Tag: data furnishers

Here's a brief FCRA-related compliance overview to refresh your memory on various FCRA requirements when requesting and using consumer credit reports.

Credit reporting companies and data furnishers have been put in the spotlight to provide consumers with assistance that they need during COVID-19.

Experian experts provided insight on how data furnishers can help support small businesses amidst the pandemic while complying with recent regulations.

Learn how to accurately and consistently report on consumers' credit while complying with regulatory guidance during the COVID-19 pandemic.

Consumer disputes aren’t going away, but understanding the reported data and metrics behind disputes can help data furnishers minimize them and improve processes.

Most businesses are familiar with credit bureaus today, but myths still exist around reporting credit data. Let's examine the top three and bust them.

While organizations increasingly rely on data to make decisions, when it comes to data accuracy, too many wait to correct errors rather than implement proactive solutions.

Ensuring the quality of reported consumer credit data is a top priority for regulators, credit bureaus and consumers, and has increasingly become a frequent headline in press outlets when consumers find their data is not accurate. Think of any big financial milestone moment – securing a mortgage loan, auto loan, student loan, obtaining low-interest rate interest credit cards or even getting a job. These important transactions can all be derailed with an unfavorable and inaccurate credit report, causing consumers to hit social media, the press and regulatory entities to vent it out. Add in the laws and increased scrutiny from the Consumer Financial Protection Bureau (CFPB), and Federal Trade Commission (FTC) and it is clear data furnishers are seeking ways to manage their data in more effective ways. At Vision 2016, I am hosting a session, Achievements in data reporting accuracy – maximizing data quality across your organization, with several panel guests willing to share their journeys and learnings attached to the topic of data accuracy. Our diverse panel features leaders from varying industries: Jodi Cook, DriveTime Alissa Hess, USAA Bank Tom Danchik, Citi Julie Moroschan, Experian Each will speak to how they’ve overcome challenges to introduce a data quality program into their respective organizations, as well as best practices around assessing, monitoring and correcting credit reporting issues. One speaker will even touch on the challenging topic of securing funding for a data quality program, considering budgets are most often allocated to strategies, products and marketing directly tied to driving revenue. All lenders are advised to maintain a full 360-degree view of data reporting, from raw data submissions to the consumer credit profile. Better data input equals fewer inaccuracies, and an overarching data integrity program, can deliver  a comprehensive view that satisfies regulators, improves the customer experience and provides better insight for internal decision making. To learn more about implementing a data quality plan for your organization, check out Vision 2016.

Accuracy matters. It matters in dart throwing, math calculations, and now more than ever, in data reporting. The Consumer Financial Protection Bureau (CFPB) issued a bulletin on Feb. 3 warning banks and credit unions that if they fail to meet accuracy obligations when reporting negative account histories to credit reporting companies, the result could be bureau action. As noted in the Fair Credit Reporting Act (FCRA) section 623, data furnishers have an obligation to ensure the accuracy of the information furnished to a Credit Reporting Agency (CRA). Violation of these rules presents a variety of risks, and the regulatory agencies have enforced harsh consequences. Avoiding penalties is certainly a strong incentive for data furnishers to implement a formal compliance management system and data quality program. But there are additional benefits to ensuring accuracy – most notably keeping customers happy and loyal, and maintaining a reputable brand in the marketplace. Today’s consumers increasingly understand the impact of credit scoring and data reporting, and recognize a poor credit score can impact their lives in major ways. Credit is tied to so many milestone financial moments. Securing mortgage loans, auto loans, obtaining low-interest rate interest credit cards and securing private student loans can all be derailed with an unfavorable and inaccurate credit report. Not to mention credit reports can influence one’s eligibility for rental housing, setting premiums for auto and homeowners insurance in some states, or determining whether to hire an applicant for a job. To properly serve customers who simply expect a fair and accurate representation of their financial history, data furnishers must be able to guarantee the credibility of their reported data. Those organizations that cannot ensure accuracy put their reputation at risk and may lose a customer’s trust and business. “Consumers should not be sidelined out of the basic banking services they need because of the flaws and limitations in a murky system,” Cordray said in the bulletin. “People deserve to have more options for access to lower-risk deposit accounts that can better fit their needs.” The CFPB has handled more than 105,000 credit-reporting complaints in its short history, making credit reporting the third most-complained-about consumer issue. By far the most common types of credit-reporting issues identified by consumers is incorrect information on credit report (77 percent).* Certainly these mistakes are not made intentionally. But speak to a consumer battling an inaccuracy, especially someone in the midst of applying for credit for a specific need, and frustrations can soar quickly. All lenders are advised to maintain a full 360-degree view of data reporting, from raw data submissions to the consumer credit profile. Better data input equals fewer inaccuracies. Additionally, there are comprehensive reporting solutions available to assess the accuracy of consumer credit data. The regulatory environment will without a doubt continue to be a hot topic in the media, fueled by announcements such as these by the CFPB, so lenders should take note and identify processes to ensure complete and utter accuracy. It matters in so many ways, so it’s best to make data reporting a priority now, if it’s not already. Source: CFPB August 2015 Monthly Complaint Report

The financial services industry continues to face mounting pressures to meet the highest standards of data reporting and accuracy. New regulations and mandates are introduced regularly, impacting the way companies do business. And a more credit-educated consumer base is seeking insights into their own credit data, providing a separate second of eyes that demand accuracy. Not only has the Fair Credit Reporting Act (FCRA) set requirements on dispute investigation and response, but the Consumer Financial Protection Bureau (CFPB) is also paying close attention. Recent announcements indicate the CFPB wants more information about the credit eco-system to gain more data about consumer disputes. According to the CFPB, it’s a joint problem – “the NCRAA’s, data furnishers, public record providers, and consumers all play roles which affect the accuracy of the information with credit reports.” And it’s not just the big banks that are being targeted with fines. The CFPB has made it clear it will also direct attention to certain nonbanks and financial products. In today’s data-driven environment, there are roughly 12,000-plus data furnishers, resulting in more than one billion pieces of information being updated on a monthly basis. Over 220 million consumers have some form of credit information attached to them, and transactional data is flowing all the time. Fail to update and a furnisher will quickly see flaws in their reporting. In fact, a recent study revealed an estimated 2.1% of contact info goes bad if unattended for more than one month. Clearly, achieving data quality is an ongoing investment for any organization, but companies often lack a clean plan. Some data furnishers fail to report, or elect to report to just one bureau, even though providing better data will result in a more complete and accurate credit profile. So how do you tackle the challenge of data quality? Organizations should consider implementing these six steps: Review data governance. Correct errors in data submissions. Complete an audit of data submissions. Evaluate disputes and resolutions. Compare data to peers and the industry. Review existing policies and processes. Follow these steps and your organization will earn a reputation among both regulators and consumers for clean, credible data. Plus, the investment in better data will reduce the need to resolve future disputes and fines. To learn more about meeting your FCRA responsibilities and best practices around data quality, check out our on-demand webinar or data integrity services site.