Lorem Ipsumis simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
At Experian we believe that data is good. Good for our economy, good for consumers and good for society. Analytics and technology designed to help marketers put their data to use and become truly customer-centric is just one example of using data as a force for good. The following column was written by Emad Georgy, senior vice president of development and global head of development at Experian Marketing Services, as part of a “Data-Driven Thinking” series for AdExchanger. Emad explores the topic of customer-centric marketing, and raises the question: “What does a marketing ecosystem look like when we focus on the customer and work backward from there? It’s not about the cloud; it’s about the customer.” In the age of the half-read article, far too few have taken the time to understand deeply what big data can do for their business. The focus has been more on the medium, with more talk about channels, clouds and the data than about the customers themselves. This begs the question: What does a marketing ecosystem look like when we focus on the customer and work backward from there? It’s not about the cloud; it’s about the customer. Looking for big answers in the channel and the technology is important, but focusing on the “how” of big data can obscure the reasons for why we use the data. It’s as if some are staring at a large explosion of data and wondering, “What can I do with this data? How can it benefit my business?” This is backward at best. With more data in our marketing ecosystem, the complexities of mining and predicting have increased exponentially. More marketing communities are investing in data scientists as a result. But there’s something out there bigger than big data: the big questions we want answered and the answers themselves. Now we need to identify the big questions and answers that can come out of this big data boom. One of the keys to answering the right big questions: predictive analytics. Predictive models and tools are easier and more accessible than ever, with the ability to put big data insights into an automated, future-finding realm that is becoming more open by the day. This accessibility enables professionals in every industry to answer in mere minutes questions that would have once required many years and millions of dollars. The Right Questions Before we identify what the right questions are, it’s important to understand what the right questions are not. Marketers often view predictive analytics as the solution to their budget optimization decisions. Sure, CMOs are under increased pressure to predict future spending and adjust channel budgeting accordingly. Real-time predictive analytics allows them to do this without waiting for end-of-the-month reporting. This is an important decision, and analytics can help. But marketers need to go beyond the budgeting mindset to consider the customer’s role in analytics. Customers offer up so many other data points as they engage with a brand, and marketers are responsible for using that information to improve the customer’s day-to-day experience. So what are the right questions? Here are a few. Who is my best customer segment? Keep in mind that this is a transient answer and can change in real time. Who is showing signs and/or probabilities that they are going to become my next best customer segment? Which cross-channel consumer experiences are resonating, and when and where? Which customers are showing behaviors that may predict a lack of engagement or declining engagement? By asking the right questions, marketers can move beyond the marketing mix budget question. Predictive analytics can offer insight into what types of consumer segments are resonating in which channels, at which times of day, for which products and at which point in a path to purchase. It can give insight into things that are about to happen – when a customer is about to fit your “best customer profile,” or perhaps the warning signs to predict when a customer is about to terminate the relationship. Real-time capabilities to understand and optimize buyer personas, to deliver contextually relevant messages to individuals, not demographics, are just some of the ways we can leverage these capabilities. Building intelligent, mutually beneficial interactions for individual customers requires knowing these signals. Avoid The Snapshot Predictive analytics is so important for optimizing the customer experience because a customer’s experience – whether it’s preferences, behavior or desired conversations – can change every second. Models that are used to inform the marketing experience can’t be built from static variables, but rather must learn and adjust in real time. When the insights are made predictive and are constantly attuned accordingly, a critical shift is made: Customers, not marketing technologies, are driving the intelligence. And that’s the crux of the crossroads we face. We’ve focused for so long on the how of analytics that we’ve forgotten the human side. The algorithms and technology we’ve built are impressive and incredibly useful, but predictive analytics can’t be entirely machine-run. There’s a human element that must coexist and we must recognize that behind the data are real, irrational humans with constantly changing and sometimes unpredictable stories. We mustn’t let our obsession with the “how” of data get in the way of the “why” we care. That is what customers want: seamless, integrated experiences that are contextually relevant to their wants and needs. Follow Experian Marketing Services (@ExperianMkt) and AdExchanger (@adexchanger) on Twitter.
