Vision 2023: Day 2 recap

by Stefani Wendel 4 min read May 24, 2023

Innovation and inspiration took center stage at Day 2 of Vision.

Jennifer Schulz, CEO of Experian, North America opened the day with a look ahead at some of the solutions that are powering opportunities today and tomorrow. Sitting down with Robert Boxberger, President, Decision Analytics, and Scott Brown, President, Consumer Information Services, the group discussed key priorities for business innovation and the need to challenge the status quo.

AI came up for discussion – as was no surprise – and while AI isn’t new, the newest versions are transformative. Whether it’s building a model a mile up (mid-flight), or continuously asking if solutions are “first, best or only,” innovation is part of Experian’s DNA as evidenced by two demos that took place on the main stage.

Demo: Fraud Sandbox

Fraud moves fast. A demo of the Fraud Sandbox showed the audience the importance of looking at consumer insights to pull back fraud signals. By leveraging the right fraud platform, you can turn insight into action. Working only with internal data is limiting, making it hard to detect fraud clusters and organizations open themselves up to millions of dollars in fraud; with external data it’s easier to spot multiple uses of same information in multiple applications.

Demo: Ascend Ops

Ascend Ops connects data across different parts of the business and automates the process of model deployment so you can spend less time deploying and more time testing in market.

Keynote: Alexis Ohanian

Alexis Ohanian credits his success to a series of very fortunate events. The son and grandson of immigrants, Ohanian saw hustle, self-reliance and grit in his parents that he hopes his own children have. The innovator talked about how important timing is for entrepreneurs, discussing early ideas, starting Reddit and what he looks for in backing startups via his venture capitalist firm Seven Seven Six – named after 776 BCE, the year of the first Olympics.

Ohanian also talked about the need to lean into AI – that it can make lean teams more efficient when you can automate to accomplish more, faster. It also enables humans to do work that is creative, strategic and empathetic, with a better quality of life. And to round it out, the self-proclaimed “business dad” talked about how having a bigger why – in the form of children – makes him better at his job.

Keynote: Michael Strahan

Michael Strahan shared a number of gridiron glory stories, the mental muscle it takes to get into the zone on game day, and the rolodex of injuries he had over the years – and how it taught him to look at people as individuals; an education in sociology. From his father he learned to talk about “when” rather than “if” and he’s developed a “keep going” mentality when it comes to everything he does. From clothing lines and skincare to management and production, Strahan says he’s committed to continuing to say yes and not be afraid of trying anything.

Session highlights – day 2

Identity and fraud trends

Current considerations that are top of mind for organizations include the speed of change, regulatory landscape, technology and the number of people online. Fraudsters are evolving faster than ever and are returning to the basics – think DDA fraud, check fraud and check washing. It is imperative to balance security with convenience and seamlessness as consumer expectations aren’t waning; therefore, it’s the business’ responsibility to meet and exceed customer expectations and to ultimately protect customers.

Consumer credit trends and innovation

Retailers and tech titans are pushing further into financial services. What separates them from the industry? People rave about brands more so than they do banks. The session delineated that digital transformation is not the digitization of what institutions were already doing. It requires a new way of thinking.

Consumer privacy

In 2023, 26 states have introduced comprehensive privacy legislation. It’s top of mind for consumers and top of mind for the government. Experian approaches privacy with strategies focused on security, accuracy, fairness, transparency and inclusion.

Operational efficiency

A panel of financial institutions experts discussed how they use analytics for operational efficiency. They talked about how they prioritize, the importance of the regulatory wrapper, and what differentiated their methods to reach success and make an impact.

Fraud

Organizations must consider the risks and rewards of their actions. It is critical to use analytics to stay agile and leverage owned and external data to make smart, fast and safe decisions. The action items for today’s organizations? Model, test, scale, repeat – scale your model based on your growth goals and expectations, and truly know your customer at every point of the interaction.

That’s a wrap on Vision 2023. We can’t wait to build on this momentum and see the conversations we have in store next year!

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When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. 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