Innovation

I’m a Senior Director of Experian’s Decision Analytics Global Consulting Practice. That means I help banks manage their credit and fraud risk to help drive profits forward. Many of my clients are banks that need help across multiple business units, including credit cards, auto loans and mortgages. What I love about my job is how it constantly challenges me to expand my imagination of what data is capable of achieving. I’m always finding new ways to use data to keep banks’ revenue flowing, save them money, improve underwriting criteria for people seeking auto loans and help banking customers get a better rate on their mortgage. For example, I was recently approached by a major bank that needed a way to collect on delinquent credit card accounts that had previously been written off. The bank needed a way to collect on these accounts that would work within their budget and strict pricing structures while providing the maximum amount of revenue. Using data, I was able to show the bank a solution that not only improved delinquency rates on their numerous credit card accounts, but also provided a significant reduction in operational expenses. Technology has enabled us to do so much more for banks like this. I began working for Experian in the 1970s, when credit reporting was a highly manual process where clients would call us and we would read their credit report back to them over the phone. I’ve held a number of positions within the company over the years and have seen it undergo tremendous growth and change. Some things, however, never change. After having worked at Experian for 46 years, I am proud to say data still powers everything we do here. Read more #ExperianStories from our colleagues around the world.

  I’m a Senior Product Strategy Manager in Experian’s Consumer Services department. I help banks connect people to the loans and credit cards they need, but my role is always changing because the world around us is changing. My team and I noticed how a whole generation is now thinking differently from other generations about the way they work and live. Rather than joining a large corporation, they make a living through a variety of platforms, like Uber, Airbnb and others — stringing together multiple jobs to make their income on their own timetable. The challenge for these people comes when they go to a bank to take out a loan, apply for a credit card or try to finance a car. The banks have difficultly gauging their risk or creditworthiness because they don’t have a traditional income source or because their credit footprint is difficult to trace. Banks refer to those types of individuals as “credit invisibles.” That’s where my team and I come in. We brainstorm ideas and create concepts for Experian to implement that will enable us to aggregate data from alternative sources — like utility bills or phone bills — to give banks a more accurate, robust view of each individual. Additionally, we create useful tools that help people manage their multiple income streams to ensure they’re able to meet their financial obligations each month. As the wealth of data in the world continues to grow, I see myself as an innovator who turns data into utility that works for people. I am constantly dreaming up new ways to connect banks with people who need a loan to feed their family, send their kids to college or buy a car for work. I want to help people take the guesswork out of taking each of life’s biggest steps. I want to empower them — through their data — to realize their dreams. Read more #ExperianStories from our colleagues around the world.  

At Experian, we unlock the power of data to create opportunities for consumers, businesses and society. Every day, we help millions of people navigate key life moments, helping them to protect, manage and make the most of their data

Alternative data opens up doors to financial access for consumers - and Experian has been at the forefront of collecting, using and advocating for the use of alternative data for many years. This topic was explored and analyzed by the Consumer Financial Protection Bureau (CFPB) in a hearing today in Charleston, West Virginia.

  I’m the Head of Utilities in Experian’s Energy and Water Sector. I handle a very specialized form of fraud called “energy theft,” where an individual or business steals electricity by tapping a line or bypassing the energy meter. Back in 2010, the process for handling this type of fraud was broken. Few companies bothered investigating instances of theft; they just accepted the pervasive issue as a cost of sale. This fraudulent activity was costing energy consumers approximately £30 per year, while putting countless homes and offices at risk, since faulty wiring for gas and electricity often leads to house fires or even explosions. Energy regulators decided the time had come for energy providers to crack down on the practice. My team and I at Experian were invited to a consultation to discuss how to use data and innovative techniques to end energy theft. The model we suggested was adopted as the preferred approach, and in the last year the project has been implemented across the entire industry in the UK. Our model combines data from the big energy companies with Experian’s own database to identify which residential or business properties may be stealing energy from the network. We can determine this by comparing energy consumption trends with information on how many people actually occupy the property. With both data sets, we can determine the amount of energy we believe the property should be consuming. If the energy consumption is lower than it should be on a particular piece of property, we look at fraud and credit data sets to see if the case qualifies as a genuine instance of low consumption (such as an older woman living alone), or if someone is perpetrating theft. We send that information back to the supplier so they can prioritize it for investigation. Through this program, I’ve helped protect countless homes and saved consumers from having to pay for energy they’re not using. I love that what I do not only gives me the opportunity to be creative in how I use data, but also helps protect businesses and everyday people. Read more #ExperianStories from our colleagues around the world.    