Today Experian Vision 2015 conference kicked off to great start with a full house here to learn the latest about how data and analytics can transform the way we do business today, drive growth and solve some of our biggest business challenges. Craig Boundy, former CEO of Experian North America challenged the audience to think big over the next two days and beyond. Without question, big data is a huge driver in today’s economy. How can companies operating in today’s data driven world acknowledge the power of data and also embrace the power of data as a force for good. A panel of business leaders from Experian then took the stage to address a range of questions about topics common and critical to successfully grow business, find opportunities and solve problems. The topics addressed:preventing fraud, reaching unbanked and underbanked consumers and the importance of quality data. The more than 80 breakout sessions presented by Experian experts and industry luminaries drilled deeper into these topics. A highlight for all attendees was the keynote from Dr. Madeleine K. Albright, Former U.S. Secretary of State and chair of the Albright Stonebridge Group and Albright Capital Management. Dr. Albright highlighted her years of international diplomacy and business experience. In her comments, she stated that it is the private sector who truly have an important role to play in embracing technology and data. “It’s the private sector’s know-how, innovation and job creation that invigorates communities and countries. Globally, private sector investment overwhelmingly exceeds foreign aid, which many Americans would be surprised to learn is less than 1% of the federal budget. And needless to say, the financial services sector, which many of you represent, does have an indispensible role. I’ve often said, that for many countries the key to development is not discovering oil or gold; it's having financial institutions that are accessible, accountable and available in the right places at the right time.” To learn more about Experian’s Vision 2015 Conference click here. Be sure to follow us on Twitter at @ExperianVision and our LinkedIn Community for instant conference updates.
At the start of the Vision 2015 Conference, Experian® announced a new dedicated enterprise Fraud and ID business in North America. This newly established business unit allows Experian, the leading global information services company, to more aggressively address the growing variety of fraud risk and identity management challenges businesses, financial institutions and government agencies face. "The rapid progression of wide-scale fraud and data breaches have led to a significant increase in identity theft related risk, and potential fraud losses on a larger scale than ever anticipated," said Charles Chung, president of Decision Analytics, Experian North America. "For nearly two decades, we have been helping clients solve the difficult and ever-changing problems of fraud detection and identity management. Our core expertise was further enhanced by the recent acquisition of 41st Parameter which added device identification as another important layer of sophistication to our suite of fraud detection tools. Now the creation of a new fraud business unit brings all components of our Fraud and ID services together to better serve all markets through our innovative authentication techniques, advanced analytics and Big Data insights." Having one comprehensive operation allows Experian to deliver greater value across its various addressable markets through customized approaches that balance privacy, security and compliance requirements with client reputation, customer experience, convenience and efficiency. The integration brings together a wide set of enterprise services ranging from identity and device risk assessment and anti–money laundering to consumer identity monitoring and alerts, letting Experian continue to proactively meet client needs surrounding the complex risks they face. Dr. Jon Jones has been appointed to lead the new business unit as senior vice president and general manager of Fraud and ID for Experian North America. "Data security and fraud management affect many industries as identity data has become so compromised that authenticating consumers through traditional means is not enough to safeguard against fraud. Modern fraud risks now absolutely require Big Data assets and the proven ability to derive predictive analytical capabilities to meet these challenges," said Jones. "Today, online and mobile commerce, and customer demands for convenience and speed are intersecting with the increasing sophistication of criminal fraud networks. Experian's new integrated fraud business delivers next-generation holistic fraud management services, leveraging our vast data landscape to identify customers' risk for fraud even when no threat has been detected to stay ahead of the growing market demands." Accounting for the real risk of identity compromise over time continues with the launch of Experian's Identity Element NetworkSM which identifies real-time fraud volume and velocity linkages across multiple industries to predict when consumers are showing risk of identity compromise. Experian monitors and predicts when seemingly random identity element linkages become meaningful risk clusters, including: When an identity likely has been compromised When an identity is victim of a data breach When a transaction is part of an identity theft scheme, particularly an account takeover When consumers' identities are exhibiting identity theft, visible by monitoring a broad portfolio of breached or compromised consumers "Cybercriminals continue to rapidly escalate their assault on sensitive data across a variety of industries, with no end in sight," said Julie Conroy, research director at Aite Group. "This requires fraud prevention capabilities to undergo a similar rapid evolution, with a new, more advanced approach to identity management sitting squarely in the middle of risk mitigation. Simple personally identifiable information is no longer enough to verify identity; the next wave of fraud and cybersecurity services needs to employ robust data and advanced analytical capabilities in order to make faster and more informed identity decisions." Experian's Identity Element Network service can be utilized through its flagship fraud enterprise platform, Precise ID®, using its data assets and analytics alongside 41st Parameter's FraudNet to deliver a comprehensive view of the Customer Life Cycle of traditional identity, device confidence and risk assessment. Learn more about Experian's Big Data fraud service for breach identity compromise detection for your business.
