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What is Alternative Data?

Published: September 18, 2018 by Stefani Wendel

Traditional credit data has long been the end-all-be-all ruling the financial services space. Like the staple black suit or that little black dress in your closet, it’s been the quintessential go-to for decades.

Sure, the financial industry has some seasonality, but traditional credit data has reigned supreme as the reliable pillar. It’s dependable. And for a long time, it’s all there was to the equation.

But as with finance, fashion and all things – evolution has occurred. Specifically, how consumers are managing their money has evolved, which calls for deeper insights that are still defensible and disputable.

Alternative credit data is the new black. It’s increasingly integrated in credit talks for lenders across the country. Much like that LBD, it’s become a lending staple – that closet (or portfolio) must-have – to leverage for better decisioning when determining creditworthiness.

What is alternative data?

In our data-driven industry, “alternative” data as a whole may best be summed up as FCRA-compliant credit data that isn’t typically included in traditional credit reports. For traditional data, think loan and inquiry data on bankcards, auto, mortgage and personal loans; typically trades with a term of 12 months or greater.

Some examples of alternative credit data include alternative financial services data, rental data, full-file public records and account aggregation. These insights can ultimately improve credit access and decisioning for millions of consumers who may otherwise be overlooked.

Alternative or not, every bit of information counts

FCRA-compliant, user permissioned data allows lenders to easily verify assets and income electronically, thereby giving lenders more confidence in their decision and allowing consumers to gain access to lower-cost financing.

From a risk management perspective, alternative credit data can also help identify riskier consumers by identifying information like the number of payday loans acquired within a year or number of first-payment defaults. Alternative credit data can give supplemental insight into a consumer’s stability, ability and willingness to repay that is not available on a traditional credit report that can help lenders avoid risk or price accordingly.

From closet finds that refresh your look to that LBD, alternative credit data gives lenders more transparency into their consumers, and gives consumers seeking credit a greater foundation to help their case for creditworthiness. It really is this season’s – and every season’s – must-have.

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The morning kicked off with the buzz of innovation. Shri Santhanam, Financial Services and Data General Managers Platforms and Software, and leaders from Experian debuted the latest enhancements for the Experian Ascend Technology PlatformTM. The demo touted faster automation, seamless data integration, security and compliance, and simplified experience. Resiliency, security and gen AI capabilities are all core components and outputs of the new platform. Keynote speakers: Steffi Graf and Andre AgassiTennis icons Steffi Graf and Andre Agassi captivated the audience with stories of their memorable matches, how they met and their foray into pickleball. From notorious rivals to the pivotal moments that were part of their weeks at seeding in the number 1 position – 377 weeks and 101 weeks respectively. Keynote speaker: Jason SudeikisEmmy-award winning actor, comedian, writer and producer – and also known as the affable Ted Lasso – Jason Sudeikis had the crowd laughing reminiscing his favorite skits from his time at Saturday Night Live and outtakes from his numerous films. He talked about the impact of Ted Lasso and the origin of the “Believe” sign, as well as what’s ahead. Sessions – Day 2 highlights The conference hall was buzzing with conversations, discussions and thought leadership. Some themes definitely rose to the top — the increasing proliferation of fraud and how to combat it without diminishing the customer experience, leveraging AI and transformative technology in decisioning and how Experian is pioneering the GenAI era in finance and technology. Alternative dataAlternative data can be used to holistically measure a consumer's creditworthiness. Property data to banking insights to consumer-permissioned data and more can be a critical part of your strategies to segment, analyze and underwrite unbanked and new-to-credit consumers. EngagementEconomic headwinds and fierce competition in the banking industry have acquisition costs soaring, making it more important than ever to be critical of your organization’s advertising spend. Meanwhile, consumers are trending back toward the convenience of banking bundles, and they expect their financial institutions to help them improve their financial health. These conditions create a unique opportunity to extract value from digital experiences. CollectionsData, advanced analytics and machine learning are transforming all aspects of collections during a time when consumer debt pressure is building. Organizations can harness the power of data-driven insights, predictive modeling, enhanced segmentation and optimized decisions to ensure they have the strongest contact data and best collections strategy to reduce delinquencies and boost recovery rates. See you next year for Vision 2025!

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