Data & Analytics
Recently, I wrote about how Experian is assisting NASWA (National Association of State Workforce Agencies) with identity verification to help mitigate the spike in fraudulent unemployment insurance claims. Because of this I was not all that surprised when I found a letter in my mailbox from the Texas Workforce Commission with a fraudulent claim using my identity, inspiring me to follow up on this topic with a focus on fraud prevention best practices. Identity theft is on the rise According to Experian data analysis and a recent study on unemployment insurance fraud, at least 25% of new claims are a result of identity theft. This is 50 times higher than what we have traditionally seen in the highest ID theft fraud use case, new credit card applications, which generally amounts to less than 0.5% of new applications. Increasing digitization of the last few years—culminating in the huge leap forward in 2020—has resulted in a massive amount of information available online. Of that information, a reported 1.03 billion records were exposed between 2016 and 2020. There are currently approximately 330 million Americans, so on average more than three records per person have been exposed, creating an environment ripe for identity theft. In fact, a complete identity consisting of name, address, date of birth, and Social Security number (SSN) can be purchased for as little as $8. This stolen data is then often leveraged by both criminal rings who are able to perpetrate fraud on a large scale and smaller scale opportunists – like the ones in Riverside, CA leveraging access to identities of prison inmates. Fraud prevention through layered identity controls In the 20 years that I have been combatting ID theft both in the private and public sectors, I’ve learned that the most effective identity proofing goes beyond traditional identity resolution, validation, and verification. To be successful, you must take advantage of all available data and incorporate it into a layered and risk-based approach that utilizes device details, user behavior, biometrics, and more. Below, I outline three key layers to design an effective process for ID proofing new unemployment insurance claims. Layer 1: Resolve and Validate Identities Traditional identity data consists of the same basic information—name, address, date of birth, telephone number, and SSN—which is now readily available to fraudsters. These have been the foundation for ID proofing in the past and are still critical to resolving the identity in question. The key is to also include additional identity elements like email address and phone number to gain a more holistic view of the applicant. Layer 2: Assess Fraud Risk Determining an identity belongs to a real-life subject is not sufficient to mitigate the risk of ID theft associated with a new unemployment insurance claim. You must go beyond identity validation to assess the risk associated with their claim. Risk assessment risk falls into two categories – identity and digital risk. Identity Risk When assessing a claim, it’s important to check the identity for: Velocity: How often have you (or other states) seen the information being presented with this application? Has the information been associated with multiple identities? Recency of change: How long has the identity been associated with the contact information (phone, email, address, etc.)? Red flags: Has the subject been a recent victim of ID theft, or are they reported as deceased? Synthetic Identity: Are there signs that the identity itself is fictitious or manipulated and does not belong to a real-life person? Digital Risk Similar to the identity risk layer above, the device itself and how the subject interacts with the device are significantly important in identifying the likelihood a new claim is fraudulent. Device risk can be assessed by utilizing geolocation and checking for inconsistent settings or high-risk browsers, while behavioral risk might check for mouse movement, typing speed, or screen pressure. Layer 3: Verify Highest Risk Subjects The final stage in this process is to require additional verification for the highest risk claims, which helps to balance the experience of your valid subjects while minimizing the impact of fraud. Additional steps might include: Document verification: Scanning a government-issued ID (driver’s license, passport, or similar), which includes assessing for document security features and biometric comparison to the applicant. One-time passcode (OTP): It is key to deploy this sparingly only to phone numbers that have been associated with the subject for a significant time frame and incorporate checks to determine if it is at high risk (e.g., recently ported or forwarded). Knowledge-based verification (KBV): Leveraging non-public information from a variety of sources. By adding additional, context-based identity elements, it becomes possible to improve the three main objectives of most agencies’ identity proofing process – get good constituents through the first time, protect the agency and citizens from fraud, and deliver a smooth and secure customer experience in online channels. While there’s no quick fix to prevent unemployment insurance fraud, a layered identity strategy can help prevent it. Finding a partner that has a single, holistic solution empowers agencies to defend against unemployment insurance fraud while minimizing friction for the end-user, and preparing for future fraud schemes. To learn more about how you can protect your constituents and your agency from unemployment insurance fraud request a call today... Contact us
