Greater transparency in buy now, pay later activity is key to helping consumers build their credit histories and supporting responsible lending.
Experian North AmericaScott Brown, Group President, Financial Services
Affirm plans to report all pay-over-time loan products issued from April 1, 2025, and beyond, including Pay-in-4. The move will help drive greater transparency into the buy now, pay later market while helping consumers build their credit histories over time.
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Today, we stand at the forefront of a digital revolution that is reshaping the financial services industry. And, against this backdrop, financial institutions are at vastly different levels of maturity; the world’s biggest banks are managing large-scale infrastructure migrations and making significant investments in AI while regional banks and credit unions are putting plans in place for modernization strategies, and fintechs are purpose-built and cloud native. To explore this more, I recently had the privilege of attending the annual Reuters NEXT live event in New York City. The event gathers globally recognized leaders across business, finance, technology, and government to tackle some of today’s most pressing issues. On the World Stage, I joined Del Irani, a talented anchor and broadcast journalist, to discuss the future of lending and the pivotal role of data and AI in building a more inclusive financial system. Improving financial access Our discussion highlighted the lack of access to traditional financial systems, and the impact it has on nearly 100 million people in North America alone. Globally, the problem affects over one billion people. These people, who are credit invisible, unscoreable, or have subprime credit scores, are unable to secure everyday financial products that many of us take for granted. What many don’t realize is, this is not a fringe subset of the population. Most of us, myself included, know someone who has faced the challenges of financial exclusion. Everyday Americans, including young people who are just starting out, new immigrants and people from diverse communities, often lack access to mainstream financial products. We discussed how traditional lending has a limited view of a consumer. Like looking through a keyhole, the lender’s understanding of the person in view is often incomplete and obstructed. However, with expanded data, technology, and advanced analytics, there is an opportunity to better understand the whole person, and as a result have a more inclusive financial system. At Experian, we have a unique ability to connect the power of traditional credit with alternative data, bringing a more holistic understanding of consumers and their behaviors. We are dedicated to leveraging our rich history in data and our expertise in technology to create the future of credit and ultimately bring financial power to everyone. The future of lending After spending two days with over 700 industry leaders from around the world, one thing is abundantly clear: much like the early days of the internet, today, we are at the cutting-edge of a technical revolution. Reflecting on my time at Reuters NEXT, I am particularly excited by the collective commitment to drive innovative, and smarter ways of working. We are only beginning to scratch the surface of how data and technology can transform financial services, and Experian is positioned to play a significant role. As we look to the future, I am excited about the ways we will create new opportunities for businesses and consumers alike.
The advertising ecosystem has seen significant transformation over the past few years, with increased privacy regulation, changes in available signals, and the rise of channels like connected TV and retail media. These changes are impacting the way that consumers interact with brands and how brands understand and continue to deliver relevant messages to consumers with precision. Experian has been helping marketers navigate these changes, and as a result, our marketing data and identity solutions underpin much of today’s advertising industry. We’re committed to empowering marketers and agencies to understand and reach their target audiences, across all channels. Today, we are excited to announce our acquisition of Audigent—a leading data and activation platform in the advertising industry. With Audigent’s combination of first-party publisher data, inventory and deep supply-side distribution relationships, publishers, big and small, can empower marketers to better understand their customers, expand the reach of their target audiences and activate those audiences across the most impactful inventory. I am excited to bring together Audigent’s supply-side network as a natural extension to our existing demand-side capabilities. Audigent’s ability to combine inventory with targeted audiences using first-party, third-party and contextual signals provides the best of all worlds, allowing marketers to deliver campaigns centered on consumer choices, preferences, and behaviors. The addition of Audigent further strengthens our strategy to be the premier independent provider of marketing data and identity, ultimately creating more relevant experiences for consumers. To learn more about Experian and Audigent, visit https://www.experian.com/marketing/ and https://audigent.com/.
