In the video and presentation, Craig Boundy, former CEO of Experian North America, discusses how big data is being used as a force for good. Good for consumers, good for business and good for society.He shares his perspective how Experian’s work in data and analytics has real-life applications. As part of this, he highlights how our business is predicated on the idea that Experian employees come to work every day to help society make better sense of the world by sifting through the information and coming up with solutions for real people, partners, governments and clients. Whether that helps consumers secure an affordable loan, understand their credit score, or protect their identity; or for a business to manage risk, help prevent fraudulent transactions, and to ensure they are marketing their products and services to the right consumers at the right time and across the right channels. As you will see, the force that is known as Big Data can be used for good and there’s still more we can do with it to drive growth and improve our economy. Big Data: The Force That’s Good for Consumers and Society from Experian_US
The following column was originally published in Adotas. Addressing the issue of identity management has become a top priority for marketers. The fact is that their customers are represented by dozens of identities – both known and unknown – in today’s digital world. According to new research published in our recently published 2015 Digital Marketer Report, linking identity data is now the #1 challenge for marketers around the world, up from fourth place just a year ago. Further, 89% of marketers report having challenges creating a single customer view. Why? Top reasons cited by marketers include poor data quality (43%), siloed departments (39%), and inability to link different technologies (37%). Brand marketers have an identity crisis Without a sophisticated approach to identity management, the concept of customer-centricity and data-driven marketing slips, like sand, through the fingers of marketers. Yes, they may have details around a specific customer on a given device or in a particular channel, but the holistic promise provided by identity data is lost; and with it the real potential of targeting, reaching and engaging digital audiences. To appreciate the nature of the challenge, it is helpful to understand its scale. According to our latest research, 84% of U.S. adults are digital. Seventy three percent own a computer, 58% a smart phone and 33% a tablet – percentages that will only increase with time. These devices will be joined by wearables (such as the Apple Watch), addressable television and the emerging world of the Internet of Things. Couple the explosion of devices with the number of email addresses, social media accounts, apps, website logins, cookies and other trackers and you have the ingredients for a full-blown identity crisis. Connecting the identity dots All of the data associated with these identities paint a rich, complex and complete picture of the user behind them. Connecting and managing these identity dots, however, is no small task. For everyone there are known identities (accounts you log into) and unknown ones (anonymous IDs based on web histories) and marketers need to appreciate and be able to navigate the differences. When linked and analyzed responsibly, identity information allows marketers to understand who we are, what matters to us and how to craft the most effective digital experience for all. This is what makes identity management such a critical issue. Good identity data provides marketers with three core capabilities: Identify – the ability to identify people across media channels, devices, access methods and applications using techniques including cookies, deterministic and probabilistic IDs and first party data. Link – the ability to link disparate data and profiles into a unified consumer view. Engage – the ability to use a deeper understanding of customers to better deliver better messages, optimize campaigns and measure performance. Identity Management is the foundation of Data-Driven Marketing For marketers to get the greatest benefit from their data, they need an identity management strategy that considers and addresses the following three things: Data Stewardship – preserving the value of the information, protecting the privacy of individuals and making it available for appropriate uses. Identity Resolution – having the ability to make connections between disparate known datasets and being able to infer connections between known and unknown identities. Technology-Current – maintaining the ability to effectively and compliantly collect, manage and act on digital identity-derived information across existing and emerging channels, platforms and devices. So what does this identity management approach look like in a real world campaign? A customer visits a brand website, uses its mobile app and “like” it on Facebook. The result is three discreet identifiers, two deterministic (the app and Facebook) but likely stored in separate systems and one statistical (the site visit). Appropriate data stewardship means all three data sets are stored and protected – and, perhaps most importantly – are accessible. Although a distinct identifier represents each of the three identities, linkage capabilities allow them to be resolved in a way that unites the data behind each of the three. Rather than treating each identifier as a separate individual, they can now be used to reflect different facets on a single person. With a now unified view, the marketer can begin to plan to reach their customers in more creative and effective ways. They can do a better job of executing cross-channel campaigns – and frequency capping on all devices and platforms. This provides a dramatically different experience for all involved. Why? Because not only does the marketer have a unified view of the customer, but the customer has a unified experience of the brand. Without an identity-driven approach to audience engagement and marketing, the customer will not be able to have a unified brand experience because the marketer can’t establish that unified view. Further, it allows marketers to make the most of their organization’s information assets, meet their customers where and when it makes the most sense and execute the most cost-efficient and effective campaign possible.
