Big data can unlock the future of fraud prevention

by Guest Contributor 3 min read October 21, 2014

More than 10 years ago I spoke about a trend at the time towards an underutilization of the information being managed by companies. I referred to this trend as “data skepticism.” Companies weren’t investing the time and resources needed to harvest the most valuable asset they had – data.

Today the volume and variety of data is only increasing as is the necessity to successfully analyze any relevant information to unlock its significant value. Big data can mean big opportunities for businesses and consumers. Businesses get a deeper understanding of their customers’ attitudes and preferences to make every interaction with them more relevant, secure and profitable. Consumers receive greater value through more personalized services from retailers, banks and other businesses. Recently Experian North American CEO Craig Boundy wrote about that value stating, “Data is Good… Analytics Make it Great.”

The good we do with big data today in handling threats posed by fraudsters is the result of a risk-based approach that prevents fraud by combining data and analytics. Within Experian Decision Analytics our data decisioning capabilities unlock that value to ultimately provide better products and services for consumers.   The same expertise, accurate and broad-reaching data assets, targeted analytics, knowledge-based authentication, and predictive decisioning policies used by our clients for risk-based decisioning has been used by Experian to become a global leader in fraud and identity solutions.

The industrialization of fraud continues to grow with an estimated 10,000 fraud rings in the U.S. alone and more than 2 billion unique records exposed as a result of data breaches in 2014. Experian continues to bring together new fraud platforms to help the industry better manage fraud risk. Our 41st Parameter technology has been able to detect over 90% of all fraud attacks against our clients and reduce their operational costs to fight fraud.

Combining data and analytics assets can detect fraud, but more importantly, it can also detect the good customers so legitimate transactions are not blocked. Gartner reported that by 2020, 40% of enterprises will be storing information from security events to analyze and uncover unusual patterns. Big data uncovers remarkable insights to take action for the future of our fraud prevention efforts but also can mitigate the financial losses associated with a breach. In the end we need more data, not less, to keep up with fraudsters.

Experian is hosting Future of Fraud and Identity events in New York and San Francisco discussing current fraud trends and how to prevent cyber-attacks aimed at helping the industry. The past skepticism no longer holds true as companies are realizing that data combined with advanced analytics can give them the insight they need to prevent fraud in the future.

Learn more on how Experian is conquering the world of big data.

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The why behind Experian's acquisition of AtData What happens when a comprehensive email intelligence database joins a global leader in data, analytics and fraud prevention? The acquisition of AtData adds 25+ years of building a complete view of email as an identity signal. Financial institutions can recognize, engage and protect customers unlocking a new standard for the way their teams work and the customer experience. That's what Experian's acquisition of AtData delivers. How we got here Not all email addresses tell the same story. Some are newly created. Some exhibit bot-like patterns. Some are inconsistent with every other signal you have about that person. Imagine a real customer. You have a job. You shop online. You have a primary email from your employer, a personal Gmail you've used for 15 years, and an old Yahoo address you still use for shopping because you've been using it since college. You're an engaged customer who interacts with brands, makes purchases and pays bills on time. But each system sees a different version of you. When you apply for credit, the lender sees one email. When you shop, the retailer sees another. When you sign up for a service, you might use the third. For financial institutions: You slow down the approval process to manually verify identity or approve applicants without the full picture. For retailers: You can't tell which version of "customer" is the most engaged, so you either over-mail or under-serve. For fraud systems: Sees a new account created under one email and flags it as suspicious because it doesn't have the history. This was the original problem AtData was built to solve in 1999. Twenty-five years later, that problem didn’t go away, it became more complex. Email fragmentation and device sharing are more common, and identity theft is more sophisticated. Capabilities that now work together Experian has built sophisticated identity and fraud solutions backed by consumer data resources and decades of expertise in credit and risk. AtData brought the ability to assess whether an email address is trustworthy, reachable and consistent—at scale, in real time. Experian is now making email intelligence foundational, not optional. This matters for: Fraud prevention and risk management: Distinguishing a returning customer from a new threat. Knowing whether an email is newly created, exhibiting bot-like patterns or inconsistent with other identities is crucial. Compliance: Building audit trails that can explain identity decisions. Email data history and behavioral signals create the documentation needed to defend your decisions. Credit: Verifying identity in a world where traditional signals are shifting. Email signals provide a persistent, durable identifier that confirms who someone actually is. Marketing: Reaching the right person across email, mail and digital channels. Email intelligence reveals which addresses are actively engaged and reachable. Research shows email remains one of the highest-ROI marketing channels outperforming paid search and social advertising1. The problem every marketer faces: You end up burning budget on addresses that bounce, are unmonitored or are associated with users who never open mail. For credit marketing specifically, email enables faster, more targeted delivery of firm offers across channels, something that's increasingly important in a post-cookie world. "Email is a persistent identifier in a fragmented world. It's what connects a person's postal address, phones, devices, behaviors—the full picture of who they are. By embedding that into our infrastructure, we're not just adding another data point. We're fundamentally improving how businesses understand who their customers are."- Ashley Knight, Senior Vice President, Financial Services and Data Why now? AI is reshaping how decisions are made in every industry. Models are getting faster, more automated and more embedded in core workflows. But AI is only as effective as the data behind it. Fragmented data + fast models = faster, larger-scale misclassifications. In an era of synthetic identities, AI agents, deepfakes and AI-generated activity, the value of durable, persistent, real-world data signals has increased dramatically. Deloitte’s Center for Financial Services projects that generative AI could drive fraud losses in the U.S. up to $40 billion by 2027, a 32% growth rate since 2023. And email sits at the center of it with business email compromise already being one of the most common and costly fraud types. People change phones, move homes and swap devices, but they often hold onto their email for years. That's the signal that protects your business, and the one we've built into the core of how we help you make decisions with confidence. View the press release here

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