Innovation

To stay ahead of the competition and on the path of sustained growth, you need clear line of sight to both risks and opportunities through the customer lifecycle. Gaining better insights on customers is critical to achieving that, so you can make all the right decisions, big and small, about your customers and business clients. Based on the conversations we have with our clients, we have noticed that most executives are paying a lot of attention to measuring customer experience and reducing friction across digital touch-points through the lifecycle. For customer acquisition, for example, businesses like yours look at time spent on each micro-step (e.g. data field), dropout rates at each of those steps, and do A/B testing at a very granular level. The idea is to understand all points of friction including points of confusion, frustration, etc., so you can learn from those and improve the experience. But this is not an easy task. The various challenges involved are making sense of the vast quantities of data and the immaturity of that data as well as the construct of that data. Given the fast pace at which data analytics change and evolve, our recommendation is that you invest in tools that are data and/or analytics agnostic. Thinking ahead: leveraging data analytics and cloud-based decisioning platforms to design the right customer treatment There is a largely untapped opportunity to leverage data, analytics, optimisation and decision management solutions - such as cloud-based decisioning platforms - to design the right customer treatment and identify the next best action for that customer. Selecting the appropriate timing, medium, and channel for those actions lead to greater consistency and contribute to having more relevant communications with your customers. The more relevant you are, the more precise you are with the offers and the treatments leading to improved response rates, greater connectivity and interaction with the customer. This results in memorable experiences that enhance loyalty and drive profitability.

I recently had the opportunity to discuss the current state of #data collection, analytics, and AI in an interview with @CIODive. As technology advances, businesses can collect and analyse more data than ever before. However, most of that information ends up languishing, seldom being used or even catalogued. Recent research suggests that partly, this happens because businesses are unaware of what data they store or don't know how to get actionable insights out of it. This lack of visibility into data stores affects organisations' readiness to apply artificial intelligence (AI) and machine learning (ML): advanced analytics require data to be properly managed and organised. At Experian, we believe in taking an outcome-focused approach to analytics and AI as we look at activating the power of our data AI outcomes. We work backwards, from high-impact client and consumer outcomes, and bringing to bear the analytics, AI and data to achieve them. This way, we can assess more accurately what effort across data collection and analytics is required to achieve an outcome. Executed effectively this can avoid an enormous amount of investment in people, time, data. If you're interested in this topic, I'd recommend you to read the article in full: http://bit.ly/AImlShri_CIODive

Today, I’m pleased to share another strong set of Half Year results for our FY20 fiscal year. We have achieved 7% organic revenue growth, with total H1 growth of 8% when you include acquisitions. The performance reflects the continued success of our core business new product introductions, as well as rollout of our innovation agenda and the investments we have made in globally scalable products. At Experian we are helping our clients get better at acquiring, onboarding and managing their customers’ needs in the digital world. To do this, they are increasingly relying on data, combined with sophisticated analytics and decisioning capabilities, areas in which we excel. In addition, to helping businesses, we are continuing to expand our direct relationships with consumers. Over 70 million people across our three major markets now benefit from free Experian memberships, accessing information and tools to enable them to take control of their finances. A great example of this is Experian Boost in North America, where we enable consumers to voluntarily add payment histories for things like their mobile phone and utility bills to their credit profile. It’s been a successful year to date, but there is plenty more to come. With a continued focus on people, technology and innovation, we are revolutionising the way our industry operates - using the power of data, software and analytics to improve outcomes for everyone. To find out more, click here.

