Data & Analytics

I’m the head of Serasa Experian’s DataLab, where my colleagues and I focus on using data and artificial intelligence to solve complex challenges for our customers. Our team of data scientists and applied research practitioners use data analytics to create new products and services that address world needs. One successful product is RWA, a platform that analyzes the dynamics of cities to help businesses make informed decisions on their next site location. Occasionally, however, we also discover innovative ways data can solve our own obstacles at Experian. Last year, several departments within Experian were facing similar challenges. We realized the problem could be solved if each group got together to share their perspectives, brainstorm and then collaborate on a common solution. At the end of that project, our teams decided to find more ways to encourage cross-team collaboration within the DataLab network more often. That’s when we decided to launch our first hackathon. Hackathons are events where a large number of people are challenged to participate in collaborative computer programming projects. Various challenges are proposed and the goal is to optimize, reinvent or replace current solutions, providing the participants with the freedom to select their project and team. For our inaugural hackathon, we challenged 80 programmers, designers and project managers to work together for more than 24 hours to create efficient authentication and retention processes to benefit customers. In our second hackathon, we asked participants to create a new Serasa Experian app that would improve relationships with consumers, along with new products that would utilize Experian’s database. The winning app solution ended up using positive registration data to improve personal credit scores for consumers. This app is now in the process of implementation. For our most recent hackathon, held in 2017, we challenged 200 employees and external participants to develop solutions. One of the challenges was to develop solutions to improve the lives of visually disabled individuals. We invited three people with visual disabilities to share their experiences, giving the teams a personal perspective for how a new product could improve their daily lives. For more than 40 hours, the teams worked tirelessly – utilizing data analysis, product design and business planning – to develop their innovative ideas. Although we have only hosted three so far, I hope to continue bringing the culture of the hackathons into our day-to-day activities at Serasa Experian. By collaborating more with coworkers in the past couple of years, I have been inspired by their ability to approach problems in unique ways. I am proud to foster such a collaborative environment and excited to see my coworkers prove a fundamental belief at Experian - hard work can also be fun when you work hard and play hard.

“I’ve been working with Turkcell for about six years now. I was on my way to have lunch with my main contact there, Elif, and I bumped into so many familiar faces. We agreed that you don’t often get that kind of long, trusted relationship in business. About two years ago, Elif explained to me that Turkcell needed help keeping customer communications fresh and relevant. Turkcell had a fixed weekly marketing plan, but a week is a long time in marketing. Customers were interacting with them all the time, across lots of different channels. These different types of customer communication cancelled out Turkcell’s planned weekly messages. They had to cancel more than half of their planned contacts. The marketing team were really frustrated – this was a complex challenge to fix. We wanted to create a marketing tool that meant Turkcell could speak to their customers every day instead of once a week. And so the right messages got to the right people at the right time. The team we got together on this project were based all over the world: Turkcell and an Experian team in Turkey, me and my team in Nottingham, our software development team in Bulgaria, our product development over in Washington, and Vusal in Monaco who helped us completely automate the process. Vusal’s fluent Turkish certainly came in useful. I flew over to Turkey a few times during the project. Being onsite made a big difference – it meant we could understand and fix issues in hours, rather than days. There’s one particular time that stands out. It was five weeks before the launch, so we had loads to get through. We worked non-stop for two weeks straight, right through the weekends, making sure nothing would stop us getting the daily marketing tool up and running. We’d each bring in different food and fruits for our ‘table picnic’ to keep us going. There was a lot of attention focussed on this project. When it finally went live, we had a ‘phew’ and a ‘wow’ moment. And then we saw the difference it made. It’s done exactly what we wanted it to do and Turkcell’s take-up rates have improved. And now we’ve won a Global Telecoms Business Innovation award for it. It’s a joint award, for both Turkcell and Experian – which feels right. It was hard work, but worth it.”

For the fourth consecutive year, Experian has been named to Forbes Magazine’s Top 100 list of the “World’s Most Innovative Companies.” At Experian, we are proud to foster a global culture of continuous innovation, from finding breakthroughs around better utilizing data to identifying ways we can make access to credit faster and simpler for millions around the world. The recognition as a top innovative company is a testament to our employees’ focus on putting the consumer and our customers at the center of what we do, and powering innovative opportunities to secure better, more productive futures for people and organizations. This past year has been a year of significant milestones, including our partnership with Finicity, the introduction of our Text for Credit product, and our drive to create a more open and adaptive technology environment by implementing API capabilities across the Experian network. In March, we were among the first companies to digitize the mortgage underwriting process. We partnered with Finicity to join our new Digital Verification Solution with their data aggregation and insight platform, creating technology that easily verifies consumer assets and income. This new service enables us improve data accuracy and reduce fraud risk for lenders, and removes the hassle and piles of paperwork for consumers, accelerating the loan underwriting process to as little as 10 days. In July, we introduced the first-ever credit solution that enables consumers to apply for credit with a simple text message. Utilizing patent-pending mobile identification through our Smart Lookup process, consumers can be recognized by their device credentials, bypassing the need to fill out a lengthy credit application. Our Text for Credit product enables consumers to apply for real-time access to credit while standing in line to make their purchases, or before entering an auto dealership. We’ve also implemented application programming interfaces (APIs) across the Experian network. This works to improve the transfer of data, speed up the pace of innovation and foster a more collaborative environment, enabling us to create a more efficient and targeted platform for our customers. Additionally, understanding that healthcare is becoming the “new retail” environment, Experian launched price transparency and patient estimate tools that provide health systems with real-time eligibility and insurance coverage to help patients avoid the sticker shock associated with unforeseen medical expenses. An 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. As author Greg Satell outlined in his new book, Mapping Innovation: A Playbook for Navigating a Disruptive Age, the work we do in our DataLabs – and throughout Experian – shows our commitment to being inventive and agile in an increasingly competitive market. Experian embraces a culture of discovery that enables us to grow and evolve while remaining at the forefront of innovation.  Of course, the key is to never stop questioning, evolving and innovating.  And we won’t.

