Five Trending Financial Services Topics to Watch in 2019

by Stefani Wendel 4 min read January 14, 2019

2019 Top Trends Financial Services2019 is here — with new technology, new regulations and new opportunities on the docket. What does that mean for the financial services space? Here are the five trends you should keep your eye on and how these affect your credit universe.

 

1. Credit access is at an all-time high

With 121 million Americans categorized as credit-challenged (subprime scores and a thin or nonexistent credit file) and 45 million considered credit-invisible (no credit history), the credit access many consumers take for granted has appeared elusive to others. Until now.

The recent launch of Experian BoostTM empowers consumers to improve their credit instantly using payment history from their utility and phone bills, giving them more control over their credit scores and making them more visible to lenders and financial institutions. This means more opportunities for more people. Coupled with alternative credit data, which includes alternative financial services data, rental payments, and full-file public records, lenders and financial institutions can see a whole new universe.

In 2019, inclusion is key when it comes to universe expansion goals. Both alternative credit and consumer-permissioned data will continue to be an important part of the conversation.

 

2. Machine learning for the masses

The financial services industry has long been notorious for being founded on arguably antiquated systems and steeped in compliance and regulations. But the industry’s recent speed of disruption, including drastic changes fueled by technology and innovation, may suggest a changing of the guard.

Digital transformation is an industry hot topic, but defining what that is — and navigating legacy systems — can be challenging. Successfully integrating innovation is the convergence at the center of the Venn diagram of strategy, technology and operations. The key, according to Deloitte, is getting “a better handle on data to extract the greatest value from technology investments.”

How do you get the most value? Risk managers need big data, machine learning and artificial intelligence strategies to deliver market insights and risk evaluation. Between the difficulty of leveraging data sets and significant investment in time and money, it’s impossible for many to justify.

To combat this challenge, the availability and access to an analytical sandbox (which contains depersonalized consumer data and comparative industry intel) is crucial to better serve clients and act on opportunities in lenders’ credit universe and beyond.

“Making information analysis easily accessible also creates distinct competitive advantages,” said Vijay Mehta, Chief Innovation Officer for Experian’s Consumer Information Services, in a recent article for BAI Banking Strategies. “Identifying shifts in markets, changes in regulations or unexpected demand allows for quick course corrections. Tightening the analytic life cycle permits organizations to reach new markets and quickly respond to competitor moves.”

This year is about meaningful metrics for action, not just data visualization.

 

3. How to fit into the digital-first ecosystem

With so many things available on demand, the need for instant gratification continues to skyrocket. It’s no secret that the financial services industry needs to compete for attention across consumers’ multiple screens and hours of screen time. What’s in the queue for 2019? Personalization, digitalization and monetization.

Consumers’ top banking priorities include customized solutions, omnichannel experience improvement and enhancing the mobile channel (as in, can we “Amazonize” everything?). Financial services leaders’ priorities include some of the same things, such as enhancing the mobile channel and delivering options to customize consumer solutions (BAI Banking Strategies).

From geolocation targeting to microinteractions in the user experience journey to leveraging new strategies and consumer data to send personalized credit offers, there’s no shortage of need for consumer hyper-relevance. 33 percent of consumers who abandon business relationships do so because personalization is lacking, according to Accenture data for The Financial Brand. This expectation spans all channels, emphasizing the need for a seamless experience across all devices.

 

4. Keeping fraudsters out

Many IT professionals regard biometric authentication as the most secure authentication method currently available. We see this technology on our personal devices, and many companies have implemented it as well.

Biometric hacking is among the predicted threats for 2019, according to Experian’s Data Breach Industry Forecast, released last month. “Sensors can be manipulated and spoofed or deteriorate with too much use. … Expect hackers to take advantage of not only the flaws found in biometric authentication hardware and devices, but also the collection and storage of data,” according to the report.

 

5. Regulatory changes and continued trends 

Under the Trump Administration, the regulatory front has been relatively quiet. But according to the Wall Street Journal, as Democrats gain control of the House of Representatives, lawmakers may be setting their sights on the financial services industry — specifically on legislation in response to the credit data breach in 2017.

The Democratic Party leadership has indicated that the House Financial Services Committee will be focused on protecting consumers and investors, preserving sector stability, and encouraging responsible innovation in financial technology, according to Deloitte.

In other news, the focus on improving accuracy in data reporting, transparency for consumers in credit scoring and other automated decisions can be expected to continue. Consumer compliance, and specifically the fair and responsible treatment of consumers, will remain a top priority.

For all your needs in 2019 and beyond, Experian has you covered.

Learn more

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One Platform, Fewer Handoffs, Faster Decisions

The average credit union manages between 100-300 vendor relationships, and nearly a third have no dedicated staff managing them. What was supposed to drive efficiency is stunting growth and compromising the member experience. Application volume is continuing to rise, and consumers expect a loan decision at digital speed. But for credit unions, meeting that expectation isn't the only goal. They must also continue to make the right lending decisions while also prioritizing risk management. The institutions pulling ahead aren't the ones with the most tools. They're the ones that have turned credit, fraud and decisioning into a single, coordinated system. A single loan decision touches: Credit data Identity verification Fraud signals Decisioning logic Reporting Rarely does all of that live in one place. More often, it’s stitched together across separate platforms, each with its own contract and its own support line. 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. Connect with us With more than three decades of credit expertise and one of the industry's largest data footprints, Experian helps credit unions do more than solve this year's friction. We're helping to build a decisioning foundation that scales, so growth becomes something the system absorbs, rather than something it must be rebuilt around. Explore More

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