In today’s digital environment, consumers have higher expectations of their interactions with businesses than ever before – and utility companies are no exception. By obtaining a deeper consumer view, you can improve your contact strategies, allocate resources more effectively, reduce costs and more accurately assess ability to pay. As part of our recently launched Q&A perspective series, Traci Veldboom, Experian Marketing Services Relationship Manager, Jason Weinstein, Experian Account Executive and Kara Marshall, Manager of Energy Efficiency Business Intelligence at Eversource, provided insight on how utility providers can leverage data attributes to enhance targeting efforts and optimize customer assistance and energy efficiency programs. Check out what they had to say: Q: What commercial data insights and services does Experian provide? JW: Experian offers firmographic data attributes to help organizations segment their target market and discover their ideal customers. This data includes contact names, job titles, number of employees, total sales volume, as well as information around the office space itself such as building square footage, office size and multi-tenant codes. Additionally, we have a wealth of business credit data, including legal liability amounts, tax lien indicators and our Commercial Intelliscore. Q: How can data be leveraged to reach customers using different communication channels? Can you gain further insight into cross-sell opportunities for regulated vs. unregulated energy customers? JW: Experian’s ConsumerViewSM database was developed to connect to most DSPs, DMPs, digital publishers, OTVs and more. We offer fully managed digital media buying services and assist with marketing to regulated energy customers by providing a ‘file’ of data and demographic insights on households within a certain service area. This file remains separate from your CRM and can be used for direct marketing purposes. TV: We have several utility clients that service regulated energy customers but also offer unregulated services that they want to promote including home repair services, tree cutting services and smart home devices. As an unregulated business, they are unable to use their regulated customer data files. They license the Experian ConsumerView file as an acquisition tool to reach and expand their customer footprint. KM: At Eversource, we use Experian’s comprehensive consumer marketing data to create targeted audience lists for direct mail and email campaigns. With a better understanding of a consumer’s behavior and ability to pay, we can better promote and optimize our customer assistance and energy efficiency programs. Additionally, we use consumer data for geographic segmentation, so we can reach more relevant audiences and increase the effectiveness of our advertising. Q: How can utility providers identify customers who are likely to sign up for renewable energy services? JW: For clients that have already identified a sample of customers utilizing renewable energy solutions, Experian’s analytics team can create a robust lookalike model to determine similar households that may be likely to sign up for the same services. Alternatively, we can utilize our GreenAwareSM segmentation system to better understand and identify consumers based on their level of green activity – and in turn – convert them into profitable customers. KM: While my primary responsibility is marketing our energy efficiency programs, I have used Experian’s consumer data to help promote our renewable efforts. The natural gas side of Eversource is currently working on a geothermal energy microgrid pilot in Massachusetts. We are leveraging data insights to identify and target a similar audience segment as that of our home weatherization and heating system programs. Additionally, we’ve partnered with our customer service team to promote a ‘Shared Clean Energy Facility’ program designed to bring the benefits of solar panels to lower-income customers. For more insight on how to increase customer acquisitions, identify consumers eligible for financial-aid programs and maximize your marketing spend, watch our Experian Symposium Series event on-demand. Watch now Learn more About Our Experts Traci Veldboom, Relationship Manager, Experian Marketing Services, North America Traci is the Relationship Manager for Experian’s Marketing Services, supporting North America. She supports Experian’s utilities client’s strategic business initiatives and assists with developing multi-channel engagement strategies. Jason Weinstein, Account Executive, Experian Marketing Services, North America Jason is an Account Executive for Experian’s Marketing Services division, supporting North America. He manages relationships with Experian’s utilities clients and helps them to optimize their processes and capabilities with unparalleled data, analytics and technology. Kara Marshall, Manager, Energy Efficiency Business Intelligence, Eversource Kara is Manager of Energy Efficiency Business Intelligence at Eversource, New England’s largest energy provider. She develops customer insights to increase participation in Eversource’s nation-leading energy efficiency programs and improve the overall customer experience.
At some point a lender may need to issue an RFI or an RFP for a credit decisioning system. In this latest installment of “working with vendors” let’s dive into some best practices for writing RFIs and RFPs that will help you more quickly and efficiently understand the capabilities of a vendor. First, have one person (or at most a very small group) review the document before it goes out to vendors. Too often these kinds of documents seem like they’re just cut and pasted together without any concern if they paint a coherent picture. If it’s worth the time to write an RFI/RFP, then it’s worth the time to get it right so that the vendor responses make sense. If your document paints an inconsistent picture, a vendor may not know what products will best serve your requirements. In turn, precious time will be wasted in discussions around what’s being proposed. Here are some things to make clear in the document: For what part of the credit life cycle does this RFI/RFP apply (prospecting, origination, account management or collections)? If the request covers more than one part of the life cycle, make clear which questions apply to which part of the life cycle. Do you need a system that processes in batch or real-time requests (or both)? For example, a credit card account management solution can process accounts in batch (for proactive line management), in real time (for reactive requests) or possibly even both. Let the vendor know what it is you’re trying to do, as there may be different systems involved in processing these requests. Do you want this system hosted at the vendor, a third party (like AWS, Azure, etc.) or installed on premises? If you have a preference, let the vendor know. If you have no preference, ask the vendor what they can support. In general, consider playing down or skip detailed pricing questions. There’s nothing wrong with asking for a price range. For credit decisioning systems, detailed pricing is difficult for the vendor since there are often high levels of unknown customization to do. A better