Today, we stand at the forefront of a digital revolution that is reshaping the financial services industry. And, against this backdrop, financial institutions are at vastly different levels of maturity; the world’s biggest banks are managing large-scale infrastructure migrations and making significant investments in AI while regional banks and credit unions are putting plans in place for modernization strategies, and fintechs are purpose-built and cloud native. To explore this more, I recently had the privilege of attending the annual Reuters NEXT live event in New York City. The event gathers globally recognized leaders across business, finance, technology, and government to tackle some of today’s most pressing issues. On the World Stage, I joined Del Irani, a talented anchor and broadcast journalist, to discuss the future of lending and the pivotal role of data and AI in building a more inclusive financial system. Improving financial access Our discussion highlighted the lack of access to traditional financial systems, and the impact it has on nearly 100 million people in North America alone. Globally, the problem affects over one billion people. These people, who are credit invisible, unscoreable, or have subprime credit scores, are unable to secure everyday financial products that many of us take for granted. What many don’t realize is, this is not a fringe subset of the population. Most of us, myself included, know someone who has faced the challenges of financial exclusion. Everyday Americans, including young people who are just starting out, new immigrants and people from diverse communities, often lack access to mainstream financial products. We discussed how traditional lending has a limited view of a consumer. Like looking through a keyhole, the lender’s understanding of the person in view is often incomplete and obstructed. However, with expanded data, technology, and advanced analytics, there is an opportunity to better understand the whole person, and as a result have a more inclusive financial system. At Experian, we have a unique ability to connect the power of traditional credit with alternative data, bringing a more holistic understanding of consumers and their behaviors. We are dedicated to leveraging our rich history in data and our expertise in technology to create the future of credit and ultimately bring financial power to everyone. The future of lending After spending two days with over 700 industry leaders from around the world, one thing is abundantly clear: much like the early days of the internet, today, we are at the cutting-edge of a technical revolution. Reflecting on my time at Reuters NEXT, I am particularly excited by the collective commitment to drive innovative, and smarter ways of working. We are only beginning to scratch the surface of how data and technology can transform financial services, and Experian is positioned to play a significant role. As we look to the future, I am excited about the ways we will create new opportunities for businesses and consumers alike.
We believe that financial literacy leads to empowerment. That is why Experian supports initiatives and partners with community organizations to deliver financial education. We also develop products and services that give more control to consumers over their credit profile and financial health. As part of advancing our mission of Financial Power to All®, we are proud to announce we are helping more than 5,000 Hispanic individuals nationwide by relieving $10 million dollars of consumer debt. To provide families with this boost, we joined forces with ForgiveCo, a Public Benefit Corporation (PBC), to administer the acquisition and cancellation of qualifying consumer debt for the selected recipients. Beneficiaries will also receive a one-year premium Experian membership for free that offers access to their Experian credit report in English and Spanish[i], FICO® Score[ii], bilingual educational content, and other financial resources. We hope this effort helps raise awareness of the importance of financial literacy for everyone, and that Experian has resources to help individuals reach their financial dreams. To amplify the message, we collaborated with multi-platinum, award-winning singer and songwriter Prince Royce and you can see his video here. In fact, we have been making a concerted effort the last several years to evolve our educational resources and products to better support all underserved communities. Some of our other activities include the creation of the B.A.L.L. for Life initiative that connects African American and Hispanic youth with financial education, supporting scholarships for Asian Americans through the Ascend organization, providing custom resources for Out & Equal and Born This Way Foundation for the LGBTQ+ community, supporting the NextGen Innovation Lab for Disability:IN, and sponsoring credit counseling for the military community with Operation HOPE. For resources in Spanish, Experian offers a credit e-book and consumers can access a full suite of articles at the Ask Experian blog here. [i] Only Experian credit reports are available in Spanish. All other services associated with an Experian membership are available in English only. English fluency is required for full access to Experian’s products. [ii] Credit score calculated based on FICO® Score 8 model. Your lender or insurer may use a different FICO® Score than FICO® Score 8, or another type of credit score altogether. Learn more.
