Innovation

Believe it or not, my personal journey as a woman in data science started with physics. I was always very curious by nature and tried to understand what happens around me. I studied for both a master’s in physics in Spain and a Ph.D. in astrophysics in the Netherlands before making my shift from academia to industry (first in a Big Four consultancy and later in Experian). Gradually, I realized that I liked the academic side of working with data and applying the scientific method to solving problems, but I wanted to do something faster-paced that had more tangible impact. So, before finishing my Ph.D., I joined a data boot camp to further develop my skills, and after defending my thesis I transitioned to data science. Now I’m a full-fledged data scientist at Experian DataLabs. The world is at a very interesting time in terms of technology and innovation, and STEM fields are only going to continue growing. As a data scientist myself, I may be biased, but I think the future of this field is particularly interesting. I can see data being applied in such a variety of ways – from self-driving cars to early medical diagnoses and beyond. In fact, I don’t see the momentum slowing down any time soon, which means that data scientists will continue to be in high demand. I want to do something about the disproportionate amount of men to women in science, showing girls that STEM is for them, too. There’s no quick-fix solution, but I think it’s essential to start educating girls when they’re young about STEM – both at home and in school. Young girls should be encouraged to be curious, to try and fail! For me, data science isn’t about getting it right the first time; it’s about the path of discovery and innovation along the way. The sooner and the longer that girls are encouraged to explore and play with less-conventional toys, like computer games, construction toys or logic puzzles, the likelier they may be to choose careers based on what they personally enjoy doing and not what society expects them to do. Gender stereotypes can be really constraining, especially for children. So, what can a diverse workforce offer that a narrow one can’t? The answer is easy: different approaches, different views and different solutions. With more women in fields like data science, everyone benefits. No one should have to automatically rule themselves out of a career path based on gender.

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.  

Bernard Marr, who LinkedIn recently ranked as one of the top 10 business influencers in the world (just behind Bill Gates and Richard Branson), recently published a story on Forbes about how Experian is using machine learning to cut mortgage application times to just a few days. In this article, Experian’s Global CIO, Barry Libenson, discusses how Experian is well-positioned to pioneer technology in this field, due to the fact that banks, insurers and public sector bodies all routinely come to it for its data. “Now the large financial institutions don’t want you to dictate to them how they consume information, they want to tell you how they want to consume it, and you have to deliver it to them in that way. So they can say ‘hey, Experian, we have a simple question we want to ask and we expect a simple response, and we want it in real-time, and we want to be able to get it 24 hours a day from anywhere in the world.'” Check out the full article: How Experian Is Using Big Data and Machine Learning to Cut Mortgage Applicatoin Times To a Few Days

We developed CrossCore to make the industry’s fraud and identity solutions work better for everyone. We wanted to help organizations prevent more fraud while making it easier for their good customers to do business with them and nearly a year after the launch we’re proud of the reception we’ve had from clients, partners and the industry. Our latest honor is a bronze and gold medal from the American Business Awards for Identity and Access Security Solution Product of the Year and Product Management Department/Team of the Year. “We developed CrossCore to help our clients get the strength they want with the flexibility they need for more effective fraud management,” said Kathleen Peters, Global Vice President, Product Management, Fraud and Identity at Experian. “These latest Stevie Awards validate the feedback we’ve received from the market, and more importantly, from our clients.” CrossCore helps organizations with the ever-changing, complex and challenging world of fraud prevention. Businesses readily add solutions from us, other providers, and even their own solutions, to connect, access and orchestrate decisions across multiple systems. To make this possible for our clients, our teams worked around the clock in offices all around the world. They brought experiences and perspectives together to build and test code in packages that could be installed anywhere and everywhere. Using this “immutable infrastructure” approach, the team built, configured, connected, tested and monitored over 20 different systems to ensure everything was working. And they did it in less than nine months. The Stevie Award judges recognize the efforts of this team and the power of CrossCore. Here are just some of the positive comments we received: “The deployment of a global project such as CrossCore in only 9 months is remarkable, especially with 20 different systems being interconnected to deliver the service. Lots of hard work from the team, congrats!” “Seems like the strongest and the best solution in fraud prevention. Experian is already the industry leader in its respective industry, however CrossCore seems to be a great service, with a beautiful and intuitive UI.” “A good write up on what appears to be a useful platform. This is a great accomplishment and the nomination sounds like a talented team of product developers and software engineers.” “Congratulations on delivering an ambitious product in a relatively short timeframe!” We’re excited about how CrossCore could fit into your fraud strategy and would love to talk to you about it. Learn more ways CrossCore can help your business prevent fraud.

  Becoming a victim of identity theft and fraud can be a constant fear for many consumers. In fact, according to Experian’s recent Identity Theft Survey findings, 84 percent of respondents acknowledged concern about the security of their personal information online. Surprisingly, despite this overwhelming concern, our survey also found that nearly two-thirds (64 percent) of consumers also believe it’s “too much of a hassle to constantly worry about securing personal information online.” With personal vigilance declining and identity theft on the rise, developing the right consumer tools is essential. Today’s consumers demand easy-to-use, reliable identity protection products that give visibility to their personal and financial information’s possible theft and fraud exposure. In response to this growing need, we’ve launched IdentityWorks – a comprehensive identity theft protection product which helps consumers become actively engaged in defending themselves against identity fraud. For example, IdentityWorks’ dark web monitoring and alerts help consumers manage the risk of exposure in a place they can’t even see or access. Most consumers don’t really know anything about the dark web – other than it’s a bad “place.” The product also allows a user to instantly lock or unlock their Experian credit file, literally by clicking or tapping an icon via desktop or mobile device. It’s that simple. In addition to providing an array of user-friendly tools, IdentityWorks offers a set of resources to give consumers peace of mind. If suspicious activity is detected, Experian’s team of fraud resolution specialists are available to guide consumers through the process of repairing the damage done and shielding them from additional damage. Furthermore, while we work to secure your information, up to $1 million in identity theft insurance is available, just in case. * We know consumers perceive keeping track of, and protecting one’s identity as complex and inconvenient. According to our Identity Theft Survey, approximately 53 percent of individuals believe staying on top of financial transactions is a challenge. That’s why we believe IdentityWorks is exactly the right solution at the right time. It reduces the scale of that challenge into something much more manageable, with resources for both monitoring and remediating identity theft and fraud. The responsible use of credit can propel consumers’ livelihoods – helping to qualify opportunities like affordable mortgages and automotive loans – but identity theft can make it more difficult to obtain credit, making someone’s good credit history look poor. This is why IdentityWorks is so relevant to Experian. We are driven to help consumers achieve their long-term financial dreams. By enabling consumers’ active role in protecting themselves from identity theft and fraud, we help them buy a home, purchase a car or invest in their education. We hope the launch of IdentityWorks will empower consumers to manage their financial futures and remain vigilant against those who would take that away.       * Identity Theft Insurance is underwritten by insurance company subsidiaries or affiliates of American International Group, Inc. (AIG). 175 Water Street, New York, New York 10038. Please refer to the actual policies for terms, conditions, and exclusions of coverage. Coverage may not be available in all jurisdictions.  

  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.