Today we are living in a world of data. It is everywhere, affecting many aspects of not only how our businesses are run, but our individual lives. It is growing in value and becoming more significant with each year. When used correctly, it has the potential to make positive changes. The challenge is that while data is everywhere, we don’t always trust it. While many businesses today say that data is driving new opportunities around increasing revenue and better serving their clients, the level of accuracy within their data is lacking. According to new Experian Data Quality research, less than half of organizations globally trust their data to make important business decisions. That level of doubt is causing 52% of organizations to rely on educated guesses or gut feelings to make decisions based on their data. That lack of clarity is causing businesses to not only operate with less efficiency, but 73% of c-level executives indicate that inaccurate data is undermining their ability to provide an excellent customer experience. While many are making strides to try to improve the quality of data and the trust level, they are often hindered by departmental silos and a lack of consistency across data sources. Much of that comes down to basic communication and an ability to talk about data. Departments lack understanding of how information is used across an organization or what the true impact is of poor data. In my discussions across the industry, it is clear that data lacks a consistent, meaningful language. We tend to focus on the level of pure accuracy levels, rather than the effect to the business or the customer. Data strategies need to more closely relate to defined business goals, outcomes and use cases, rather than just a data policy that sits within a vacuum. In the year ahead, we expect that many businesses will make strides within their data management programs and improve the quality of data. However, for those programs to be successful, they need to tie to broader business objectives. In those instances, developing more trusted data will certainly pay off. To learn more, check out the new global data management benchmark report.

I’m the Product Manager of Brazil’s Limpa Nome Online Recovery Portal, which was developed to help people manage and clear their debts. In Brazil, if you have debts, you are said to have a “nome sujo.” Literally translated, this means a “dirty name” — and that means good financial standing and access to credit are nearly impossible. My colleague and I met a Brazilian named Fabio who had a “nome sujo.” We sat down with him one afternoon to learn more about his situation. He told us he had built up debt with a national bank over six months. The debt was so unmanageable, he said, he was almost to the point where he could no longer pay it back. Fabio also told us how he spent at least four hours commuting to and from work each day, which limited his time outside of work. The thought of spending the limited time he had at a bank or collection agency trying to convince them to negotiate with the lender on his behalf seemed impossible. Understandingly, Fabio was enduring many sleepless nights. He tried searching on Google for help and came across Limpa Nome from Serasa Experian. He enrolled on our website, where he could view the debt he owed to the lender as well as proposals to make a settlement of dispute with the bank. Because Fabio had made a settlement proposal through Experian’s Limpa Nome website, the bank made an exception for him, allowing him to pay R$70 instead of R$1,000 each month until his debt was paid off. Within 10 minutes, Fabio’s problems were solved and his name was once again a “limpa nome” — a clear name. Our tool helped remove his financial burden and enabled him to have good credit to now be able to buy a house or a car. Using Experian’s Limpa Nome Online Recovery Portal, my team and I are using data to help give people like Fabio the tools to re-establish a good financial standing so they can pursue their dreams. Read more #ExperianStories from our colleagues around the world.