Amid some of the financial challenges that underserved communities experience, members across the financial services community remain committed to championing initiatives and programs that drive greater financial inclusion. In fact, collaboration has led to the inclusion of non-debt related payment information on consumers’ credit profiles, as well as digital services that make it easier to manage money. These efforts have helped to broaden access to fair and affordable financial resources for more individuals. While significant progress has been made, there is still more work to do. However, some of the misconceptions and myths about the financial services community are hindering further advancement. Debunking these myths will accelerate progress by building trust between the financial services community and consumers. Person withdrawing money from ATM contactless Myth #1: “Financial institutions have no interest in underserved consumers or credit invisibles.” The truth is, banks and credit unions want to say “yes” to more prospective borrowers, including individuals and families from underserved communities. Beyond being the right thing to do, it’s an opportunity to potentially build lifelong relationships with a relatively untapped market. A show of good faith to communities who have largely been ignored by the financial system could lead to customer loyalty that may extend to their family and friends. That’s why participants across the financial ecosystem have been proponents of including expanded data sources—such as on-time telecom, utility and video streaming service payments—on to consumer credit reports, as well as exploring other Fair Credit Reporting Act (FCRA)-regulated data sources, including payment data on short-term small dollar loans and expanded public records data. Making this data more accessible to lenders provides a more comprehensive view of a consumer’s ability and willingness to repay outstanding debt—an actionable solution to extending credit to consumers without lenders taking on additional risk. Myth #2: “There is a lack of trustworthy financial education resources.” The financial services community and affiliated organizations recognize that empowering people with financial knowledge and skillset are critical to consumers’ financial success. In fact, banks and credit unions are partnering with nonprofits and non-governmental organizations to better understand the unique challenges and opportunities within specific communities and provide relevant tools and resources. For example, Experian’s B.A.L.L. for Life (Be A Legacy Leader) program, launched in partnership with the National Urban League, serves as a catalyst for engaging with Black communities and low-income youth through live events and digital financial education. Subject matter experts, professional athletes, celebrities, and other influencers share their experiences and expertise, covering topics such as banking, credit, financial management and investing. In addition, to help people improve their financial management, Experian partners with the National Foundation for Credit Counseling (NFCC). The NFCC connects consumers with certified financial counselors to help them address various pain points, including debt management, homeownership, student loans or small business cash flow issues. Myth #3: “Underserved communities have few opportunities to build credit and enter the mainstream financial system.” People from underserved communities, as well as younger consumers and recent immigrants are often excluded from the mainstream financial system because they lack an extensive credit history. Historically, it’s created a vicious cycle; in order to get credit, you have to have credit. Fortunately, there has been a sea change in innovative solutions to address the specific needs of these populations. These include new credit scoring models and microfinancing which provide financial services to individuals who may have been excluded from traditional banking systems. In addition, by incorporating expanded data sources, such as telecom, utility and residential rental payments onto credit reports, lenders have more visibility into consumers who may have been excluded by traditional credit scoring methods.These programs help individuals and families from underserved communities establish and build a credit history that could enable loans, or the ability to rent an apartment or open their dream business. An example is Experian Boost®, a free feature that allows Experian members to contribute their history of making utility, cellphone, insurance, residential rent and video streaming service payments directly into their Experian credit profile. By incorporating nontraditional credit data like paying utility bills on time, online banking transactions, rental payments and verified income data, more people can establish a credit profile that can potentially qualify them for a loan. More Inclusion, Fewer Myths It’s encouraging that community organizations and banks are beginning to see the economic and social benefits of aligning on financial literacy and inclusion. As more initiatives come online, underserved populations will be able to establish a better financial foundation. Then, we can declare the myths to be history.