question might be, “What things will the vendor have to know in order to accurately price the solution? What are the logical next steps to get more accurate pricing? What’s the typical range of pricing in a solution such as this and what drives that range?” Will you be acting as an aggregator? Sometimes systems are created as front ends to several lenders. For example, a client may want to create a website where a borrower can “shop” among several lenders. This is certainly doable but carries with it a whole host of legal, compliance, business and technical questions. In my opinion, I’d skip the RFI/RFP in this situation and have a robust sit down directly with the vendors. This option will likely be far more productive. Ask more open-ended questions. “How does the solution perform task X?” as opposed to, “Do you support Y?” Often, there’s more than one way to accomplish a task. Asking more open-ended questions will yield a more comprehensive answer from the vendor rather than a simple yes or no response. It also gives you the opportunity to learn about the latest decisioning techniques. Be careful that you have not copied old RFP questions that are no longer relevant. I’ve had clients ask if we support Bernoulli Boxes (a mid-80s kind of floppy disk), or whether we support OS/2, etc. I’ve even had questions about supporting a particular printer. These kinds of questions are centered on the support of the operating system and not a particular vendor’s credit decisioning software. Instead of asking yes/no technology questions, ask for a typical sample architecture. Ask what kinds of APIs are supported (REST, SOAP/XML, etc.). Ask about the solution’s capabilities to call third-party systems (both internal and external). Ask fewer, but more in-depth questions. If the solution needs screens, be clear which screens you’re talking about. Do you need screens to make rule adjustments or configuration changes? Do you need screens for manual review or some sort of case management? Do you need consumer-facing screens where borrowers can type in their application data? If you need screens, be clear on the task the screens should perform. If you have particular concerns, ask them in an open-ended way. For example, “The solution will have to exchange file-based data with a mainframe. How can your solution best satisfy this requirement?” In general, state your requirement not the technology to use. A preamble or brief executive summary is useful to get the big picture across before the vendor delves into any questions. A paragraph or two can go a long way to help the vendor better assess your requirements and provide more meaningful answers to you. This works well because it’s easier to give the big picture in a few paragraphs as opposed to sprinkled around in multiple questions. To summarize, be clear on your requirements and provide a more open-ended format for the vendor to respond. This will save both you and the vendor a lot of time. In section three, I’ll cover evaluating vendors.
DDigitalization, also known as the process of using digital technology to provide new opportunities for revenue and growth, continues to remain a top priority for many organizations in 2021. In fact, IDC predicts that by 2024, “over 50% of all IT spending will be directly for digital transformation and innovation (up from 31% in 2018).”[1] By combining data and analytics, companies can make better and more instant decisions, meet customer expectations, and automate for greater efficiency. Advances in AI and machine learning are just a few areas where companies are shifting their spend. Download our new white paper to take a deep dive into other ongoing analytics trends that seem likely to gain even greater traction in 2021. These trends will include: Increased digitalization – Data is a company’s most valuable asset. Companies will continue utilizing the information derived from data to make better data-driven decisions. AI for credit decisioning and personalized banking – Artificial intelligence will play a bigger role in the world of lending and financial services. By using AI and custom machine learning models, lending institutions will be able to create new opportunities for a wider range of consumers. Chatbots and virtual assistants – Because customers have come to expect excellent customer services, companies will increase their usage of chatbots and virtual assistants to facilitate conversations. Cloud computing – Flexible, scalable, and cost-effective. Many organizations have already seen the benefits of migrating to the cloud – and will continue their transition in the next few years. Biometrics – Physical and behavioral biometrics have been identified as the next big step for cybersecurity. By investing in these new technologies, companies can create seamless interactions with their consumers. Download Now [1] Gens, F., Whalen, M., Carnelley, P., Carvalho, L., Chen, G., Yesner, R., . . . Wester, J. (2019, October). IDC FutureScape: Worldwide IT Industry 2020 Predictions. Retrieved January 08, 2021,
Perhaps your loan origination system (LOS) doesn’t have the flexibility that you require. Perhaps the rules editor can’t segment variables in the manner that you need. Perhaps your account management system can’t leverage the right data to make decisions. Or perhaps your existing system is getting sunset. These are just some of the many reasons a company may want to investigate the marketplace for new credit decisioning software. But RFIs and RFPs aren’t the only way to find new decisioning software. After working in credit services decisioning for over 20 years — and seeing hundreds of RFPs and presenting thousands of solutions and proposed architectures — I’ve formed a few opinions about how I would go about things if I were in the customer’s seat and have broken that into a three-part series. Part 1 will cover everything up to issuing an RFI or RFP. Part 2 will discuss writing an RFP or RFI. Part 3 will cover evaluating vendors. Let’s go. If you’re looking to buy new decisioning software, your first inclination might be to issue an RFI or an RFP. However, that may not be the best idea. Here’s an issue that I frequently see. Vendors are constantly evolving their products. How a product did feature X two years ago might be completely different now. The terminology that the industry uses might have changed, and new capabilities (like machine learning) might have come about and