Telecommunications, Cable & Utilities

As telecommunications providers race to modernize networks, enable 5G, and manage soaring data volumes, they also face unprecedented challenges – from tightening regulations and economic uncertainty to increasing customer churn and fraud. In this climate, artificial intelligence (AI) in telecommunications isn’t just a buzzword; it’s becoming a cornerstone for strategic survival and competitive differentiation. But the promise of AI is only as powerful as the data that fuels it and the decisions it enables. In this blog post, we explore the pressing challenges telecom providers face, including the evolving economic and regulatory landscape, and how Experian’s telecom solutions are uniquely equipped to support telecom leaders using advanced analytics, data-driven decisioning, and fraud prevention solutions. The current state of telecommunications: a perfect storm Telecom providers are under pressure from multiple angles: Shrinking ARPU and rising competition Average Revenue Per User (ARPU) is declining in many regions as price competition increases and Over-the-Top (OTT) services continue to displace traditional service lines. In North America alone, mobile ARPU has dropped by more than 8% in recent years1. Customer experience expectations Modern customers expect seamless digital experiences. Yet, legacy systems and data silos often prevent real-time personalization and service optimization, increasing churn risk2. Regulatory scrutiny and data privacy Telecoms must comply with a complex web of data protection and privacy regulations (GDPR, CCPA, KYC, etc.) while also navigating policies around fair access, net neutrality, and cross-border data flow3. Fraud and credit risk The growing prevalence of synthetic identity fraud and account takeovers demands more robust, intelligent fraud prevention and credit risk strategies, especially in prepaid and postpaid customer segments. In 2023, synthetic identity fraud caused more than $2.6 billion in financial damage globally4. The role of advanced analytics and AI in telecommunications Against this backdrop, AI and telecommunications are becoming increasingly intertwined. By leveraging AI and advanced data analytics, telecom operators can move from reactive to proactive operations. This includes: Churn prediction and mitigation using machine learning. Network optimization through AI-driven traffic forecasting. Fraud detection via real-time anomaly detection models. Credit risk modeling with AI-powered segmentation. However, not all AI solutions deliver the same level of impact. For telecom providers, challenges like fragmented data ecosystems, model governance, and the need for explainable outcomes—especially in highly regulated environments – can limit AI’s full potential. Only Experian can: solving telecom’s data and decisioning challenges This is where Experian stands out. As a trusted leader in data and decisioning, Experian provides telecoms with scalable, regulatory-compliant tools that can help accelerate digital transformation. Purpose-built telecom solutions Our telecom solutions are designed specifically to address sector pain points like fraud, credit risk, and customer churn. Whether you're a traditional mobile network operator (MNO) or a disruptive MVNO, Experian can help you make smarter decisions—faster.'Our telecom solutions are designed specifically to address sector pain points like fraud, credit risk, and customer churn. Whether you're a traditional mobile network operator (MNO) or a disruptive MVNO, Experian can help you make smarter decisions—faster. Advanced analytics expertise Experian helps telecoms harness the power of advanced analytics to make sense of complex, high-volume data. From customer segmentation to behavioral modeling, our tools bring clarity and actionability that unlock new value from existing data. Predictive modeling solutions that drive results With our specialized predictive modeling solutions, telecoms can implement next-best-action strategies across acquisition, onboarding, and retention. These models are tested, explainable, and auditable—ensuring compliance while delivering ROI. Robust fraud and identity capabilities With rising fraud threats including synthetic identity and account takeovers, Experian can deliver AI-enhanced, layered fraud prevention strategies. Our tools detect anomalies in real-time, leveraging fraud analytics and behavior-based risk signals, helping you reduce losses without adding friction to the customer experience. Scalable, future-ready advanced analytics solutions Our full suite of advanced analytics solutions enables telecoms to future-proof their operations, ensuring they stay compliant while innovating faster than competitors. Data-driven innovation: use cases Here’s how telecoms are already seeing ROI with Experian: A leading North American communications company retained 30% of revenue by implementing Experian Optimize to improve the growth and retention of customers. A multichannel media company used Experian’s solutions to drive a customer-focused approach to campaign