Data & Analytics

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/.  

When it comes to cybercriminals and threat vectors, we need to expect the unexpected. Experian’s 12th annual Data Breach Industry Forecast highlights several potential trends for 2025, with AI playing a central role. This year has already seen more data breaches and impacted consumers than 2023, indicating that global data breaches are not slowing down. Some things to watch out for next year includes the potential for more internal fraud. As companies train employees on AI, there is a growing risk that some will misuse their knowledge for internal theft and sourcing sensitive information. Another trend may be cyberattackers targeting large data centers, with the growth of generative AI introducing power as a new attack vector. It’s reported that a single ChatGPT query uses significantly more electricity than a standard Google search, making data centers and cloud infrastructure vulnerable, especially in countries with varying security standards. We expect AI-related attacks to dominate the headlines next year and investments in cybersecurity will increase to tackle this emerging threat, as hackers leverage AI for phishing, password cracking, malware, and deepfakes. Jim Steven, Head of Crisis and Data Response Services at Experian Global Data Breach Resolution in the UK, anticipates that global data breaches will persist at their current rate next year. He notes that ransomware attacks are likely to become even more sophisticated with the integration of AI. Additionally, Steven predicts that threat actors will escalate their tactics to achieve greater rewards, and the misuse of consumer data to damage reputations will increase in 2025. To access the complimentary report, click here.

Today at Money 20/20 in Las Vegas, Experian unveiled Experian Assistant, a groundbreaking toolset that transforms analytics and modeling for financial institutions. By leveraging Generative AI (GenAI), this revolutionary solution slashes model development turning months-long processes into days—or even hours. Positioned as a game-changer, Experian Assistant offers businesses the equivalent of a seasoned expert, guiding them through complex use cases with ease and redefining how financial organizations approach data-driven insights. Revolutionizing Modeling with Generative AI Experian Assistant marks a significant leap forward in how businesses handle the modeling lifecycle. Integrated into the Experian Ascend Technology Platform™, Experian Assistant is designed to streamline data analytics processes, enhance accuracy, and promote efficiency. This debut underscores Experian’s commitment to responsible AI innovation, ensuring that organizations benefit from advanced analytics without compromising on privacy or ethical standards. “Many financial institutions are looking to invest in new generative AI use cases, often focused on banker specific support,” said Craig Focardi, Principal Analyst at Celent. “Experian Assistant focuses on developer support to accelerate the development lifecycle by having a digital model building consultant available to users.” Empowering Data Scientists and Analysts With its powerful natural language processing (NLP) capabilities, Experian Assistant is reshaping how data scientists and analysts approach complex tasks. Traditionally, navigating large datasets and building models required extensive technical expertise. But now, Experian Assistant allows users to query data, write code, and build models in plain language—democratizing access to sophisticated analytics. The tool not only boosts productivity but also fosters collaboration and accessibility. This innovation will drive financial inclusion by broadening access to data-driven insights and responsible use of data across organizations. Developed in Collaboration with Leading Financial Institutions A standout feature of Experian Assistant is its development in close partnership with the world’s largest financial institutions. This collaboration ensures that the tool is finely tuned to real-world challenges, delivering deep insights into Experian’s data assets. By optimizing analytics processes, businesses can achieve proven cost savings, enhanced data visibility, and faster product deployment. Continental Finance Company, for example, reduced data-building time by a remarkable 75% after adopting Experian Assistant. This kind of impact highlights the tool’s ability to accelerate model development while maintaining strict data privacy standards—a vital consideration for financial institutions. Advanced Compliance and Transparency In today’s highly regulated environment, businesses must not only meet compliance standards but also provide transparency into their processes. Experian Assistant is designed with these needs in mind, offering advanced features that support regulatory reporting, identity management, risk assessments, and transaction monitoring. A Competitive Edge through GenAI With more than a decade of AI expertise, Experian is leading the charge in responsible AI development. At Money 20/20, Experian Assistant stood out as a testament to this leadership. The tool is positioned to offer financial institutions a competitive edge, improving risk assessment, enhancing customer experiences, and promoting financial inclusion. As the financial services industry continues to evolve, businesses that embrace GenAI solutions like Experian Assistant will be better positioned to succeed. This groundbreaking tool is not just an enhancement—it’s a fundamental shift in how analytics and modeling are conducted, offering the speed, accuracy, and transparency that today’s market demands.