changed whole sets of functionalities. The first decision point is to ask yourself a question, “Do I know exactly what I want or am I trying to generally learn what is out there?” An RFI or RFP isn’t always the greatest way to exchange information about a product. From a vendor’s standpoint, a feature-rich, complex system has to be reduced down to a few text answers or (worst yet) a series of yes or no answers. It all boils down to nuance. On many occasions, I’ve faced a dilemma when answering an RFP question, “This question is unclear; if the customer means X, the answer is yes; if they mean Y, the answer is no.” If I were in a room with the customer, I could ask them the question, they could provide clarification and I could then provide the accurate answer. There would be more opportunity to have a back and forth, “Oh when you said X, this is what you meant ….” All of that back and forth is lost with an RFI or RFP, or at least delayed until the (hopefully selected) vendor gets a chance to present in front of a live audience. Also, consider that vendors are eager to educate you about their product. They know exactly how the product works and they’re happy to answer your questions. It’s perfectly reasonable to go to a vendor with prewritten questions and thoughts and to pose those questions during a call or demonstration with the vendor. Nothing would prevent a customer from using the same questions for each vendor and evaluating them based on their answers. All of this can be done without issuing an RFI or RFP. In conclusion, I’d offer the following points to think about before issuing an RFI or RFP: A customer can provide questions that they want answered during a demonstration of a credit decisioning product. These same questions can be used to provide an initial assessment of several vendors. A customer’s understanding of a vendor’s capabilities is likely 10x faster and deeper with an interactive session versus reading the answers in a questionnaire. Nuanced and follow-up questions can be asked to gather a complete understanding. Alternative solutions can be explored. This exercise doesn’t have to replace an RFP but instead can better inform the customer about the questions they need answered in order to issue an RFP. Don’t be afraid to talk to a vendor, even if you’re not sure what you want in a new product. In fact, talk to several vendors. More than likely, you’ll learn a lot more via a discussion than you will via an RFI questionnaire. What’s good about an RFI or RFP is coming in with prepared questions. That way, you can judge each vendor using the same criteria but, if possible, get the answers to those questions via an interactive session with the vendors. Next: How to write an effective RFP or RFI.
The ongoing COVID-19 pandemic has facilitated an increase in information collection among consumers and organizations, creating a prosperous climate for cybercriminals. As businesses and customers adjust to the “new normal,” hackers are honing in on their targets and finding new, more sophisticated ways to access their sensitive data. As part of our recently launched Q&A perspective series, Michael Bruemmer, Experian’s Vice President of Data Breach Resolution and Consumer Protection, provided insight on emerging fraud schemes related to the COVID-19 vaccines and how increased use of digital home technologies could lead to an upsurge in identity theft and ransomware attacks. Check out what he had to say: Q: How did Experian determine the top data breach trends for 2021? MB: As part of our initiative to help organizations prevent data breaches and protect their information, we release an annual Data Breach Forecast. Prior to the launch of the report, we analyze market and consumer trends. We then come up with a list of potential predictions based off the current climate and opportunities for data breaches that may arise in the coming year. Closer to publication, we pick the top five ‘trends’ and craft our supporting rationale. Q: When it comes to data, what is the most immediate threat to organizations today? MB: Most data breaches that we service have a root cause in employee errors – and working remotely intensifies this issue. Often, it’s through negligence; clicking on a phishing link, reusing a common password for multiple accounts, not using two-factor authentication, etc. Organizations must continue to educate their employees to be more aware of the dangers of an internal breach and the steps they can take to prevent it. Q: How should an organization begin to put together a comprehensive threat and response review? MB: Organizations that excel in cybersecurity often are backed by executives that make comprehensive threats and response reviews a top corporate priority. When the rest of the organization sees higher-ups emphasizing the importance of fraud prevention, it’s easier to invest time and money in threat assessments and data breach preparedness. Q: What fraud schemes should consumers be looking out for? MB: The two top fraud schemes that consumers should be wary of are scams related to the COVID-19 vaccine rollout and home devices being held for ransom. Fraudsters have been leveraging social media to spread harmful false rumors and misinformation about the vaccines, their effectiveness and the distribution process. These mistruths can bring harm to supply chains and delay government response efforts. And while ransomware attacks aren’t new, they are getting smarter and easier with people working, going to school and hosting gatherings entirely on their connected devices. With control over home devices, doors, windows, and security systems, cybercriminals have the potential to hold an entire house hostage in exchange for money or information. For more insight on how to safeguard your organization and consumers from emerging fraud threats, watch our Experian Symposium Series event on-demand and download our 2021 Data Breach Industry Forecast. Watch now Access forecast About Our Expert: Michael Bruemmer, Experian VP of Data Breach Resolution and Consumer Protection, North America Michael manages Experian’s dedicated Data Breach Resolution and Consumer Protection group, which aims to help businesses better prepare for a data breach and mitigate associated consumer risks following breach incidents. With over 25 years in the industry, he has guided organizations of all sizes and sectors through pre-breach response planning and delivery.
