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of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum
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The 2023 hurricane season is upon us. This year, over 21 named storms were predicted for this year, and we have already seen storms make landfall. One of the biggest dangers that hurricanes pose to the automobile industry is vehicle water and/or flood damage. In 2022, FEMA paid out over $1 billion for flood damage to automobiles in the United States. This damage can have a significant impact on businesses in the automobile industry, including: New car dealerships: Flood damage can destroy new cars and trucks, forcing dealerships to replace them. This can be a costly proposition, especially in a time when supply chains are already disrupted. Used car dealerships: Flood damage can also damage used cars, making them less valuable or even unsalable. This can lead to lost revenue for used car dealerships. Auto repair shops: Auto repair shops may be called upon to repair flood-damaged vehicles. However, some flood-damaged vehicles may be beyond repair. This can lead to lost revenue for auto repair shops. Auto parts suppliers: Auto parts suppliers may also be impacted by flood damage. If factories that produce auto parts are flooded, it can disrupt the supply of auto parts to dealerships and repair shops. In addition, it is important to note that flooded cars may still be on the road. And these vehicles may not be in operation in the geography where the reported water and/or flood damage occurred. To help you stay up to date on the latest insights into flood damaged vehicles we’ve put together a complimentary Vehicle Insights: Water and Flood Reported Events Infographic. You’ll learn: • What percentage of owners repurchase a different vehicle after water or flood damage for their current vehicle • Where was the damage originally reported? • Where are vehicles with water or flood damage currently located? Download the Vehicle Insights: Water and Flood Reported Events Infographic Now! Here is another resource you may find useful to help mitigate the risk of purchasing flood damaged vehicles. Check out our Free AutoCheck Flood Risk Check.
Data-driven machine learning model development is a critical strategy for financial institutions to stay ahead of their competition, and according to IDC, remains a strategic priority for technology buyers. Improved operational efficiency, increased innovation, enhanced customer experiences and employee productivity are among the primary business objectives for organizations that choose to invest in artificial intelligence (AI) and machine learning (ML), according to IDC’s 2022 CEO survey. While models have been around for some time, the volume of models and scale at which they are utilized has proliferated in recent years. Models are also now appearing in more regulated aspects of the business, which demand increased scrutiny and transparency. Implementing an effective model development process is key to achieving business goals and complying with regulatory requirements. While ModelOps, the governance and life cycle management of a wide range of operationalized AI models, is becoming more popular, most organizations are still at relatively low levels of maturity. It's important for key stakeholders to implement best practices and accelerate the model development and deployment lifecycle. Read the IDC Spotlight Challenges impeding machine learning model development Model development involves many processes, from wrangling data, analysis, to building a model that is ready for deployment, that all need to be executed in a timely manner to ensure proper outcomes. However, it is challenging to manage all these processes in today’s complex environment. Modeling challenges include: Infrastructure: Necessary factors like storage and compute resources incur significant costs, which can keep organizations from evolving their machine learning capabilities. Organizational: Implementing machine learning applications requires talent, like data scientists and data and machine learning engineers. Operational: Piece meal approaches to ML tools and technologies can be cumbersome, especially on top of data being housed in different places across an organization, which can make pulling everything together challenging. Opportunities for improvement are many While there are many places where individuals can focus on improving model development and deployment, there are a few key places where we see individuals experiencing some of the most time-consuming hang-ups. Data wrangling and preparation Respondents to IDC's 2022 AI StrategiesView Survey indicated that they spend nearly 22% of their time collecting and preparing data. Pinpointing the right data for the right purpose can be a big challenge. It is important for organizations to understand the entire data universe and effectively link external data sources with their own primary first party data. This way, stakeholders can have enough data that they trust to effectively train and build models. Model building While many tools have been developed in recent years to accelerate the actual building of models, the volume of models that often need to be built can be difficult given the many conflicting priorities for data teams within given institutions. Where possible, it is important for organizations to use templates or sophisticated platforms to ease the time to build a model and be able to repurpose elements that may already be working for other models within the business. Improving Model Velocity Experian’s Ascend ML BuilderTM is an on-demand advanced model development environment optimized to support a specific project. Features include a dedicated environment, innovative compute optimization, pre-built code called ‘Accelerators’ that simply, guide, and speed data wrangling, common analyses and advanced modeling methods with the ability to add integrated deployment. To learn more about Experian’s Ascend ML Builder, click here. To read the full Technology Spotlight, download “Accelerating Model Velocity with a Flexible Machine Learning Model Development Environment for Financial Institutions” here. Download spotlight *This article includes content created by an AI language model and is intended to provide general information.
