Data & Analytics

  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

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.

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.