When I worked as a junior analyst for one of the largest credit card issuers in the United States, the chief credit risk officer required the development of a “light switch report” and strongly encouraged everyone in her organization to read the report every day. She called it the light switch report because every morning when she walks into her office and the lights switch on, she would read the report and understand what’s going on with the business. I took her advice and developed the habit of reading the light switch report every morning — for more than a decade while I was with the organization. I knew the volume of applications, the approval rate and the average line of credit of approvals. I developed an informed idea of how delinquency rates would look six months into the future based on the average credit score of approvals today. Her advice was valuable, and the discipline she shared helped me develop my skill sets as a junior analyst, a people manager and head of a retail business line. Performance reports are foundational and are one of the key elements of a sound and prudent risk management framework. Regulators require effective monitoring reports and provide guidance on report generation as part of its examination process. (Office of the Comptroller of the Currency. Comptroller’s Handbook, Retail Lending Safety and Soundness. April 2017. Page 15.) While supporting lender clients on strategy designs and development, I have an opportunity to review various performance reports. I’d like to take this time to reiterate some of the basic components of a good performance report. Knowledge of audience is primary. Good performance reports are tailored for specific audiences who can make decisions that will affect specific outcomes. Performance reports for day-to-day monitoring would be different from reports designed for executive leadership. Transparency and accuracy are required and when reports are designed in support of areas of responsibility, those reports become meaningful and transformative. Relevant metrics matter. Once you identify the report’s audience, the metrics you choose to appear in the report become the next important exercise. Metrics should be relevant and consistent with the audience who’s expected, upon reviewing the report, to make statements such as the business is doing well and stable, or corrective action is needed. For example, a report on the predictive power of credit risk scores intended for model developers will likely contain metrics such Kolmogorov-Smirnov (KS), Gini index or worst scoring capture rate. Such reports won’t include the average handling time of an application, which will be more appropriate for an operations team. Metrics become even more powerful for decision-makers when calculated at a segment level. I’m a big fan of vintage reports. They tell the story of current lending practices (e.g., approval rates, average loan amount, average booked credit risk score), and more significantly they often foretell future performance (e.g., delinquency rates, charge-off rates). These foresights allow analysts and managers to plan and develop strategies today to manage the future state. If approve or decline decisions use a dual score matrix, generate a report showing the volume of applications on the dual score matrix. It’s quicker to spot unusual distributions compared to expectations when data is presented at this sublevel. The benefit is swifter modification or new actions when needed. If statistical designs are utilized, such as test or control segments and champion or challenger segments, metrics calculated at these levels become insightful. They allow validation of a randomized process and support statistical analysis and statements. Timeliness of reports is critical. Some reports for operational or technology purposes require constant and continuous reporting. Daily reports are important especially when new strategies are implemented. Sometimes daily reports are far more relevant within the first two or three weeks of a new strategy implementation. When daily reports show stabilization and alignment to expectations, switching to weekly or monthly reports is acceptable. Most retail products are designed for review on a cycle or monthly basis. Monthly and quarterly reports are milestones and provide good health checks of the business. Don’t forget formats. If a picture is worth a thousand words, then use charts and graphs to display data and capture audience attention. We’re all used to seeing data presented in tables, but there are far more applications today that allow us to read reports with compelling graphics, trendlines and patterns that grab our curiosity and draw us into the story. I like narratives even if they appear as headlines on a report. Succinct comments show discipline and convey understanding of a report’s contents. Effective performance reports evolve as the business changes. Audience, metrics and segments will change, but the basic components provide general guidelines on developing consistent and relevant reports.
The ongoing COVID-19 crisis and the associated rise in online transactions have made it more important than ever to keep customer information accurate and company databases up to date. By ensuring your organization’s data quality, you can allocate resources more effectively, minimize costs and safely serve your customers. As part of our recently launched Q&A perspective series, Suzanne Pomposello, Experian’s Strategic Account Director for CEM vertical markets, and William Palmer, Senior Sales Engineer, provided insight on how utility providers can manage and maintain accurate client data during system migrations and modernizations, achieve a single customer view and implement an operational data quality program. Check out what they had to say: Q: What are the best practices for effective data quality management that utility providers should follow? SP: To ensure data quality, we advise starting with a detailed understanding of the data your organization is currently maintaining and how new data entering your systems is being utilized. Conducting a baseline assessment and being able to properly validate the accuracy of your data is key to identifying areas that require cleansing and enrichment. Once you know what improvements and corrections need to be made, you can establish a strategy that will empower your organization to unlock the full potential of your data. Q: How does Experian help clients improve their data hygiene? SP: Experian has over 30 years of expertise in data cleansing, which is tapped to help clients deploy tactics and strategies to ensure an acceptable level of data integrity. First, we obtain a complete picture of each organizations objectives and challenges. We then assess the quality of their data and identify sources that require remediation. Armed with insight, we work alongside organizations to develop a phased action plan to standardize and enhance their data. Our data management solutions satisfy a wide range of needs and can be consumed in real-time, bulk and batch form. Q: Are there any protection regulations to be aware of when obtaining updated data? WP: Unlike Experian’s regulated divisions, most Experian Data Quality data elements are not burdened by complex regulations and restrictions. Our focus is on organizations’ main customer data points (e.g., address, email address and phone). We reference this data against unregulated source systems to validate, append and complete customer profiles. Experian’s data quality management tools can serve as a foundation for many regulatory, compliance and governance requirements, including, Metro 2 reporting, TCPA and CCPA. Q: Are demos of Experian’s data management solutions available? If so, where can they be accessed? WP: Yes, you can visit our website to view product functionality clips and recorded demonstrations. Additionally, we welcome the opportunity to explore our comprehensive data quality management tools via tests and live demonstrations using actual client data to gain a better understanding of how our solutions can be used to improve operational efficiency and the customer experience. For more insight on how to cleanse, standardize, and enhance your data to make sure you get the most out of your information, watch our Experian Symposium Series event on-demand. Watch now Learn more About Our Experts: Suzanne Pomposello, Strategic Account Director, Experian Data Quality, North America Suzanne manages the energy vertical for Experian’s Data Quality division, supporting North America. She brings innovative solutions to her clients by leveraging technology to deliver accurate and validated contact data that is fit for purpose. William Palmer, Senior Sales Engineer, Experian Data Quality, North America William is a Senior Sales Engineer for Experian’s Data Quality division, supporting North America. As an expert in the data quality space, he advises utility clients on strategies for immediate and long-term data hygiene practices, migrations and reporting accuracy.