Signing new residents is not just about offering the right apartment home at the right price. Granted, that's obviously a huge part of the equation, but operators also need to provide prospective residents with a seamless shopping and leasing experience. If potential renters encounter any friction or hardships during this time, they are likely to take their home search elsewhere. Today's prospective renters want to be able to tour and gather information about apartments on their own time, and they want a quick "yes" or "no" after completing their lease application. With that in mind, automated income and employment verification – among other tools and solutions like self-guided and virtual tools, chatbots, and automated form fills, is one of the main features and technologies operators should consider implementing if they haven't already done so, to ensure we are meeting the renter where they are. Automated verification of identity, income, assets and employment For leasing managers, automated technology eliminates the need to manually collect the documents required to verify a prospect's self-reported information, which can be a tremendously time-consuming task that extends the overall leasing timeline and increases the exposure due to unoccupied units. Automated verification also reduces the opportunity for bad-faith applicants to submit fraudulent documents related to their financials or employment history. The best part about verification is the variety of options available; leasing managers can pick and choose verification options which meet their needs without breaking the tenant screening budget. Experian has multiple verification solutions and use cases to compare which one may work best for your community. The Experian difference To learn more about our suite of rental property solutions and ways we support the tenant screening process with data-driven insights, and verifications, please visit us at www.experian.com/rental. This article was originally published on MFI. Read more on MFI for a detailed look at additional tools and technologies operators should consider.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Phasellus at nisl nunc. Sed et nunc a erat vestibulum faucibus. Sed fermentum placerat mi aliquet vulputate. In hac habitasse platea dictumst. Maecenas ante dolor, venenatis vitae neque pulvinar, gravida gravida quam. Phasellus tempor rhoncus ante, ac viverra justo scelerisque at. Sed sollicitudin elit vitae est lobortis luctus. Mauris vel ex at metus cursus vestibulum lobortis cursus quam. Donec egestas cursus ex quis molestie. Mauris vel porttitor sapien. Curabitur tempor velit nulla, in tempor enim lacinia vitae. Sed cursus nunc nec auctor aliquam. Morbi fermentum, nisl nec pulvinar dapibus, lectus justo commodo lectus, eu interdum dolor metus et risus. Vivamus bibendum dolor tellus, ut efficitur nibh porttitor nec. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Maecenas facilisis pellentesque urna, et porta risus ornare id. Morbi augue sem, finibus quis turpis vitae, lobortis malesuada erat. Nullam vehicula rutrum urna et rutrum. Mauris convallis ac quam eget ornare. Nunc pellentesque risus dapibus nibh auctor tempor. Nulla neque tortor, feugiat in aliquet eget, tempus eget justo. Praesent vehicula aliquet tellus, ac bibendum tortor ullamcorper sit amet. Pellentesque tempus lacus eget aliquet euismod. Nam quis sapien metus. Nam eu interdum orci. Sed consequat, lectus quis interdum placerat, purus leo venenatis mi, ut ullamcorper dui lorem sit amet nunc. Donec semper suscipit quam eu blandit. Sed quis maximus metus. Nullam efficitur efficitur viverra. Curabitur egestas eu arcu in cursus. H1 asdf asdf H2 H3 H4 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum dapibus ullamcorper ex, sed congue massa. Duis at fringilla nisi. Aenean eu nibh vitae quam auctor ultrices. Donec consequat mattis viverra. Morbi sed egestas ante. Vivamus ornare nulla sapien. Integer mollis semper egestas. Cras vehicula erat eu ligula commodo vestibulum. Fusce at pulvinar urna, ut iaculis eros. Pellentesque volutpat leo non dui aliquet, sagittis auctor tellus accumsan. Curabitur nibh mauris, placerat sed pulvinar in, ullamcorper non nunc. Praesent id imperdiet lorem. H5 Curabitur id purus est. Fusce porttitor tortor ut ante volutpat egestas. Quisque imperdiet lobortis justo, ac vulputate eros imperdiet ut. Phasellus erat urna, pulvinar id turpis sit amet, aliquet dictum metus. Fusce et dapibus ipsum, at lacinia purus. Vestibulum euismod lectus quis ex porta, eget elementum elit fermentum. Sed semper convallis urna, at ultrices nibh euismod eu. Cras ultrices sem quis arcu fermentum viverra. Nullam hendrerit venenatis orci, id dictum leo elementum et. Sed mattis facilisis lectus ac laoreet. Nam a turpis mattis, egestas augue eu, faucibus ex. Integer pulvinar ut risus id auctor. Sed in mauris convallis, interdum mi non, sodales lorem. Praesent dignissim libero ligula, eu mattis nibh convallis a. Nunc pulvinar venenatis leo, ac rhoncus eros euismod sed. Quisque vulputate faucibus elit, vitae varius arcu congue et. Ut maximus felis quis diam accumsan suscipit. Etiam tellus erat, ultrices vitae molestie ut, bibendum id ipsum. Aenean eu dolor posuere, tincidunt libero vel, mattis mauris. Aliquam erat volutpat. Sed sit amet placerat nulla. Mauris diam leo, iaculis eget turpis a, condimentum laoreet ligula. Nunc in odio imperdiet, tincidunt velit in, lacinia