A core theme of the European Union’s General Data Protection Regulation (EU GDPR), which is to keep consumer interests front of mind at all times, mirrors sound fundamental advice for all companies. Customer centric business practices are especially essential in the data-driven age, driving innovation and opportunity. The transparent, secure and effective use of data has transformative potential for consumers and businesses. But consumers must feel comfortable and in control of its opportunities, and there is a clear role for our industry to play in addressing their understandable concerns around privacy and security. In particular, there is a need for more openness about how data is collected and used for the benefit of consumers. In business, we are all aware of the advantages that data-driven technology can bring. Yet the way data is harnessed for good hasn’t, to date, been central part of the prevailing ‘data narrative’. At Experian, we process over 1,151 billion records a year, with a global segmentation of more than 2.3 billion consumers in more than 30 countries, and demographic data on over 700 million individuals and 270 million households combined. It’s a responsibility we take very seriously. We have always aspired to set new benchmarks for best practice in our operating standards and our approach to data stewardship. As a trusted data custodian for millions of consumers, we aim to unlock the power of data to create opportunities for individuals, businesses and society. The world is becoming more connected every day, and if businesses are serious about keeping up with the change, a truly holistic approach to managing all this data is required. One which protects our customers and our products from risks, such as an ever-increasing array of cyber threats, while ensuring the customer journey is as relevant and fluid as it needs to be. To help businesses to start thinking about how they can survive and thrive in the new regulatory environment, we’ve created a new whitepaper, ‘Defining the Data Powered Future’. It sets out some key steps that business should consider working through, our three ‘I’s – “Investigate”, “Improve” and “Integrate”. Businesses need to start to thinking about their implementation requirements now, if they haven’t already. And we hope this paper will offer some food for thought. It’s not good enough to feel ‘fairly confident’ that the data held is being used in the interests of the customer. It’s a requirement that new levels of scrutiny are applied here, and the customer’s perspective is the be-all and end-all guide to whether you are getting it right. With the advent of GDPR, this type of joined-up thinking will need to become the new normal, as the “datafication” of our world continues. I would encourage businesses of all shapes and sizes to take the opportunity that this moment brings. Now is the time to create a truly consumer-centric approach to data governance and strategy, and to secure your customer’s place at the heart of your data powered future.

Organizations everywhere are looking to do more with their data assets, as well as better leverage open data and third party data sources for additional consumer insight. The good news is that there is no shortage of information available. The bad news is that wrangling and making sense of all that information can be very challenging. That is why we see 61 percent of U.S. companies stating inaccurate data is undermining their ability to provide an excellent customer experience. However, there is a new breed of data professionals trying to change all that. New talent is coming into organizations looking to unlock the power of data to transform business operations and better serve clients. Businesses everywhere are eager to bring on these data professionals; to the point it is creating a frenzy around data staffing. If you are looking to hire new data professionals, you are certainly not alone. According to a new Experian Data Quality report, Investing in Digital Transformation: This Year’s Most Sought-After Data Roles, businesses are hiring a mix of business- and regulation-focused data positions. Below is a chart showing the top roles being hired according to U.S. respondents and also c-level executives specifically: There are a few key roles I want to highlight. First, data analysts. They are the most sought-after data role by U.S. organizations, mainly because they are so versatile. They are individuals placed across departments to analyze data in such a way that it can be used for business intelligence. 57% percent of businesses spend a majority of their time analyzing data, and this role is key to ensuring they’re getting the right results. The most important role for c-level executives is the chief data officer (CDO). The CDO has seen a lot of hype in the past few years and at this point we are seeing more general adoption of the role. This individual is responsible for developing and implementing an information strategy, which includes disciplines like data security, governance, quality, and management. They also will oversee a team of data professionals who bridge the gap between the business and IT. We have more research on this role in particular coming out next month, but they will often shape cross-functional data organizations and how well businesses can achieve the data insight they desire. In general, with all of these roles, talent shortages are a problem. Relative to demand, very few experienced individuals exist on the market. This means organizations need to come up with creative ways to attract and maintain this talent to keep up with the changing business landscape. For more information on these and other data roles, download a copy of our new report: Investing in digital transformation: This year’s most sought-after data roles. Download the complete "The Year's Most Sought-After Data Roles" report.

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.