planning resulting in a 35% increase in customer revenue without increasing marketing spend. A European wireless telecom provider optimized collections allocations, segmenting customers by demographic and behavioral groups to provide a higher rate of reconnections. Results included a 10% increase in net customer value, a 15% increase in balance collected and a 9% increase in collections agency earnings. Navigating what’s next in telecom The future of AI in telecommunications is promising for providers who can bridge the gap between AI aspiration and execution. Telecommunication providers must not only adopt the right technologies but also partner with trusted data stewards who understand the regulatory, economic, and operational landscape. We’re that partner. At Experian, we help telecom leaders go beyond surface-level insights to power meaningful outcomes, whether that’s to drive smarter acquisition, stronger client retention and faster innovation. Our solutions are grounded in trusted data and measurable outcomes. The pressure on telecoms isn’t going away. But with the right AI-powered tools and data-driven strategies, providers can shift from playing defense to leading with innovation. Now is the time to rethink how you approach data, risk, and customer engagement. Ready to see how Experian can help your telecom organization unlock the power of AI and advanced analytics? Explore our telecom solutions or contact an Experian expert to start transforming your strategy today. Learn more Partner with our team

Market volatility, evolving regulations, and shifting consumer expectations are a catalyst to make energy providers to rethink how they operate. Rising energy costs, grid reliability concerns, and the push for sustainable energy sources add layers of complexity to an already challenging landscape. In this environment, data analytics in utilities has become a strategic imperative, enabling companies to optimize operations, mitigate risks, and enhance customer experiences. With a wealth of data at their disposal, utilities must harness the power of utility analytics to transform raw information into actionable intelligence. This is where Experian’s energy and utilities solutions come into play. With an unmatched data reach of more than 1.5 billion consumers and 201 million businesses, we are uniquely positioned to help energy and utility providers unlock greater potential within their organizations, whether that’s by boosting customer engagement, preventing fraud and verifying identities, or optimizing collections. Market Challenges Facing the Utilities Sector Utilities today face a series of economic, regulatory, and operational hurdles that demand innovative solutions. Regulatory and Compliance Pressures: Governments and regulatory bodies are tightening rules around emissions, sustainability, and grid reliability. Utilities must balance compliance with the need for cost efficiency. New carbon reduction mandates and reporting requirements force energy providers to adopt predictive modeling solutions that assess future demand and optimize energy distribution. Economic Uncertainty and Rising Costs: Inflation, fuel price fluctuations, and supply chain disruptions are impacting the cost of delivering energy. Utilities must find ways to improve financial forecasting and reduce inefficiencies—tasks well suited for advanced analytics solutions that optimize asset management and detect cost-saving opportunities. Grid Modernization and Infrastructure Investments: Aging infrastructure and increased energy demand require significant investments in modernization. Data-driven insights help utilities prioritize infrastructure upgrades, preventing costly failures and ensuring reliability. Predictive analytics models play a crucial role in identifying patterns that signal potential grid failures before they occur. Customer Expectations and Energy Transition: Consumers are more engaged than ever, demanding personalized service, real-time billing insights, and renewable energy options. Utilities must leverage advanced analytics to segment customer data, predict energy usage, and offer tailored solutions that align with shifting consumer preferences. Rising Fraud: Account takeover fraud, a form of identity theft where cybercriminals obtain credentials to online accounts, is on the rise in the utility sector. Pacific Gas and Electric Company reported over 26,000 reports of scam attempts in 2024 and has received over 1,700 reports of attempted scams in January 2025 alone. Utility and energy providers must leverage advanced fraud detection and identity verification tools to protect their customers and also their business. How Data Analytics Is Transforming the Utilities Industry Optimizing Revenue and Reducing Fraud Fraud and revenue leakage remain significant challenges. Utilities can use data and modeling to detect anomalies in energy usage, identify fraudulent accounts, and minimize losses. Experian’s predictive modeling solutions enable proactive fraud detection, ensuring financial stability for providers. Enhancing Demand Forecasting and