With 2020 firmly behind us and multiple COVID-19 vaccines being dispersed across the globe, many of us are entering 2021 with a bit of, dare we say it, optimism. But with consumer spending and consumer confidence dipping at the end of the year, along with an inversely proportional spike in coronavirus cases, it’s apparent there’s still some uncertainty to come. This leaves businesses and consumers alike, along with fintechs and their peer financial institutions, wondering when the world’s largest economy will truly rebound. But based on the most recent numbers available from Experian, fintechs have many reasons to be bullish. In this unprecedented year, marked by a global pandemic and a number of economic and personal challenges for both businesses and consumers, Americans are maintaining healthy credit profiles and responsible spending habits. While growth expectedly slowed towards the end of the year, Q4 of 2020 saw solid job gains in the US labor market, with 883,000 jobs added through November and the US unemployment rate falling to 6.7%. Promisingly, one of the sectors hit hardest by the pandemic, the leisure and hospitality industry added back the most jobs of all sectors in October: 271,000. Additionally, US home sales hit a 14-year high fueled by record low mortgage rates. And finally, consumer sentiment rose to the highest level (81.4%) since March 2020. Not only are these promising signs of continued recovery, they illustrate there are ample market opportunities now for fintechs and other financial institutions. “It’s been encouraging to see many of our fintech partners getting back to their pre-COVID marketing levels,” said Experian Account Executive for Fintech Neil Conway. “Perhaps more promising, these fintechs are telling me that not only are response rates up but so is the credit quality of those applicants,” he said. More plainly, if your company isn’t in the market now, you’re missing out. Here are the four steps fintechs should take to reenter the lending marketing intelligently, while mitigating as much risk as possible. Re-do Your Portfolio Review Periodic portfolio reviews are standard practice for financial institutions. But the health crisis has posted unique challenges that necessitate increased focus on the health and performance of your credit portfolio. If you haven’t done so already, doing an analysis of your current lending portfolio is imperative to ensure you are minimizing risk and maximizing profitability. It’s important to understand if your portfolio is overexposed to customers in a particularly hard-hit industry, i.e. entertainment, or bars and restaurants. At the account level there may be opportunities to reevaluate customers based on a different risk appetite or credit criteria and a portfolio review will help identify which of your customers could benefit from second chance opportunities they may not have otherwise been able to receive. Retool Your Data, Analytics and Models As the pandemic has raged on, fintechs have realized many of the traditional data inputs that informed credit models and underwriting may not be giving the complete picture of a consumer. Essentially, a 720 in June 2020 may not mean the same as it does today and forbearance periods have made payment history and delinquency less predictive of future ability to pay. To stay competitive, fintechs must make sure they have access to the freshest, most predictive data. This means adding alternative data and attributes to your data-driven decisioning strategies as much as possible. Alternative data, like income and employment data, works to enhance your ability to see a consumer’s entire credit portfolio, which gives lenders the confidence to continue to lend – as well as the ability to track and monitor a consumer’s historical performance (which is a good indicator of whether or not a consumer has both the intention and ability to repay a loan). Re-Model Your Lending Criteria One of the many things the global health crisis has affirmed is the ongoing need for the freshest, most predictable data inputs. But even with the right data, analytics can still be tedious, prolonging deployment when time is of the essence. Traditional models are too slow to develop and deploy, and they underperform during sudden economic upheavals. To stay ahead in times recovery or growth, fintechs need high-quality analytics models, running on large and varied data sets that they can deploy quickly and decisively. Unlike many banks and traditional financial institutions, fintechs are positioned to nimbly take advantage of market opportunities. Once your models are performing well, they should be deployed into the market to actualize on credit-worthy current and future borrowers. Advertising/Prescreening for Intentional Acquisition As fintechs look to re-enter the market or ramp up their prescreen volumes to pre-COVID levels, it’s imperative to reach the right prospects, with the right offer, based on where and how they’re browsing. More consumers than ever are relying on their phones for browsing and mobile banking, but aligning messaging and offers across devices and platforms is still important. Here’s where data-driven advertising becomes imperative to create a more relevant experience for consumers, while protecting privacy. As 2021 rolls forward, there will be ample chance for fintechs to capitalize on new market opportunities. Through up-to-date analysis of your portfolio, ensuring you have the freshest, predictive data, adjusting your lending criteria and tweaking your approach to advertising and prescreen, you can be ready for the opportunities brought on by the economic recovery. How is your fintech gearing up to re-enter the market? Learn more
Experian Automotive Market Insights dashboard provides a variety of insights to help dealers tackle their biggest challenges.