urna. Aenean ultricies urna tempor, condimentum sem eget, aliquet sapien. Ut convallis cursus dictum. In hac habitasse platea dictumst. Ut eleifend eget erat vitae tempor. Nam tempus pulvinar dui, ac auctor augue pharetra nec. Sed magna augue, interdum a gravida ac, lacinia quis erat. Pellentesque fermentum in enim at tempor. Proin suscipit, odio ut lobortis semper, est dolor maximus elit, ac fringilla lorem ex eu mauris. Phasellus vitae elit et dui fermentum ornare. Vestibulum non odio nec nulla accumsan feugiat nec eu nibh. Cras tincidunt sem sed lacinia mollis. Vivamus augue justo, placerat vel euismod vitae, feugiat at sapien. Maecenas sed blandit dolor. Maecenas vel mauris arcu. Morbi id ligula congue, feugiat nisl nec, vulputate purus. Nunc nec aliquet tortor. Maecenas interdum lectus a hendrerit tristique. Ut sit amet feugiat velit. Test Yes asedtsdfd asdf asdf adsf Related Posts
With the National Automobile Dealers Association (NADA) Show set to kickoff later this week, it seemed fitting to explore how the shifting dynamics of the used vehicle market might impact dealers and buyers over the coming year. Shedding light on some of the registration and finance trends, as well as purchasing behaviors, can help dealers and manufacturers stay ahead of the curve. And just like that, the Special Report: Automotive Consumer Trends Report was born. As I was sifting through the data, one of the trends that stood out to me was the neck-and-neck race between Millennials and Gen X for supremacy in the used vehicle market. Five years ago, in 2019, Millennials were responsible for 33.3% of used retail registrations, followed by Gen X (29.5%) and Baby Boomers (26.8%). Since then, Baby Boomers have gradually fallen off, and Gen X continues to close the already minuscule gap. Through October 2024, Millennials accounted for 31.6%, while Gen X accounted for 30.4%. But trends can turn on a dime if the last year offers any indication. Over the last rolling 12 months (October 2023-October 2024), Gen X (31.4%) accounted for the majority of used vehicle registrations compared to Millennials (30.9%). Of course, the data is still close, and what 2025 holds is anyone’s guess, but understanding even the smallest changes in market share and consumer purchasing behaviors can help dealers and manufacturers adapt and navigate the road ahead. Although there are similarities between Millennials and Gen X, there are drastic differences, including motivations and preferences. Dealers and manufacturers should engage them on a generational level. What are they buying? Some of the data might not come as a surprise but it’s a good reminder that consumers are in different phases of life, meaning priorities change. Over the last rolling 12 months, Millennials over-indexed on used vans, accounting for more than one-third of registrations. Meanwhile, Gen X over-indexed on used trucks, making up nearly one-third of registrations, and Gen Z over-indexed on cars (accounting for 17.1% of used car registrations compared to 14.6% of overall used vehicle registrations). This isn’t surprising. Many Millennials have young families and may need extra space and functionality, while Gen Xers might prefer the versatility of the pickup truck—the ability to use it for work and personal use. On the other hand, Gen Zers are still early in their careers and gravitate towards the affordability and efficiency of smaller cars. Interestingly, although used electric vehicles only make up a small portion of used retail registrations (less than 1%), Millennials made up nearly 40% over the last rolling 12 months, followed by Gen X (32.2%) and Baby Boomers (15.8%). The market at a bird’s eye view Pulling back a bit on the used vehicle landscape, over the last rolling 12 months, CUVs/SUVs (38.9%) and cars (36.6%) accounted for the majority of used retail registrations. And nearly nine-in-ten used registrations were non-luxury vehicles. What’s more, ICE vehicles made up 88.5% of used retail registrations over the same period, while alternative-fuel vehicles (not including BEVs) made up 10.7% and electric vehicles made up 0.8%. At the finance level, we’re seeing the market shift ever so slightly. Since the beginning of the pandemic, one of the constant narratives in the industry has been the rising cost of owning a vehicle, both new and used. And while the average loan amount for a used non-luxury vehicle has gone up over the past five years, we’re seeing a gradual decline since 2022. In 2019, the average loan amount was $22,636 and spiked $29,983 in 2022. In 2024, the average loan amount reached $28,895. Much of the decline in average loan amounts can be attributed to the resurgence of new vehicle inventory, which has resulted in lower used values. With new leasing climbing over the past several quarters, we may see more late-model used inventory hit the market in the next few years, which will most certainly impact used financing. The used market moving forward Relying on historical data and trends can help dealers and manufacturers prepare and navigate the road ahead. Used vehicles will always fit the need for shoppers looking for their next vehicle; understanding some market trends will help ensure dealers and manufacturers can be at the forefront of helping those shoppers. For more information on the Special Report: Automotive Consumer Trends Report, visit Experian booth #627 at the NADA Show in New Orleans, January 23-26.
