Data & Analytics
Ways Experian is using big data and analytics to improve our world
For any company to remain competitive in today’s rapidly changing marketplace, innovation must play an integral role in its business model. Industry’s greatest innovators are successful not only because they deliver superior products in the present, but also – and perhaps more importantly – because they continuously solidify their place in the future through a culture of discovery that encourages modernization and disruption. The amount of data is expected to increase up to ten times the current amount by 2020, and Experian looks to innovation to bring answers to the problems such increases can pose. We’re finding new ways to help business across a multitude of industries integrate the latest in data technology into nearly every aspect of their operations. Data is powering everything we do. A great example of our commitment to continuous improvement through innovation is Experian’s DataLabs operation, which Greg Satell profiles in his new book Mapping Innovation: A Playbook for Navigating a Disruptive Age. At Experian, we saw opportunity to innovate and adapt, and proposed the creation of a separate division with the sole purpose of pursuing disruptive opportunities where there was no existing market to measure – we called it DataLabs. As Satell notes, Experian DataLabs was designed to work with our customers to map out their problems, identify new opportunities, build solutions around those opportunities and develop new capabilities for the company. With an increasingly competitive market, Experian is committed to being inventive and agile. Embracing and sustaining this innovation has worked. In the United States alone, DataLabs has launched eight products, and has another twelve in development. We continue to work with our customers to address new problems and remain agile so we can develop new capabilities. These insights have real world application that can help tens of thousands of Americans. As an example, small businesses - the classification of businesses that create nearly two-thirds of net new jobs in the United States - notoriously struggle to obtain loans to grow because of a perceived lack of data on their credit worthiness. Without access to credit, these businesses aren\'t able to grow further, preventing them from hiring more people. DataLabs\' latest experiment concerned whether social media sites can help businesses obtain credit. By looking at social media sites we were able to help small businesses with credit verification. DataLabs also works to help companies more efficiently use resources to target the right consumer. As an example, Experian\'s DataLabs scientists analyzed billions of credit and debit card transactions to understand how population segments spent money and then used that information to build predictive behavior profiles. With this information in hand, credit card companies were able to market credit cards to specific population segments and make rewards programs more attractive to consumers in the process. Perhaps more importantly, though, DataLabs ensures that Experian has a place in tomorrow’s economy by keeping Experian relevant in an ever-evolving marketplace. To quote Satell, “every enterprise is a unique combination of business model, strategy and culture.” Experian is the manifestation of a culture of discovery that enables us to grow and evolve while remaining at the forefront of innovation. Experian’s innovations continue to be recognized and we are proud to be included in Greg Satell’s insightful book. To read the complete profile of Experian, including more information on its formation, work to-date and plans to continue disrupting the future, check out Mapping Innovation: A Playbook for Navigating a Disruptive Age here.
\"If you’re taking an emergency call (999 in the U.K.), it’s easy to spell a name wrong. And sometimes people reporting a crime won’t give you their name at all. So, after 13 years, we’d collected thousands of duplicate or incorrect records. That might seem trivial, but linking data with the right person can be crucial to a case. You might speak to a vulnerable person and miss that they’re a repeat victim of crime. The bottom line is that, to keep people safe, we needed better data. I asked Jon (at Experian) if he could help. He certainly could. I applied for Home Office funding for the project and, after three nerve-wracking months, we actually won it. Then it was, ‘Alright, how’s this going to work?’. Experian set up a system for us called Pandora. It took our data, cleansed it using Experian data – filling in gaps, adding data streams so that, using our own matching criteria, we managed to merge thousands of records. The result was data that’s as clean and accurate as we could possibly get it. We call it our Golden Nominal database -- and the difference is phenomenal. Now, incoming calls prompt one or two records instead of hundreds, giving us a clear view of the caller. If someone’s calling about domestic violence, we’ll see whether they’re a repeat victim, and get them help fast. And frontline officers can run instant checks on a suspect from a phone, seeing how big a risk they pose and whether to call for support. We’ve got a way to go, but we’re already creating a thousand fewer records a week. And it’s all down to Experian’s work behind the scenes. It’s delivering exactly what we wanted.\"
I’m constantly amazed at how Experian gets to uncover and bring to life the data that really matters. By partnering with the National Literacy Trust to analyze different data sets, we uncovered a widespread literacy crisis in England. A while back, Experian was approached by the National Literacy Trust in England, asking us to collect information to help them better understand how far-reaching literacy problems are in England. Using data from Experian, the National Literacy Trust and the 2011 census, our data analytics team compared data sets against social factors that are closely associated with low literacy levels, such as education, income and unemployment rates. Through this in-depth analysis, we were able to create a literacy vulnerability score for every single electoral ward and parliamentary constituency in England. We found that 86 percent of all English constituencies have entrenched problems with literacy. What was most surprising was how far-reaching the problem was across the country. I guess I had assumed, as most would, that in the more affluent areas where there are good levels of education, higher incomes and higher employment rates, children would have a good relationship with books. We found, however, that it doesn’t matter what community you live in, or how affluent or deprived the area is – literacy issues can affect all of us. While the initial reaction by the public has been one of shock, I really think this study was something England needed to help the next generation avoid the same problems. Working alongside the National Literacy Trust, we’re leveraging this data to raise awareness within the government. Early in February 2017, we supported an event for Members of Parliament (MPs) to highlight how the issue may affect their constituencies, using a ranking table that shows which areas are the most affected. You could say this literacy issue is a bit of a crisis, and MPs would now agree. In my role at Experian, I frequently look at what we call “societal impact stories” that highlight how Experian is engaged in local communities. What I love about my job is getting to see how all the powerful information we have on hand is being used to lay the foundations for others to transform lives and local communities for the better. While there is still much work to be done to solve the literacy issue in England, I’m constantly amazed at how we at Experian get to uncover and bring to life the data that really matters.