Experian’s culture of innovation continues to be a remarkable differentiator for our people, products and solutions. Our innovation is driven by the confluence of data with creative, critical thinking that enables each worker and the company as a whole to tackle complex problems. Our capability to collect, analyze and employ data lies at the very heart of our business at Experian. We go to extraordinary lengths to ensure that our sources, models, and processes are unimpeachable. Given Experian’s decades-long background in curating massive amounts of data, knowing the proper questions to ask regarding how to collect, analyze, and manage data is vital. Answering those questions lies at the heart of an article that recently appeared in the HBR (Harvard Business Review) Guide to Critical Thinking book to help business leaders navigate their most challenging issues. The article highlights Experian Boost and our work in the cloud as key innovations that help our customers, and poses four critical questions that businesses must ask themselves about their use of data to ensure positive outcomes: 1. How was the data sourced?The quality and care with which data is collected varies widely. Poor-quality data, or data used in the wrong context, can actually be worse than no data at all. Managers shouldn’t just assume their data is accurate and of good quality. Auditing data transactions is becoming as common as auditing financial transactions. 2. How was the data analyzed?Even when data is accurate and well maintained, the quality of analytic models can vary widely. Errors and lapses are relatively common and can lead to serious consequences. At Experian, we constantly scrutinize our models to ensure they achieve their specific objectives and their output reflects the real world. 3. What doesn’t the data tell us?Data models are a lot like humans: they tend to base judgments on the most readily available information — sometimes, the data you don’t have can affect decision making as much as the data you possess. And human designers often pass it on to automated systems. In the article, Experian Boost is cited as an example of adding key data to a credit history to help “thin-file” consumers raise their scores to help qualify them to buy a car, rent an apartment, or get a credit card. 4. How can we gain full advantage from the data? For example, by using it to redesign products, services or business models.Companies have learned how data can help run business more efficiently by automating processes, predicting when machines need maintenance, and improving customer service. Real opportunities come when data enables a company to completely re-imagine its business. We’ve leveraged the cloud to shift from only delivering processed data in credit reports to a service that gives our customers near real-time access to far more granular data. That may seem like a subtle transition, but it’s become one of the fastest-growing parts of Experian’s business. Check out the full article, “Data-Driven Decisions Start with These 4 Questions,” written by Eric Haller, Executive Vice President and General Manager, Identity, Fraud & DataLabs at Experian, and Greg Satell, an international keynote speaker, adviser and bestselling author.
Today’s decision by the First Tier Tribunal substantially overturns the ICO’s Enforcement Notice issued against Experian in 2020. It represents a welcome development for the consumers, small businesses and charities across the UK that rely on the services provided by Experian. The Tribunal found, in contrast to the ICO’s Enforcement Notice, that the vast majority of our practices meet GDPR requirements, including the transparency that we provide consumers through our Credit Reference Agency Information Notice and our Consumer Information Portal. We are very pleased with this outcome. We also welcome the clarification concerning the provision of notifications to people whose data we collect solely from public records, who represent a very small percentage of our UK marketing database. We will build this into our processes in accordance with the Tribunal’s time requirement. We share the ICO’s goals on the need to provide transparency, maintain privacy and ensure consumers are in control of their data. As we have stated throughout these proceedings, we remain deeply committed to transparency, safeguarding privacy, and helping consumers to better understand and control the use of their data.
Healthcare providers are struggling to address the high volume of insurance claims denials. It’s one of the top contributors to wasted dollars to the tune of more than $250 billion per year, according to industry reports. A denied claim means healthcare providers, like hospitals, are not getting reimbursed for care, leaving much-needed funds on the table. The cause of a denied claim is often due to incorrect data. The result? An endless cycle of submissions and resubmissions, which not only affects providers’ financial stability, but also puts pressure on the issue of staffing shortages with rounds of rework. You could even argue patients experience pains with this administrative burden, as inefficiencies could result in higher out-of-pocket costs. It’s no surprise that reducing claim denials is at the top of many healthcare leaders’ wish lists. In fact, a recent Experian Health survey among healthcare executives found that 72 percent said reducing denials was their highest priority. Experian Health aims to simplify the administrative aspects of healthcare and we recognize the claims process is currently one of the most challenging for providers. From the perils experienced with manual data entry to payer codes changing frequently to the decentralization of data and lack of staffing, the industry must adopt new ways to tackle the claims denial conundrum. We believe the solution involves tapping into the benefits of using artificial intelligence and are proud to announce the launch of AI Advantage™, an artificial intelligence engine in our #1 KLAS ranked ClaimSource® suite. With two new claim reimbursement products for the pre- and post-submission process, AI Advantage – Predictive Denials™ and AI Advantage – Denial Triage™, these products offer real-time intelligence and predictive modeling to prevent avoidable denials and prioritize re-submissions, leading to greater efficiencies and faster recouped revenue. This is an example of how Experian Health is using AI, analyzing and processing data and information in ways others can’t to solve problems. The next frontier in healthcare is upon us and the industry must embrace the technologies that make administrative processes faster and more efficient to allow providers to be more financially solvent and, most importantly, be in a better position to focus on patient care. For more information about AI Advantage, click here.
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