Generative AI is not just a technological advancement; it is the driving force behind a revolution in the financial services industry. At the recent VentureBeat Transform conference, financial industry leaders gathered to discuss the transformative potential of Generative AI. Among the panelists was Shri Santhanam, Executive Vice President and General Manager of Software, Platforms, and AI at Experian North America. The session, titled Generative AI: Crafting Smart Solutions for Financial Services, explored how generative AI is revolutionizing the finance sector by crafting intelligent solutions to address unique industry challenges. Santhanam highlighted the significant digital transformation within financial services, driven by AI and machine learning. "Generative AI is having a profound impact on many industries, including financial services," Santhanam stated. He emphasized that AI contributes to better financial inclusion, improved risk assessment, and enhanced customer experiences. Experian's Commitment to AI Innovation Experian has been at the forefront of AI integration, leveraging advanced technologies to drive productivity and enhance customer engagement. A prime example of this commitment is the Ascend Technology Platform, which democratizes access to AI tools for clients and Experian developers.  Santhanam shared insights into Experian's strategic approach to AI adoption. "We invested early in production scale and are very careful about which projects to sponsor for go-to-market. These projects must pass a bar that includes strategic alignment, customization, and regulatory compliance," he explained. Real-World Applications and Future Directions Generative AI is poised to produce significant impacts, particularly in underwriting models, pattern recognition, and automation. Santhanam noted that Experian has made considerable strides in AI integration over the past 12 to 18 months, enhancing coding and engineering productivity among the extensive team of over 2,000 engineers. Additionally, AI-powered dialogues have elevated customer engagement, demonstrating the practical benefits of these technologies. One of the standout features of Experian's approach is the balance between innovation and regulation. Santhanam emphasized the importance of breaking down silos and fostering collaboration between risk and technology teams to navigate the complexities of AI adoption in highly regulated environments. Looking Forward Experian's dedication to responsible AI is evident in its establishment of an AI academy to accelerate upskilling and promote grassroots innovation. By encouraging employees to engage with generative AI and share their successes, Experian fosters a culture of continuous learning and experimentation. As AI continues to evolve, Experian remains committed to adapting to regulatory changes while ensuring fairness, transparency, and non-discrimination in their AI applications. We see tremendous opportunities in enhancing customer engagement, expanding financial inclusion, and streamlining processes through AI. In conclusion, Shri Santhanam's participation in the VentureBeat Transform panel underscores Experian's leadership in leveraging Generative AI to drive innovation and deliver tangible benefits to businesses and consumers. The Ascend Technology Platform exemplifies Experian's commitment to harnessing the power of AI responsibly, setting a benchmark for the financial services industry.

In its 11th year, Experian's Data Breach Resolution group today released its annual Data Breach Industry Forecast for 2024. The report’s global outlook identifies potential moves cybercriminals near and far may take to penetrate organizations and cause chaos. The six predictions included offer commentary into the evolving landscape including the vulnerabilities in expansive data supply chains, what may be new targets, and the sophistication of cyber crews globally. A key reminder is that cybercriminals are working smarter not harder. Like many, they too are potentially leveraging modern tools like artificial intelligence. There may be sophisticated cybergangs operating like organized crime families. Also, hackers today could be backed by growing resources from nation-state sponsors. Their MO is not only stealing data to possibly sell on the dark web or deploy ransomware anymore. They can potentially reap benefits by disrupting economies or industries as we mention in our prediction, “No, not Mother Earth!” or use intellectual property as collateral or for personal gain outlined in the “Winning from the Inside” prediction, for example. There are always new ways of conducting “business” for cybercriminals. In the face of emerging cyber threats, organizations are urged to prioritize cybersecurity as a fundamental aspect of their operations. They should regularly update and reinforce security protocols, conduct thorough risk assessments, and invest in cutting-edge cybersecurity technologies. By staying vigilant and adopting a proactive cybersecurity stance, organizations can significantly mitigate the risks posed by the evolving tactics of cybercriminals in 2024 and beyond. Experian Global Data Breach Resolution offers international resources for companies impacted by a security incident and services include IdentityWorks℠ Global, multilingual call centers, and notifications covering more than 100 countries. Experian has also recently expanded capabilities to Japan, Taiwan and Thailand. To access the complimentary report, visit https://ex.pn/2024databreachindustryforecast.