I grew up in a major industrial city in Communist China just east of Beijing in a world where information was scarce. I was born into a pretty traditional Chinese family back in the 1960s and lived with my five siblings and parents in a small, crowded house. When the Cultural Revolution hit in 1966, the schools never officially shut down, but essentially nothing was taught at the time since students were expected to participate in the revolution. Throughout that period, almost all novels and movies were banned because they were not considered appropriate for educating students. But rather than causing me to lose my interest in learning, the ban led me to develop a habit for reading anything I could get my hands on, and my natural hunger for information grew. As my love for collecting and consuming information continued, I decided to become a data scientist. I moved to the U.S. to complete my Master’s degree and Doctoral Program. Today I work with “Big Data” at Experian, developing analytical solutions for financial telecommunication and insurance companies. What’s amazing to me about my job is the fact that 90 percent of the data in the world has been created in just the last two years. Data Scientists like myself retrieve, sift, analyze, process and store all the data according to a business or consumer’s needs. I believe that data tells a story; it’s business intelligence that can help an individual or business identify where they may need to change or adjust in order to move forward. For consumers, it can help them improve their credit scores and secure an affordable loan. It can help protect identities by detecting and stopping suspicious activity. For businesses, the data can mitigate risk, help prevent fraudulent transactions or even ensure they’re marketing to proper audiences. I believe that data has the power to transform lives and societies for the better. My job is to help clients and consumers understand the story of their data so they can take financial control, achieve their goals, and help meet the needs of customers. I have always told myself, “no matter the situation, do your best.” For me, doing my best is using this lifelong passion to help others succeed.
When it comes to credit for small businesses, it’s a classic chicken-and-egg situation: you can’t get credit until you have credit history, and you can’t get credit history until someone grants you credit. I know this first-hand because my own parents were small-business owners in California. My parents had built an independent insurance agency. I distinctly remember as a kid sitting in the backseat of our car and overhearing the discussions they would have about their struggles to grow the business or how they would make payroll that month. Many small businesses don’t have access to small-business loans or business credit cards, so they rely entirely on the business owner’s personal credit to make purchases. This means that while there may be a credit history for the individual, there is none for the business itself. This also means that whenever my parents needed money to get through the month, they essentially had to put their livelihood at risk because there was no separation between personal and business loans. The lack of access to funds, and the consolidation happening in the insurance industry at the time, led my parents to take another big risk – they sold the business and our house, and they liquidated their retirement accounts and put everything into a restaurant franchise. They felt there would be more stability representing an established brand owned by someone else. When I graduated from my MBA program years later, one of the things that first attracted me to Experian was the opportunity I had to ease the burdens of small business owners through my work here. The work I do really hits home, because I’m working every day to open up small-business credit, using different types of data. In today’s economy, a lot of great business ideas – profitable ones, at that – never get a chance to see the light of day simply because they don’t have the capital they need to grow. Experian is making business ideas a reality by gathering, analysing, combining and processing a breadth of new data that allows us to develop credit scores for more people and paint the most realistic picture of a situation. By verifying a business’s history, its social media accounts, its website sophistication and traffic, and customer reviews, we can measure a small business’s legitimacy, how long they’ve been operating and how they’re growing. This information, coupled with transaction data, all help determine a business’s credit worthiness and allow us to give its owners greater access to capital. Data is a huge enabler for positive change because it can give small-business owners access to credit that they wouldn’t receive otherwise. When used in the right ways, data can empower and enable small businesses to get the funding they need to hire employees, invest in their business or open a new location. In many ways, I’m helping people just like my parents.