Despite the constant narrative around “unprecedented times” and the “new normal,” if the current market volatility tells us anything, it’s to go back to basics. As financial institutions navigate COVID-19’s economic impact, and challenges that are likely to be different or more extreme than in the past, the best credit portfolio management practices are fundamental. The global pandemic impacts today’s data as existing data and analytics may not accurately reflect what is happening now, resulting in inaccurate portfolio assessment. In order to successfully navigate loss forecasting, predicting borrower behavior and controlling loss ratios, lenders must engage new data, analytics and economic scenarios suited for today’s changing times. In Experian’s latest white paper, “Credit Portfolio Management After the COVID-19 Recession,” we’ll explore best practices to combat the following challenges: Forecasting credit losses despite increased economic volatility Businesses have long used a variety of data, analytics and models to anticipate and project the future direction of their organization based on a number of data points; however, with the onset of the global pandemic, long-standing scenarios became suddenly irrelevant. Predicting borrower behavior given increased financial disparities The post-pandemic and pre-pandemic worlds are very different places for some borrowers. Pandemic-related job losses and other economic effects will not be spread evenly and this variability may be reflected in lenders’ portfolios. Controlling loss ratios In the post-COVID world, it will be mission critical for lenders to use high-quality and up-to-date data to balance priorities and identify which areas of their portfolio need attention now. Whether your portfolio is doing better than expected, as expected, or worse than expected, now is the time to refresh portfolio management strategy. Lenders should be watching for early indicators in loan portfolios to better navigate a fluctuating economy and that requires new resources and better tools. Take control of your business’ trajectory. Download now
Small SUVs became the most financed vehicle segment in Q3 2020, making up 26.01% of all financed vehicles during the quarter.
2020 is finally over – been there, done that. And while it seems safe to say most everyone is all too eager to kick off a new calendar year, the reality is we’re still reeling – and will continue to reel – through the economic impacts of the COVID-19 global pandemic. As we inch closer to the one year marker of when many businesses were sent home – across all industries, including those tech-inclined and those less so – the understatement of the year is that the world has since changed as have consumer communication preferences, how businesses and customers interact, tweaked definitions of privacy, and new (heightened) expectations of evolving a positive customer experience with minimal friction and maximum security. While last year’s predictions of entering a new set of Roaring 20’s may not have panned out the way we had initially imagined, many of the trends thought to evolve over the last 365 days did. As we all look toward a post-pandemic world, here are six top trends to keep tabs on throughout 2021. 1. Data Data as a commodity and as a business differentiating factor has reached an all-time high. It’s doing more across the entire customer lifecycle and can elevate businesses to best prep for growth, especially as consumers begin to look for more financial products (whether looking for financial assistance as the CARES Act accommodation period ends, or to take advantage of the booming mortgage industry, etc.). Data can also give more insights into consumers than ever before. Far beyond just credit scores and financial data, today’s data sets can reveal consumers’ lifestyle preferences, their preferred communication channels, their rental histories, and so much more. With alternative credit data and non-traditional data (including consumer-permissioned data), businesses can get a holistic picture of their customers’ payment behaviors. That streaming media service monthly payment may seem minimal, but now could increase your credit score through Experian Boost. Experian is still making big strides in all efforts to use data for good. As of December 31, 2020, Experian Boost has “boosted” Americans’ credit scores nearly 47 million points. Additionally, throughout 2020, Experian worked with financial institutions and credit furnishers to continue to put consumers first and serve as the consumer’s bureau. Coming up in 2021? Using data for differentiation, which can ultimately drive business growth. From instant prescreens to identifying your best customers (and offering them cross-sell and upsell opportunities to increase retention and customer loyalty) to helping customers that may be on the brink of financial distress and connecting them with management solutions to help them get back on their feet, data can help businesses – and their customers – get there. 2. Fraud and Friction (And the Reduction of Both) With the pandemic, fraud saw increases across the board. Here are just some quick stats: 200% increase in first-time online banking usage immediately following shelter-in-place orders (Aite Group, “Workplace Distancing: Adapting Fraud and AML Operations to COVID-19,” April 2020) 652% year-over-year increase in records found on the dark web (Experian CyberAgent technology) 50% increase in human farming – real people being hired for purposes of fraud – month-over-month in March 2020 (Arkose Labs) And, unsurprisingly, consumer and business sentiments toward fraud are also evolving with these increasing trends. For example, according to Experian’s North America Trends Report, half of consumers continue to site security as the most important factor of their online experience. Additionally, there’s been an increase in the percentage of businesses who have recently increased or are planning to increase fraud budget from 76% in 2019 to 89% as of Sept. 2020. More complex phishing schemes and increased fraudster activity is due in part to numerous industries having to shift to online processes and business transactions overnight. Adoption for mobile wallets has jumped 11% since July 2020, according to the 2020 Global Insights Report. Systems and technology that were not ready or not armed with the necessary infrastructure left critical access points open that could be exploited by fraudsters. Fraud exists across the customer lifecycle, at every access point. And while fraud is complex, with Experian as your partner, solving it isn’t. Innovative technology enables businesses to prevent fraud by identifying credible customers and applying the correct treatment to the riskiest consumer and business accounts. We can help you develop a layered risk management strategy so you can focus resources on growing and protecting your customer relationships. 