If you were to survey American consumers whether or not they would like to be their own boss and successfully run their own business, I would imagine that a good majority would probably say yes. There is something empowering about the thought of setting your own hours and controlling your own destiny, but many people don’t actually take the steps to make that dream a reality. However, during the height of the recession and shortly thereafter, many consumers were forced to take the plunge and start their own business as a way to generate a source of income. As a result, entrepreneurism skyrocketed. While some struggled, others succeeded. But how have entrepreneurs fared in the post-recessionary period? As a way to better understand the start-up environment post-recession, Experian conducted an analysis on small business start-up trends from 2010-2014. Interestingly, the number of startups has decreased nearly 45 percent since 2010 – most likely due to a slowdown following the influx of businesses started during the recession. That said, the trend has become somewhat stable over the past few years. While the drop in the number of start-ups may appear discouraging, it isn’t necessarily a cause for concern. As we see employment rates trek higher, and the Gross Domestic Product climb, we’ve been able to experience an improved economy. This also means that fewer consumers feel the need to startup new businesses out of necessity. Furthermore, we’ve also seen that the start-ups that opened in 2010 have grown in size by nearly 29 percent, or added 1.2 employees in the four years that the analysis tracked. Additionally the data showed that of the businesses started in 2010, approximately 57 percent of them are still in business. The analysis also found that entrepreneurs tend to favor the restaurant industry when starting a new venture, as 10.6 percent of start-ups were in the food and drink business. Restaurants were followed by personal services, miscellaneous retail, business services and general contractors. Interestingly, the restaurant and personal services industries were also the two with the highest rates of failure at 9.2 percent and 8.1 percent, respectively. Gaining insight into the data and trends of small business start-ups can be extremely beneficial to new entrepreneurs and lenders, alike. On one hand, entrepreneurs can use the data to understand what types of businesses are the most popular, and which are most prone to failure. On the other, lenders can use the data to determine which start-ups present the least amount of risk and when it is most beneficial to market to prospective borrowers. Small businesses are the life blood of the economy, and their continued success is paramount to a well-functioning financial system. With the power of data and insights at their side, lenders can make better decisions when looking to fund new ventures and entrepreneurs become more empowered to take that leap and turn their dreams a reality. Overall, a winning recipe that any restaurant owner can get behind.
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.
The advertising ecosystem has seen significant transformation over the past few years, with increased privacy regulation, changes in available signals, and the rise of channels like connected TV and retail media. These changes are impacting the way that consumers interact with brands and how brands understand and continue to deliver relevant messages to consumers with precision. Experian has been helping marketers navigate these changes, and as a result, our marketing data and identity solutions underpin much of today’s advertising industry. We’re committed to empowering marketers and agencies to understand and reach their target audiences, across all channels. Today, we are excited to announce our acquisition of Audigent—a leading data and activation platform in the advertising industry. With Audigent’s combination of first-party publisher data, inventory and deep supply-side distribution relationships, publishers, big and small, can empower marketers to better understand their customers, expand the reach of their target audiences and activate those audiences across the most impactful inventory. I am excited to bring together Audigent’s supply-side network as a natural extension to our existing demand-side capabilities. Audigent’s ability to combine inventory with targeted audiences using first-party, third-party and contextual signals provides the best of all worlds, allowing marketers to deliver campaigns centered on consumer choices, preferences, and behaviors. The addition of Audigent further strengthens our strategy to be the premier independent provider of marketing data and identity, ultimately creating more relevant experiences for consumers. To learn more about Experian and Audigent, visit https://www.experian.com/marketing/ and https://audigent.com/.
When it comes to cybercriminals and threat vectors, we need to expect the unexpected. Experian’s 12th annual Data Breach Industry Forecast highlights several potential trends for 2025, with AI playing a central role. This year has already seen more data breaches and impacted consumers than 2023, indicating that global data breaches are not slowing down. Some things to watch out for next year includes the potential for more internal fraud. As companies train employees on AI, there is a growing risk that some will misuse their knowledge for internal theft and sourcing sensitive information. Another trend may be cyberattackers targeting large data centers, with the growth of generative AI introducing power as a new attack vector. It’s reported that a single ChatGPT query uses significantly more electricity than a standard Google search, making data centers and cloud infrastructure vulnerable, especially in countries with varying security standards. We expect AI-related attacks to dominate the headlines next year and investments in cybersecurity will increase to tackle this emerging threat, as hackers leverage AI for phishing, password cracking, malware, and deepfakes. Jim Steven, Head of Crisis and Data Response Services at Experian Global Data Breach Resolution in the UK, anticipates that global data breaches will persist at their current rate next year. He notes that ransomware attacks are likely to become even more sophisticated with the integration of AI. Additionally, Steven predicts that threat actors will escalate their tactics to achieve greater rewards, and the misuse of consumer data to damage reputations will increase in 2025. To access the complimentary report, click here.