Retailers are already starting to display their Christmas decorations in stores and it’s only early November. Some might think they are putting the cart ahead of the horse, but as I see this happening, I’m reminded of the quote by the New York Yankee’s Yogi Berra who famously said, “It gets late early out there.” It may never be too early to get ready for the next big thing, especially when what’s coming might set the course for years to come. As 2019 comes to an end and we prepare for the excitement and challenges of a new decade, the same can be true for all of us working in the lending and credit space, especially when it comes to how we will approach the use of alternative data in the next decade. Over the last year, alternative data has been a hot topic of discussion. In fact if you typed “alternative data and credit” into a Google search today you would get more than 200 million results. That’s a lot of conversations, but while nearly everyone seems to be talking about alternative data, we may not have a clear view of how alternative data will be used in the credit economy. How we approach the use of alternative data in the coming decade is going to be one of the most important decisions the lending industry makes. Inaction is not an option, and the time for testing new approaches is starting to run out – like Yogi said, it’s getting late early. And here’s why: millennials. We already know that millennials tend to make up a significant percentage of consumers with so-called “thin-file” credit reports. They “grew up” during the Great Recession and that has had a profound impact on their financial behavior. Unlike their parents, they tend to have only one or two credit cards, they keep a majority of their savings in cash and, in general, they distrust financial institutions. However, they currently account for more than 21 percent of discretionary spend in the U.S. economy, and that percentage is going to expand exponentially in the coming decade. The recession fundamentally changed how lending happens, resulting in more regulation and a snowball effect of other economic challenges. As a result, millennials must work harder to catch up financially and are putting off major life milestones that past generations have historically done earlier in life, such as home ownership. They more often choose to rent and, while they pay their bills, rent and other factors such as utility and phone bill payments are traditionally not calculated in credit scores, ultimately leaving this generation thin-filed or worse, credit invisible. This is not a sustainable scenario as we enter the next decade. One of the biggest market dynamics we can expect to see over the next decade is consumer control. Consumers, especially millennials, want to be in the driver’s seat of their “credit journey” and play an active role in improving their financial situations. We are seeing a greater openness to providing data, which in turn enables lenders to make more informed decisions. This change is disrupting the status quo and bringing new, innovative solutions to the table. At Experian we have been testing how advanced analytics and machine learning can help accelerate the use of alternative data in credit and lending decisions. And we continue to work to make the process of analyzing this data as simple as possible, making it available to all lenders in all verticals. To help credit invisible and thin-file consumers gain access to fair and affordable credit, we’ve also recently announced Experian Lift, a new suite of credit score products that combines exclusive traditional credit, alternative credit and trended data assets to create a more holistic picture of consumer creditworthiness that will be available to lenders in early 2020. This new Experian credit score may improve access to credit for more than 40 million credit invisibles. There are more than 100 million consumers who are restricted by the traditional scoring methods used today. Experian Lift is another step in our commitment to helping improve financial health of consumers everywhere and empowers lenders to identify consumers who may otherwise be excluded from the traditional credit ecosystem. This isn’t just a trend in the United States. Brazil is using positive data to help drive financial inclusion, as are other around the world. Like I said, it’s getting late early. Things are moving fast. Already we are seeing technology companies playing a bigger role in the push for alternative data – often powered by fintech startups. At the same time there also has been a strong uptick in tech companies entering the banking space. Have you signed up for your Apple credit card yet? It will take all of 15 seconds to apply, and that’s expected to continue over the next decade. All of this is changing how the lending and credit industry must approach decision making, while also creating real-time frictionless experiences that empower the consumer. We saw this with the launch of Experian Boost earlier this year. The results speak for themselves: hundreds of thousands of previously thin-filed consumers have seen their credit scores instantly increase. We have also empowered millions of consumers to get more control of their credit by using Experian Boost to contribute new, positive phone, cable and utility payment histories. Through Experian Boost, we’re empowering consumers to play an active role in building their credit histories. And, with Experian Lift, we’re empowering lenders to identify consumers who may otherwise be excluded from the traditional credit ecosystem. That’s game changing. Disruptions like Experian Boost and newly announced Experian Lift are going to define the coming decade in credit and lending. Our industry needs to be ready because while it may seem early, it’s actually getting late.

At Experian we’re committed to creating a culture of continuous innovation, from the way we work to the solutions we create. This commitment has helped us create a workplace where our teams across the world have a desire to help change the lives of millions for the better. Justin Hastings, former Chief Human Resources Officer for Experian North America, recently wrote an article for the Forbes Human Resources Council which highlights the importance of creating an inclusive environment in the workplace -- and demonstrates how innovation, developing new products and services, and providing value are all crucial to a companies’ success. The article, “Deliver Innovation By Embracing Inclusion,” explores what it means to build a culture of innovation, and how to ensure employees feel comfortable bringing their different backgrounds and ideas to their role every day. This is the type of innovative culture we’re building at Experian, which celebrates these differences and works to make employees feel valued and empowered to be innovative and productive. Another concept Justin discusses in this article is “innovating to grow.” It’s important to make employees feel connected to their organization and involved in the creation of new products and services. This has a tremendous positive impact with employees providing valuable feedback, and also creating advocacy among team members. For example when developing Experian Boost, which has helped millions of people raise their credit scores, we first beta-tested and shared the innovation internally and were able to garner valuable feedback and support from employees. As a result, we’ve seen tremendous success since the launch of Experian Boost earlier this year. At Experian we truly believe that inclusion is the key to creating a culture of innovation. You can read the full article here.  