In the chronicles of business evolution, one often recalls Amazon's humble beginnings as an online book seller before transforming into the e-commerce giant we know today.   Reminiscent of that journey, Experian has undergone its own transformation. It has long since ceased to be simply a “credit bureau” and has instead embraced a story that is far more dynamic and which defies this caricature. The Real Experian: When people associate Experian with being a credit bureau, our response is a resounding, “Yes, but that is only a part of our story." It is the beginning chapter—as data evolved to ‘Big Data’, we layered in technology to understand that data, catapulting our company into a different realm. Today, Experian is a global force with a presence in over 30 countries, boasting a team of 22,000 professionals dedicated to harnessing the power of data and analytics for the betterment of businesses, societies, and consumers worldwide. Embracing Data and Analytics: At the core of our story lies a commitment to embrace data and analytics in a way that only Experian can. We collaborate across our operations to deploy advanced technologies, artificial intelligence, and to tap into rich data. The result? A powerful impact on businesses, societies, and consumers alike. Only Experian can: We are proud to share our story of how we power opportunities in a way that only Experian can. Experian leaders worldwide provide a glimpse into what sets Experian apart in the modern landscape of advanced technologies and powerful analytics. You can read the 5-minute story here. Continual Evolution: Experian's evolution from the world's leading credit bureau to a global data and analytics powerhouse is an ongoing journey. Our vision propels us forward, driving us to continually redefine our role in an ever-changing landscape. As Experian continues to evolve, our commitment to making a powerful difference remains unwavering. Our story is one of transformation, innovation, and a relentless pursuit of excellence. Join us on this journey, as we redefine what it means to be a global leader in data and analytics.

Generative A.I. is rapidly transforming every industry as we know it and introduces a whole new world of opportunity and risk. At Experian, we already have many years of experience in machine learning, neural network embedding and artificial intelligence. Because of this, we’re established as a trusted leader in the space and are uniquely positioned to champion the ethical, responsible and compliant use of generative A.I.  We manage the risk while advancing the opportunity.  This was one of the key themes emerging from a recent panel discussion for Bloomberg’s Intelligent Automation Event in London that I participated in with Thomas Duecke, COO, Digital at BT Group, Marc Palmer, CTO at T-Systems and Amy Thomson, Bloomberg’s EMEA Technology Team Leader. At Experian, we support the responsible use of generative A.I. to accelerate new product offerings, drive operational productivity, increase financial inclusion, and foster an adaptive approach to using the technology. I’m personally very passionate about this as my team is dedicated to creating innovative solutions that enable clients to better automate processes across a variety of use cases including fraud prevention, lending and process optimization. We’re always looking for new data-driven solutions that can create meaningful change for consumers around the world. That’s why our teams are focused on advancements through generative A.I. and identifying use cases across many aspects of our internal operations as well as within our customer-facing portfolio of products and services. We’re encouraged by the opportunities generative A.I. can facilitate when it comes to productivity. It can allow us to automate processes that are mundane or labor-intensive and enable employees to focus more of their time and energy on creative decision making, problem solving, and more effective collaboration. We’ll continue to leverage our expertise and knowledge in broader intelligence fields to uncover the opportunities this next chapter will provide for our business, clients and consumers. Bloomberg Intelligent Automation

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.