Margins and Paddings Update

We know millennials as the digital-savvy group that was raised on the web, likes to share things and prefers to communicate via text, but we wanted to know more. We recently looked at the borrowing behaviors of 60 million millennials to help millennials and businesses make the right decisions and get a clearer picture of the next big wave of homebuyers to hit the mortgage market. Millennials are the largest credit population in the U.S. at 61 million. They currently make up over 19% of the total U.S. population, but only 15% of millennials currently have a mortgage. In Q4 2017, 23% of mortgage-related dollars came from millennials and we’re seeing the most millennial mortgage originations in the south and west regions of the U.S. We studied more than 60 million millennials to compare the differences between millennials with a mortgage and those without. Our research showed mortgage lenders are drawn towards higher credit scores for millennials pursuing a mortgage. On average, 77% of millennials with a mortgage have a VantageScore greater than 661, with an average score of 716 for the millennial homeowner. Since people generally become more prime as they mature, it’s not surprising the millennial homeowner is slightly older. The average age of the millennial with a mortgage is 31, compared to 28 years old for millennials without a mortgage. We’re also seeing higher incomes are helping these older millennials secure a mortgage with an average income of $64,000 for millennials with a mortgage compared to $33,000 for millennials without a mortgage. With 85% of millennials without a mortgage today, it seems there is significant opportunity for mortgage lenders. But are these mortgage-less millennials ready to enter the mortgage market? On average, millennials without a mortgage have a VantageScore of 623 with eight trades on file. Only 39% of millennials without a mortgage have a prime or better score and many have higher delinquency rates. Many of these millennials will need to improve personal loan and bankcard usage habits to obtain lower rates when they’re ready to secure a mortgage. The good news for this group of millennials who may be interested in owning a home one day is small changes in financial behaviors such as building a history of on time payments and improved credit practices can help mortgage lenders shift from viewing them as high-risk to low-risk relatively quickly. Learn more about our credit outlook on millennials.

I’m delighted to confirm the launch of Experian Analytics on Demand in the UK. Following a highly successful launch in the US, it will be available to businesses across the UK and EMEA regions this Autumn. Ascend is an integral part of the suite of market-leading Experian innovations that we’re bringing to market over coming months, all of which will accelerate the ability of our UK clients to harness the full potential of big data. It helps businesses of all shapes and sizes analyse vast volumes of information faster, more effectively, and with deeper insight than ever before. Ascend puts a new suite of data tools in the hands of in-house analytical teams, allowing them to build their own predictive models to develop business strategies and make real-time decisions – ultimately supporting their abilities to bring better services to market more quickly and with better results. The digital transformation of our marketplace has meant that customers are constantly demanding a faster, more responsive service and that has put increasing pressure on businesses. Our research has found that only one in three businesses are employing advanced analytics technologies to develop a deeper, more meaningful understanding of their data. Just 29% currently combine both traditional and non-traditional data sources to gather more insight. While, two in five businesses still rely on instinct and subjective opinion to make decisions. Ascend harnesses the power of open-source technology, combining it with Machine Learning and Artificial Intelligence to help businesses unlock insights and take decisive actions in the moments that matter. Bringing unique scale, speed and intelligence that deliver the best results for both businesses and our customers. It’s not simply about changing the way you manage your data; it’s about modernising the way you manage your business. This is a very exciting time for our industry and I’m looking forward to working with both our existing partners and new clients to demonstrate the many opportunities that this new platform can bring. For an early view of the platform, please follow the link here to register your interest.  

At Experian, advanced technology drives our commitment to enhancing the customer experience. For us, it’s all about innovation and creating products and experiences that meet the demands of today’s tech-savvy consumers, businesses and diverse client base. To accommodate ever-changing market conditions, we leverage a unique mix of our own data centers and cloud platforms, as well as provide standard APIs so developers can easily connect to our systems and data. And, machine learning plays a key role in this commitment to innovation. Steven Norton, reporter for the Wall Street Journal, recently reported on how we’re operationalizing machine learning technology to manage an increasingly complex IT environment, and drive business value for customers. Experian’s use of real-time monitoring has allowed CIO Barry Libenson to show an empirical decline in downtime and critical IT issues year-over-year. With companies looking to artificial intelligence to deliver insights into their customers and the business, credit reporting firm Experian PLC is tapping machine learning to better understand how its own applications behave, with limited human intervention. Click here to read the full article published in the Wall Street Journal’s CIO Journal.