Eva lets out a deeply frustrated exhale as she navigates moving boxes in her new apartment towards a nearby chair. She was just trying to update her address online and take care of some online banking money transfers. Now her accounts are frozen, and she has received a message to call the bank's fraud department. How could she be a fraudster? She was only guilty of taking a job and moving to Chicago. Maybe it's time to start thinking about changing banks... Meanwhile, in the bank's Texas-based fraud department, Robert spots Eva's case in his fraud investigations list. He noticed some suspicious activities and leaves Eva a voicemail, wanting to ask her a few questions to verify her identity or otherwise confirm this is in fact a fraudster infiltrating Eva's account. To prevent this potential risk of fraud from escalating, Robert decides it is better to freeze Eva's accounts while he confirms that it's actually Eva who is trying to change her address and not a fraudster using a stolen password. As both Robert and Eva work to connect and clear up this mix-up, Robert isn't getting to spend his time finding actual fraud and protecting his bank from any potential losses. Fraud hubs bring together advanced authentication technology and risk mitigation systems into a single platform As fraud attacks grow more frequent and complex, new technologies have sprung up to help meet the challenge, using a variety of tactics and tools to detect fraud. This is the case of device recognition, malware detection, identity verification, behavioural biometrics, and document verification, just to name a few. Regardless of their choice of tools and techniques, businesses across banking, retail, telecommunications, healthcare, and services industries need to know that the person interacting with them online is who they say they are. Combating fraud with layered tools strengthens businesses' defenses. But without an intelligent approach to connecting those tools, businesses catch too many good customers (like Eva) in their fraud-mitigation nets. By bringing together different types of fraud mitigation and risk management systems on a single technology platform, fraud hubs provide a solid solution to this challenge. How do fraud hubs like CrossCore help both businesses and consumers? CrossCore brings together into a single platform best-in-class tools and services such as advanced analytics, data consortium, device recognition, endpoint malware, and bot detection, behavioural biometrics, and document verification. Experian has also been named by Gartner as a representative vendor in online fraud detection in their April 2019 Market Guide for Online Fraud Detection, for its CrossCore solution.* Our flagship identity and fraud hub connects various functionalities together in a smart, orchestrated way, leveraging machine learning-driven decisioning to deliver a single fraud decision across multiple tools and enabling businesses worldwide to improve their fraud detection capabilities. CrossCore equips businesses with the most applicable tools to combat the specific fraud threats they face in their organisation. The 100 million cumulative transactions we have run on CrossCore to date show us that while one client may need additional protection against synthetic identity fraud, another may face frequent bot attacks in their account opening application, therefore requiring different approaches. It also means that if one tool can't validate a user's identity, another system can provide evidence that this is, in fact, a real customer. It's precisely the advanced analytics underpinning data modeling what gives our clients greater confidence in their identity and fraud decisions. But let's go back to Eva. In her case, CrossCore's fraud risk engine would have fired rules when she was making a change of address, as this action elevates the potential for fraud. But CrossCore's device intelligence would have shown that Eva was logging in from a known mobile phone. She was also using her phone to type information in a way that a normal user (non-fraudster) would do. In that case, CrossCore would have asked for a step-up authentication where Eva is prompted to take a selfie for biometric authentication. Now, Eva can continue to do her banking and access her accounts as she would normally do. This is a relief as Eva checks off more moving-related tasks and can enjoy her new life in a new city. Back in the bank's fraud investigation office, Robert and his colleagues would have never seen a case for their customer, Eva. Instead, they would have been able to focus their energies on high-risk cases, mitigating any emerging fraud threats. They would have also treated Eva as the good, valued customer she is and helped ensure her business in the long run. Whether it's an automotive client in South Africa, a healthcare organisation in the U.S., an insurance company in the UK, a fintech in Australia or a bank in Brazil, CrossCore is helping to solve one of the greatest challenges in decision analytics today: identifying good customers, while reducing fraud. Download the 2019 Global Identity & Fraud Report. *Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.  

