solutions page or contact us for more information. Contact Us

Published: July 2, 2021 by Kim Le

Experian’s Q1 2021 Automotive Market Trends Review revealed that some of the once-consistent new registration generational trends have reversed.

Published: July 1, 2021 by Guest Contributor

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

Published: June 30, 2021 by Guest Contributor

The AutoCheck® Elite program enables auto dealerships to better understand the vehicles in their market. And, right now, making strategic decisions about stocking the right inventory and marketing to the right consumers has never been more important.

Published: June 29, 2021 by Kirsten Von Busch

In the Q1 2021 Market Trends Review, we explore the average age myth and highlight other ways to inform aftermarket strategy.

Published: June 29, 2021 by Guest Contributor

Premier Awards Program Recognizes Breakthrough Financial Technology Products and Companies Experian’s Ascend Intelligence Services was selected as a winner of the “Consumer Lending Innovation Award” category in the fifth annual Fintech Breakthrough Awards conducted by Fintech Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies and products in the global fintech market today. The Fintech Breakthrough Awards is the premier awards program founded to recognize the fintech innovators, leaders and visionaries from around the world in a range of categories, including digital banking, personal finance, lending, payments, investments, RegTech, InsurTech and many more. The 2021 Fintech Breakthrough Awards attracted more than 3,850 nominations from across the globe. One of the latest developments on Experian's trusted, award-winning Ascend platform, Ascend Intelligence Services empowers financial services firms with Experian’s revolutionary managed analytics solutions and services, delivered on a modern-tech AI platform. Ascend Intelligence Services includes rapid model development, seamless deployment, optimized decision strategies, ongoing performance monitoring and continuous retraining. The technology-enabled service uses a secure cloud-based AI platform to harness the power of machine learning, and deliver unique capabilities covering the entire credit lifecycle, through an easy-to-use web portal. “To stay ahead of the latest economic conditions, fintechs need high-quality analytical models running on large and varied data sets that empower them to act quickly and decisively. The breakthrough Ascend Intelligence Services platform answers this immediate market need,” said James Johnson, Managing Director, Fintech Breakthrough. “Congratulations to Experian and the Ascend team on winning our ‘Consumer Lending Innovation Award’ for 2021 with this game-changing solution.” “Data scientists are spending too much time on manual, repetitive and low value-add tasks, and organizations cannot afford to do this is in a state of constant change,” said Srikanth Geedipalli, Experian’s SVP Global Analytics/AI Products. “While building and deploying high-quality analytical models can be time-consuming and expensive, Ascend Intelligence Services streamlines this process by harnessing the power of machine learning and Experian’s rich data assets to drive better, faster and smarter decisions. We have been able to deliver analytical solutions to clients up to 4X faster, significantly improving decision automation rates and increasing approval rates by double digits. We are proud that Ascend Intelligence Services is being recognized as a breakthrough solution in the 2021 Fintech Breakthrough Awards program,” he said. Ascend Intelligence Services is comprised of four modules: Ascend Intelligence Services Challenger™ is a powerful, dynamic and collaborative model development service that enables Experian to rapidly build a model and quantify the benefit to business. Businesses can review, comment on and approve the model, all from within the web portal, while it’s being built. The resulting score is available for testing through an API endpoint and can be deployed in production with a few easy steps. Reports are customizable, downloadable and regulatory compliant. Ascend Intelligence Services Pulse™ is a proactive model monitoring and validation service, which aids companies in monitoring the health of models that drive their business decisions. Pulse, provides convenient dashboards that include a model health index, performance summary, stress-testing results, model risk management reporting, model health alerts and more. Additionally, Pulse automatically builds challengers for champion models, providing an estimated performance lift and financial benefit. Ascend Intelligence Services Strategy Advance™ is a powerful business strategy development service, enabling clients to make optimal lending decisions on their applicants. Strategy Advance uses Experian’s powerful optimization engine to build the right credit policy for clients, including sophisticated decision rules, model overlays and client specified knock-out rules. The resulting decision is available for testing through an API endpoint and can be deployed in production with a few easy steps. Ascend Intelligence Services Limit™ is a credit limit optimization service, enabling clients to make the right credit limit decisions at account origination and during account management. Limit uses Experian’s data, predictive risk and balance models and our powerful optimization engine to design the right credit limit strategy that maximizes product usage, while keeping losses low. The limit decision is available for testing through an API endpoint and can be deployed in production with a few easy steps. To learn more about how Ascend Intelligence Services can support your business, please explore our solutions page. Learn more For a list of all award winners selected for the Fintech Breakthrough Awards, read the full press release here.

Published: June 25, 2021 by Kim Le

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

Published: June 24, 2021 by Guest Contributor

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

Published: June 22, 2021 by Guest Contributor

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

Published: June 15, 2021 by Melinda Zabritski

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

Published: June 10, 2021 by Melinda Zabritski

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

Published: June 9, 2021 by Eric Thompson

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