3. A New Administration – Changing of the Guards on the Regulatory Front With the new year enters the inauguration of a new president and administration. Though there is still much to be determined, certain areas are drawing a lot of attention with this changing of the guards. The highlights? The CFPB. Priorities and leadership could change. With COVID-19 top of mind, it is likely there will be aggressive agendas put forth to help protect the millions of consumers who have suffered economic distress and harm as a result of the pandemic. Data Portability. With an increased consumer appetite to port their data, questions and concerns around data security – and how to verify for a third party asking for the data – are also on the rise. There are a number of issues facing financial institutions around data portability, one of the largest being defining the line between consumer account information and proprietary data. All things privacy – state vs. national bills. The debate continues on how to move forward (whether privacy legislation will be handled by the states or at the national level), but for now it seems there is more progress at the state level. California was the first state to push through state-level privacy legislation in the form of the California Consumer Privacy Act of 2018. Twenty-four states are considering legislation that would require consent before collecting or disclosing personal information with third parties. 4. Analytics + Digitalization – Smarter, Better, Faster COVID-19 accelerated digital transformation for many. Some companies were ready, having already started making the headway in years prior, while others struggled – and some continue to struggle. The pandemic – and its corresponding recovery – is reason now, more than ever, to get some of your digital transformation priorities checked off of your list. Your customers demand it and your business needs it. Tackling analytics and digitalization not only brings your business up to speed, but improves your decisioning, enhances your offerings, and enables better platforms and data usage. In addition to digitalization, artificial intelligence for credit decisioning and personalized banking can also be expected to be a top trend, especially AI that is ethical and explainable, as will the increasing adoption and implementation of cloud computing. As consumer experience continues to reign supreme, any and all technology to enhance and improve that experience – think chatbots and virtual assistants – will also likely increase in presence. 5. Verification & Identity Identity has been a trending topic over the last few years, brought on by increasingly digital lifestyles and the intersection of personalization, frictionless transactions and adequate security. Identity verification and verification of other information such as income, employment and the like are increasingly needed in a today’s pandemic and tomorrow’s post-pandemic world. Leveraged across the lifecycle and during critical customer interactions, the need is especially heightened for insights, data accuracy, and diversification of data sets – to name a few. And while it was already established that identity verification is not just for marketing services, there are now even greater needs for financial institutions to be able to confidently know that their customers are who they say they are. Some areas to keep your eye on in 2021? Identity, income, assets and employment. 6. Redefining the Modern Mortgage As has been a common trend, spurred by the disruption caused by COVID-19, the mortgage industry is one of the many to have a magnifying glass brought to its areas for improvement. Some of those areas include operational efficiency, digital adoption and transparency. In line with the better and faster needs that lenders are continually trying to pace with, the need for speed is hitting mortgage originations, with an ideal situation outlined as closing in 30 days or less. Creating operational efficiencies through faster, fresher data can be the key for lenders to more accurately assess a borrower’s ability to pay upfront. Additionally, now, as most mortgage lenders are breaking previous origination records by a landslide (thanks pandemic), there’s new focus on other performance indicators. With such impetus, the modern mortgage is constantly evolving, incorporating customer-centric facets including a seamless digital process, providing meaningful customer experiences and leveraging the latest and greatest technology to better future-proof the industry through scalable technology, while aiming to reduce costs. For all your needs in 2021 and beyond, Experian has you covered. Learn More
No two customers are the same. That’s why it’s important to go beyond the traditional credit score for a closer look at each consumer’s individual circumstance and create personalized response plans. Learn more about some of the many different customers you’ll encounter and download our guide to get recommendations for every stage of the lifecycle. Get the Guide
According to Experian’s Q3 2020 State of the Automotive Finance Market report, 26.20% of all new vehicles are leased compared to 30.27% last year.
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