The automotive industry is constantly changing. Shifting consumer demands and preferences, as well as dynamic economic factors, make the need for data-driven insights more important than ever. As we head into the National Automobile Dealers Association (NADA) Show this week, we wanted to explore some of the trends in the used vehicle market in our Special Report: State of the Automotive Finance Market Report. Packed with valuable insights and the latest trends, we’ll take a deep dive into the multi-faceted used vehicle market and better understand how consumers are financing used vehicles. 9+ model years grow Although late-model vehicles tend to represent much of the used vehicle finance market, we were surprised by the gradual growth of 9+ model year (MY) vehicles. In 2019, 9+MY vehicles accounted for 26.6% of the used vehicle sales. Since then, we’ve seen year-over-year growth, culminating with 9+MY vehicles making up a little more than 30% of used vehicle sales in 2024. Perhaps more interesting though, is who is financing these vehicles. Five years ago, prime and super prime borrowers represented 42.5% of 9+MY vehicles, however, in 2024, those consumers accounted for nearly 54% of 9+MY originations. Among the more popular 9+MY segments, CUVs and SUVs comprised 36.9% of sales in 2024, up from 35.2% in 2023, while cars went from 44.3% to 42.9% year-over-year and pickup trucks decreased from 15.9% to 15.6%. 2024 highlights by used vehicle age group To get a better sense of the overall used market, the segments were broken down into three age groups—9+MY, 4-8MY, and current +3MY—and to no surprise, the finance attributes vary widely. While we’ve seen the return of new vehicle inventory drive used vehicle values lower, it could be a sign that consumers are continuing to seek out affordable options that fit their lifestyle. In fact, the average loan amount for a 9+MY vehicle was $19,376 in 2024, compared to $24,198 for a vehicle between 4-8 years old and $32,381 for +3MY vehicle. Plus, more than 55% of 9+MY vehicles have monthly payments under $400. That’s not an insignificant number for people shopping with the monthly payment in mind. In 2024, the average monthly payment for a used vehicle that falls under current+3MY was $608. Meanwhile, 4-8MY vehicles came in at an average monthly payment of $498, and 9+MY vehicles had a $431 monthly payment. Taking a deeper dive into average loan amounts based on specific vehicle types—as of 2024, current +3MY cars came in at $28,721, followed by CUVs/SUVs ($31,589) and pickup trucks ($40,618). As for 4-8MY vehicles, cars came in with a loan amount of $22,013, CUVs/SUVs were at $23,133, and pickup trucks at $31,114. Used 9+MY cars had a loan amount of $19,506, CUVs/SUVs came in at $17,350, and pickup trucks at $22,369. With interest rates remaining top of mind for most consumers as we’ve seen them increase in recent years, understanding the growth from 2019-2024 can give a holistic picture of how the market has shifted over time. For instance, the average interest rate for a used current+3MY vehicle was 8.0% in 2019 and grew to 10.2% in 2024, the average rate for a 4-8MY vehicle went from 10.3% to 12.9%, and the average rate for a 9+MY vehicle increased from 11.4% to 13.8% in the same time frame. Looking ahead to the used vehicle market It’s important for automotive professionals to understand and leverage the data of the used market as it can provide valuable insights into trending consumer behavior and pricing patterns. While we don’t exactly know where the market will stand in a few years—adapting strategies based on historical data and anticipating shifts can help professionals better prepare for both challenges and opportunities in the future. As used vehicles remain a staple piece of the automotive industry, making informed decisions and optimizing inventory management will ensure agility as the market continues to shift. For more information, visit us at the Experian booth (#627) during the NADA Show in New Orleans from January 23-26.
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typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.