Phishing attacks have become more sophisticated and personal. We are all busy with life – work, family, commute, and dinner plans, along with keeping up on the latest news cycle. Virtually anyone could be inclined to quickly click on a link stating there is an issue with their recent order. But there's more to phishing attacks than just baiting businesses and consumers. During a recent #ExperianLive event, Mike Gross, Head of Global Identity and Fraud Product Innovation, discussed what businesses can do to protect themselves and their customers. ​ Q: You say that phishers would make good digital marketers. What do you mean by that? Mike: Like a great marketer, a good phisher understands people and their tendencies; they know how to get people to take action on their message. Take my most recent “almost phishing" incident. During the holidays, I received an email from a top online retailer stating there was a “problem with my recent order." I knew that any delay would jeopardize my holiday gift delivery. I was just about to click the “Login" button and then stopped. Thankfully, I double-checked the sender and it wasn't my favorite shopping site after all – just a really good fake email from a "phishy" sender. Like a digital marketer, phishers understand how to specifically target the things that people care about. This is why phishing attempts focused around the holidays, tax season, natural disasters, and hot news topics are often so successful. Q: Are phishers counting on the relationship and roles people have in an organization? Mike: Yes. That's the whole nature behind one of the biggest phishing attacks over the past several years – business email compromises. As a phisher, I'm sending you an email that looks like I work with you, say a vendor with a message that reads, “I changed the account that you use to pay me; please update your payment to this new account." If there is urgency behind it, it is taken seriously - for example, to avoid being late on paying a vendor. Human nature is being helpful and reacting, especially in this fast-paced, hyper-connected world – and that's why these scams continue to work. Q: What other phishing trends are you seeing? Mike: They've evolved over time. Take the simple phishing email; it's not so simple anymore. Nowadays, attacks are personalized to both the business and specific person – and phishers are taking advantage of automation and targeting tools so they can get the most reward for their effort. “Smishing" is variant of phishing focused on the phone channel, where attackers target victims with an SMS-based attack; you've probably seen them. You get a text and link from what you think is your friend saying something like “Check out this funny video!" But it isn't legitimate; it's a fraudster that is spoofing your friend's phone number. Then there is “vishing" which is a voice-based attack. This is where a fraudster pretends to be someone they're not (like a consumer's financial institution) and tries to obtain personal information or take over an existing account. Q: Wow! Phishing fraud is sophisticated. What has led to that? Mike: We've seen a tremendous leap in technology used. There is a great example of that last year with a U.K. bank. Their customers expect that if there is an out-of-place transaction, the bank will call them. In this particular vishing scheme, vishers used compromised accountholder usernames and passwords to log into customer accounts and set up money transfers. Knowing that this would alert accountholders to the attempted transfer using the SMS one-time passcode, phishers called legitimate customers, impersonated the bank, and stated that since the customer was a recent fraud attack victim, the bank needed confirmation that they were the accountholder. The vishers told customers they would receive a passcode. While the customer confirmed the code, the vishers submitted the fraudulent transfer. Q: What trends and techniques are you seeing? Mike: Two of the big trends we're seeing is around Artificial Intelligence (AI), machine learning, and SMS to find victims. A big part of phishing is what we call “spear phishing." This targets individuals with access to an organization's financial accounts or internal systems. Another term is “whaling" which targets a specific high-profile individual. The phishers are no longer just sending out blanket lottery scam and Nigerian prince emails with misspellings to millions of people. It's very focused – and phishers can easily do this using machine learning and AI. Q: Do you notice any seasonality, or spikes in phishing based on a certain time of year? Mike: The holidays are one because so many people go to their favorite shopping sites and buy items that are completely out of pattern based on what they usually do online. Another good example is tax season. We saw phishers impersonate top tax and financial management software providers, allowing consumers to “quickly and easily submit their tax forms online." What's worse is that phishers use the knowledge you have about phishing against you. Things like “How do you protect yourself? Click on this link to learn more" or “Click this link to download software and protect your devices." Also, fraudsters pay attention to the news, so whether it's a natural disaster or the cathedral fire that happened in Paris last April, phishers see those as opportunities to prey on victims simply trying to donate to a worthy cause. Q: What advice do you have for businesses and consumers to protect themselves against phishing attacks? Mike: My advice for businesses is to focus on technology and training. Strong technology solutions must be in place at all businesses to block phishing emails that are coming from suspicious sites – and for the most part, large organizations do a great job of that. Smaller businesses can also take advantage of technology solutions from their internet providers. Businesses can implement web blocking software for less secure Internet sites and filter what types of content employees can have access to on business devices. A lot of companies hire outside consultants to talk about the different types of phishing attacks with employees. These are helpful, but the key is to not allow training to become static because attackers evolve so quickly. Both businesses and consumers can use the email filtering option that is available through nearly every email provider. Don't click on any attachments that even remotely look suspicious - especially if they've been texted to you from someone you either don't know or the message appears out of character for someone you know. Q: What activities is your group taking on that will help businesses and their customers fight phishing attacks? Mike: There are several things we're doing that impact businesses and consumers offline and digitally. We help businesses recognize their customers and authenticate them, whether that's helping customers with a new bank account, enabling easy checkout at a favorite retailer app, or protecting account logins. 99% of people trying to access accounts are the legitimate account holder; it's that 1% though that causes a lot of friction for good customers. So, we're trying to make it easier for those consumers to quickly pass through all of the controls so authentication is easier. That translates into consumer loyalty for brands. Q: And that's what it's really all about? Mike: It is. We help businesses recognize their customers and also ensure that they are catching fraudsters on the back end. But we also strive to make that recognition or user experience as seamless as possible, with the right scrutiny for the risk level of that business. Mike Gross leads product innovation strategy for Global Identity and Fraud at Experian. Check out the entire podcast and video on how to protect your business from phishing here.