Most people who tune into the Super Bowl fall into one of three buckets – Those who watch for the love of the game Those who want to check out the halftime show entertainment And those of us, typically advertising and pop-culture geeks like myself, who tune in just for the commercials. But let’s not kid ourselves, you don’t have to be in advertising to love the commercials. After all, whether these ads make us laugh, cry or tweet, they often  have a way of weaving themselves into the Monday morning water cooler talk and even our cultural fabric. As a marketer myself who is responsible for maximizing an advertising budget, I watch these $5 million dollar, 30-second spots and have a tendency to ask myself: How effective are Super Bowl campaign ads? Given that the automotive industry is a staple within the Super Bowl advertising universe, we recently leveraged our Social Media Analysis to dig a bit deeper into a handful of auto brands (Audi, Buick, Hyundai, Jeep and Toyota), all of whom had a social media component to their Super Bowl 50 campaigns. We wanted to answer the question, “Did these TV ads actually drive social media following and engagement?” Our latest findings showed all five of these brands gained more “high influencer” and active followers on their social media channels within the month after the “Big Game.” On average, the percentage of influential followers (consumers with more than 1,000 followers) increased 14.8 percent during the month after the Super Bowl, while the average number of posts for each follower increased by 35.4 percent. Successful brand marketers create campaigns that work harmoniously together across different channels to reach their intended audience. These automotive brands were able to deliver messages across television that extended into social media channels ultimately driving the benefit of the “word-of-mouth” effect. Our data and analytics capabilities help marketers identify and connectd with audiences who will spread their messages to fans and potential customers. The result: these Super Bowl advertisers saw higher engagement and increased brand awareness. The automotive Super Bowl commerical enthusiast is … Developing a cross-channel campaign is only half the battle. Marketers still need to understand who is engaging with their brand after they’ve clicked the ‘Follow’ button. Our anlaysis revealed  consumers who interacted with these automotive campaigns were 1.3 times more likely to be male, and nearly 60 percent fell between the ages of 26 and 50. Moreover, 13.3 percent had children between the ages of 16 and 18. Not surprisingly, these consumers were more likely to follow particular brand categories than the general population. 60 times more likely to follow Auto Brands 04 times more likely to follow Auto Service Providers 56 times more likely to follow Consumer Electronics Stores This tech-saavy, car enthusiast audience was also more likely to follow these types of social media handles than the average user. 10 times more likely to follow Sports Organizations 64 times more likely to follow Sports Media Companies 52 times more likely to follow Magazine Brands  Other findings that popped in our recent analysis included: Consumers who engaged with these automotive brands on social media the month after the Super Bowl were 1.56 times more likely to reside in Michigan. More than 37 percent of these consumers had an average income between $50,000 and $99,999. The social media handles for the television shows these consumers were more likely to follow, included Top Gear, 60 Minutes and Baseball Tonight. Perhaps these programs would be great places for the auto brands to continue the conversation with current fans and potential customers. Marketers plan for the future Just as each consumer is unique, so is the trail of social media data they leave behind. Social media provides many consumers the venue to freely express their opinions and preferences. We help marketers tap into this data, and gain a remarkable view into who their customers are, the things they care about and how they behave. It’s that level of insight that enables marketers to optimize their content, plan better targeted campaigns in the future, and reach customers in a meaningful way. Much like any marketing effort, the current blue print to a successful Super Bowl campaign has been set. Create and deliver highly personalized messaging that resonates with consumers across a number of channels and encourages them to take an action, whether it’s purchase a product or share on social media. And finally, measure the results. It’s a lot easier to make that multi-million dollar advertising investment when you know the ROI is there. The brand marketers who follow the “game plan” can position themselves for their own Super Bowl win. To view the full press release, visit https://www.experianplc.com/media/news/2017/super-bowl-social-media/.

I’m an Experian Health Training Manager. I get to meet with healthcare organizations and teach them how to use our Financial Assistance Screening tool, which helps them easily and cost-effectively determine which patients qualify for financial assistance. I didn’t expect to interact directly with patients as part of my job, but I did – and the experience moved me. Recently, a client started using our automated tool, so I went to Colorado to train their financial counselors on how the product worked and help them understand the data so they could begin to use the tool with their patients. But then I was asked if I wanted to see the tool in action. Nothing could have prepared me for the experience of interacting directly with a patient who benefited from this tool –  a woman who seemed visibly shaken when the financial counselor and I first met her in one of our client’s medical centers. After the financial counselor explained why we were there, she began to work her way down a list of questions prompted by Experian’s tool, asking about the patient’s annual income, household size and disabilities. After two minutes of questioning, the counselor hit “save” on the responses, and immediately the results came up on the screen. “Good news – you qualify for a 100 percent discount through our Medical Financial Assistance program,” the counselor said. “Your medications, stay and follow-up visits will all be covered.” The patient had trouble processing this information at first. “Are you telling me that now I can focus on getting better, and I don’t have to think about my medical bills?” This realization brought her to tears of relief. Her time in the waiting room had been plagued with thoughts of how she couldn’t afford her hospital stay, despite how much she needed medical attention. With our help, those thoughts were put to rest. With Experian’s tool, patients like this woman no longer need documents to prove their annual income. And healthcare providers don’t need to manually calculate whether and how they can provide financial support. After our meeting with this patient, the financial counselor told me she was so moved she was shaking. “It is inspiring to so tangibly be able to help our patients,” she said. I agree. I’m glad that through data, I’m helping healthcare organizations give patients financial peace of mind when they need it most. Read more #ExperianStories from our colleagues around the world.