The field of data science is still in its infancy. Every day, new advancements are helping to yield more exciting results. We’re learning how data can allow cities to provide more effective services for residents, how it can help to solve vexing health riddles, and how companies can leverage data to better serve consumers. But for advancements to be achieved, collaboration between research institutions and the private sector is essential. Even more essential is ensuring that the next generation of data scientists are equipped with the latest knowledge and resources to continue to advance the field. That’s why we are excited to announce Experian’s $750,000 gift to create the Experian Assistant Professorship in Machine Learning at Chapman University, which will be used to expand machine learning opportunities at Chapman University’s Machine Learning and Assistive Technology Lab (MLAT), where Chapman researchers use big data and technology to address challenges of social significance like autism. We believe this investment is a necessary step in an ongoing commitment to ensure our Southern California community continues to fuel economic growth by ensuring that businesses like Experian have the talent to advance field of information services. The assistant professorship will be held by Erik Linstead, Ph.D., the director of the undergraduate computing programs in computer science, software engineering, and data analytics. Dr. Linstead, one of the nation’s leading authorities on big data, is also the principal investigator MLAT. Experian has learned the value of attracting data scientists with a wide degree of interests, backgrounds, and professional experiences to help assist our clients best serve consumers. Similarly, MLAT seeks to do the same. Projects that they take on range from bioinformatics and molecular biology to machine learning and artificial intelligence. Experian’s gift will help MLAT to expand their data science-focused efforts into new fields. This gift is the latest of a long series of collaborations between Chapman and Experian. Several years ago, Experian and Chapman began a partnership that involved placing graduate students training to become data scientists in internships within Experian to provide them real-world, hands on training. Since then, the partnership has blossomed to include embedding a Chapman faculty member within Experian to better ground the academic community on how data scientists work within the private sector to better shape their curriculum. We’ve also supported scholarships and programs at Chapman to ensure that the field of data science remains inclusive, diverse, and talented. Data science will inevitably continue to have a growing impact on our lives. This gift is a commitment to the future of data science and the promise of a better tomorrow that it holds. We wish a congratulations to Dr. Linstead, and look forward to a continued stream of talent emerging from Chapman to continue to advance the field and produce better outcomes for everyone. Photo of the check presentation courtesy of Christopher Simonson. Pictured (L-R): Dean of Schmid College of Science and Technology Andrew Lyon, EVP of University Advancement Sheryl Bourgeois, President of Experian Consumer Services Guy Abramo and Principal Investigator of the MLAT Lab Erik Linstead.
There’s no arguing the importance of data to the marketing industry, but it’s equally important for marketers to leverage data in a responsible manner. On March 22, the Data & Marketing Association (DMA) held the Dynamic State of Data conference in Washington, D.C. to highlight critical public policy initiatives the industry is currently engaged in Congress and state legislatures across the country. The conference included remarks from Senator Thom Tillis (R-N.C.) and Federal Trade Commission Chairwoman Maureen Ohlhausen on their views of why data driven marketing is vital to our nation’s economic engine. Additionally, Liz Oesterle, Experian’s Senior Director for Government Affairs and Public Policy, participated in a panel discussion on the DMA’s Data Standards 2.0 initiative. The Data Standards 2.0 will tackle new high profile and emergent data issues, and update DMA’s marketing compliance standards – DMA’s Guidelines for Ethical Business Practice – focusing them to be more relevant for today’s data practices. During the panel, Oesterle outlined why industry self-regulation and the Data Standards 2.0 initiative is critical for responsible information sharing. In addition to providing business and compliance teams with certainty, Oesterle said “self-regulation helps to get in front of potential legislative and regulatory action by demonstrating to policymakers the industry is able to address any potential issues.” Stu Ingis, a Partner at Venable and DMA’s Legal Counsel, also participated in the panel. Ingis provided background on the Data Standards 2.0 initiative and discussed some of the areas in which the updates are expected to address, including cross-device tracking; data security; compliance with health and children’s data privacy; onboarding; and the Internet of Things. \"Experian believes that self-regulation, like the DMA Data Standards 2.0, strengthens consumer protections, allows for responsible innovation and creates regulatory certainty,” said Oesterle. Photo courtesy of: The Data & Marketing Association
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.
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