We are delighted to announce our investment in bonify, a German fintech start-up dedicated to giving consumers better insights into their creditworthiness. bonify gives its 500,000 customers easy access to their creditworthiness and financial data, offering them a number of financial management tools to help analyse and optimise their financial situation. At Experian, we believe very deeply in the power of data to help improve people’s lives. That’s why we’re so excited by bonify’s continued goal to improve its users’ financial lives, and the steps it is taking to help people in Germany understand and benefit from their financial information. We are delighted to join a number of investors in supporting the growth of this innovative start-up. Charles Butterworth, Managing Director Experian UK, Ireland and EMEA​, said: "We are excited by the way bonify is helping people in Germany understand, engage with and improve their credit scores. We look forward to supporting the team as an investor and partner in their future growth.“ Founder and CEO of bonify, Dr. Gamal Moukabary​, said: “Experian's  investment shows that we are on the right track. It rewards our achievements and  our unique value proposition. Experian is an ideal investor and partner for us to  support the next growth phase. Our goal is to expand our operations into other  European countries.” Manuel Silva Martínez, Partner and Head of Investments, Santander  InnoVentures​, added: “We are delighted to welcome Experian  Ventures to bonify. Experian will add tremendous value and technical expertise to  bonify’s product roadmap. We are thrilled to support bonify as we accelerate growth and help more and more people across Germany and Europe with taking control of  their finances in a sound and responsible way.

Technology revolutionizes the way businesses operate, but implementing change within a company is often challenging. Company-wide support is vital to successfully undergo a transformation. At Experian, in 2015, we underwent the task of moving from a traditional computing architecture to the cloud. This is a monumental transformation with our massive digital infrastructure and significant global reach, but it enables us to provide customers with real-time access to data. This journey is featured in the new book, Cascades: How to Create a Movement that Drives Transformational Change, by Greg Satell. Last year Satell’s first book shone a light on Experian’s innovation story. In his latest book he talks about the power of cascades - small groups, united with a common purpose - to drive transformational change within businesses. He gives examples of how some companies succeed, while others fail. Satell uses Experian as a case study and highlights how changes to our culture, organizational structure and skills is allowing us to adopt new technologies quicker, in better collaboration with our customers, to get cutting-edge, innovative products to market faster. At Experian, we believe in the culture of inclusion, which brings a culture of innovation with the added diversity perspective that empowers our people to continue to evolve and create valuable additions to the company during this transformation. Our philosophy is about advancing a culture that not only respects differences, but also actively celebrates them. In Cascades, Satell writes about the idea of small groups, loosely connected, but united by a common purpose. We asked the author for his thoughts about Experian’s technology journey, which he refers to as our digital transformation, and why he’s used Experian as a success story in his book. Q. What are your thoughts about Experian’s digital transformation so far? Satell: What attracted me to the Experian story was how closely it tracked with so many of the social and political movements I researched for my book. Senior leadership at Experian didn’t just try to push its digital transformation through. Rather, they identified those who were already enthusiastic and empowered them to bring others into the fold and they, in turn, could bring others in. That's how you create a cascade that leads to transformational change. Q. What has impressed you the most about Experian’s digital transformation, from both technology and human perspectives? Satell: What I found most impressive is that Experian is able to break free from decades of legacy and build a new future for itself. That's a very hard thing to do. You have all this infrastructure that served the business so well for so long. I mean you're talking about decades of investment. Still, the company leadership was able to step back and say, ‘That's our past and we're proud of it, but it's not our future’, and move forward from there. Q. Have you seen any examples of how our digital transformation is driving innovation within Experian? Satell: Well I think it has driven a lot. Things like Experian’s Analytical Sandbox, the Ascend platform and much of the current work around Artificial Intelligence (AI) wouldn't be possible without moving to more of a cloud infrastructure.