Innovation

  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.  

  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 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.

I lead Experian’s EMEA Procurement team, where I work with Experian’s offices around the world when they begin implementing new projects or product ideas. I was recently asked to work alongside Experian’s Consumer Business in the United Kingdom as they prepared to launch Experian’s CreditExpert companion app. They wanted to enable consumers to access their credit reports on a mobile device, while also being able to access personalized tips on how to improve credit scores. The part of this project that I found most critical, however, was the app’s built-in web monitoring tool that proactively protects consumers’ online identities from fraud. Protection of personal data is a hot topic in the big data industry. As my team and I worked through the challenges associated with protecting our customers from identity theft and fraud, we brought in experts from other Experian functions — like our security team — to assess the tools we were using and help us put proper measures and protocols in place that would enable us to protect consumers using the app. With the launch of this new app, we can catch cases of fraud the moment they occur. So, if someone steals an individual’s information to take out a loan or a mortgage in their name, we send out an alert right away to the affected individual, encouraging them to log on to the application to review their account activities. If fraud has occurred, the app takes the hassle out of the equation for consumers. Our team will investigate the incident on their behalf. I am proud to work for a company that continuously develops new products and services to help consumers better understand their credit and to keep their financial futures and identities safe. Read more #ExperianStories from our colleagues around the world.

Consumers are constantly on the go, and expect and deserve highly personalized communications. But how do marketers adapt to this new reality?

I’m an Account Executive in Experian’s Consumer Information Services department. I’m also a millennial. So I know firsthand that millennials’ way of thinking — and spending — typically goes against the grain of traditional lending, especially given today’s focus on a sharing economy. Most millennials don’t have a traditional credit history to prove we can be trusted to pay back loans or lines of credit from lenders. Using data, I’m working to change that while also helping small businesses by enabling them to do business with my generation. At Experian, we look at alternative data sets — like paying rent and utilities — that show how a millennial is actually a low-risk candidate for credit, even if his or her credit score doesn’t reflect that. Through our data, we’re providing opportunities for people who wouldn’t ordinarily have access so they can buy their first house, get a car or start that business they’ve always dreamed about. I see my role as a bridge between millennials and an older generation, connecting young consumers with the resources experienced lenders can provide. A lot of my clients are small-business lenders with strict underwriting criteria. My lenders need to improve their underwriting to win lifelong customers, but they’re understandably afraid of risk. With pinpoint accuracy, we can help them identify their best opportunities using data, including information like rent payments, they may have overlooked. In my work, I get to take a hands-on approach of adapting to an emerging market and an ever-evolving technology landscape. I’m proud to be helping to create a new generation of customers for small businesses while giving my fellow millennials the financial access they need. Read more #ExperianStories from our colleagues around the world.  

I’m a Marketing Specialist with Experian’s shared Marketing and Innovation department, which means my team and I work with different business units within Experian to strategize and build email marketing campaigns for our clients and prospects. My role in marketing is largely driven by analytics. I help my clients strategize and develop emails that get deployed to consumers who might be looking for better access to credit or information to make decisions for their business. I help my clients create a communication strategy rooted in data, then review the performance of their campaigns to analyze how they can improve their communications in the future. I can definitely tell when my work is making a difference. Often businesses make marketing decisions based on gut feelings—like randomly choosing to add a green button to an email campaign rather than a red button simply because they like that color better. Without the numbers behind that decision-making process, they’re simply relying on feelings. But when I come in using data from the campaign, I can prove that the green button drove 50 percent more click-throughs than the red one, for example. Recently I developed a training guide for marketers to help them learn more about email marketing analytics and how they can use data to transform how they communicate with their own clients and consumers. Whenever a marketer deploys emails, they want to know and understand how the campaign performed. I have often found, however, that marketers shy away from even basic metrics like click-through rates because they think the numbers are too difficult to understand, or they don’t know how to properly gather that information. The guide I built gives our clients some of the tools they need to pull the metrics and break down the numbers. Once a marketer understands the story the data is telling them, they can begin to improve on subject lines, calls to action and other email campaign components to better reach their audiences and drive revenue. In other words, they can improve their businesses and address their customers’ needs better by relying on data instead of gut feelings. Read more #ExperianStories from our colleagues around the world.

Technology is a high priority for most brands. Organizations often want to bring in the next technological prodigy to develop a successful platform or gadget.