Load Balancing With renewable energy sources fluctuating daily, accurate demand forecasting is critical. By leveraging utility analytics, providers can predict peak demand periods, optimize energy distribution, and reduce waste. Improving Credit Risk and Payment Management Economic uncertainty increases the risk of late or unpaid bills. Experian’s energy and utilities solutions help providers assess creditworthiness and develop more flexible payment plans, reducing bad debt while improving customer satisfaction. Why Experian? The Power of Data-Driven Decision Making Only Experian delivers a comprehensive suite of advanced analytics solutions that help utilities make smarter, faster, and more informed decisions. With more than 25 years of experience in the energy and utility industry, we are your partner of choice. Our predictive analytics models provide real-time risk assessment, fraud detection, and customer insights, ensuring utilities can confidently navigate today’s economic and regulatory challenges. In an industry defined by complexity and change, utilities that fail to leverage data analytics in utilities risk falling behind. From optimizing operations to enhancing customer engagement, the power of utility analytics is undeniable. Now is the time to act. Explore how Experian’s energy and utilities solutions can help your organization harness the power of advanced analytics to navigate market challenges and drive long-term success. Learn more Partner with our team

Whether consumers are shopping for new credit or experiencing financial stress, monitoring their behavior is crucial — even more so in an ever-changing economy. Our latest infographic explores economic trends impacting consumers’ financial behaviors and how Experian’s Risk and Retention TriggersSM enable lenders to detect early signs of risk or churn. Key highlights include: Credit card balances climbed to $1.17 trillion in Q3 2024. As prices of goods and services remain elevated, consumers may continue to experience financial stress, potentially leading to higher delinquency rates. Increasing customer retention rates by 5% can boost profits by 25% to 95%. View the infographic to learn how Risk and Retention Triggers can help you advance your portfolio management strategy. Access infographic

“Learn how to learn.” One of Zack Kass’, AI futurist and one of the keynote speakers at Vision 2024, takeaways readily embodies a sentiment most of us share — particularly here at Vision. Jennifer Schulz, CEO of Experian, North America, talked about AI and transformative technologies of past and present as she kicked off Vision 2024, the 40th Vision. Keynote speaker: Dr. Mohamed El-Erian Dr. Mohamed El-Erian, President of Queens’ College, Cambridge and Chief Economic Advisor at Allianz, returned to the Vision stage to discuss the labor market, “sticky” inflation and the health of consumers. He emphasized the need to embrace and learn how to talk to AI engines and that AI can facilitate content, creation, collaboration and community Keynote speaker: Zack Kass Zack Kass, AI futurist and former Head of Go-To-Market at OpenAI, spoke about the future of work and life and artificial general intelligence. He said AI is aiding in our entering of a superlinear trajectory and compared the thresholds of technology versus those of society. Sessions – Day 1 highlights The conference hall was buzzing with conversations, discussions and thought leadership. Some themes definitely rose to the top — the increasing proliferation of fraud and how to combat it without diminishing the customer experience, leveraging AI and transformative technology in decisioning and how Experian is pioneering the GenAI era in finance and technology. Transformative technologiesAI and emerging technologies are reshaping the finance sector and it's the responsibility of today's industry leaders to equip themselves with cutting-edge strategies and a comprehensive understanding to master the rapidly evolving landscape. That said, transformation is a journey and aligning with a partner that's agile and innovative is critical. Holistic fraud decisioningGenerative AI, a resurgence of bank branch transactions, synthetic identity and pig butchering are all fraud trends that today's organizations must be acutely aware of and armed to protect their businesses and customers against. Leveraging a holistic fraud decisioning strategy is important in finding the balance between customer experience and mitigating fraud. Unlocking cashflow to grow, protect and reduce riskCash flow data can be used not only across the lending lifecycle, but also as part of assessing existing portfolio opportunities. Incorporating consumer-permissioned data into models and processes powers predicatbility and can further assess risk and help score more consumers. Navigating the economyAmid a slowing economy, consumers and businesses continue to struggle with higher interest rates, tighter credit conditions and rising delinquencies, creating a challenging environment for lenders. Experian's experts outlined their latest economic forecasts and provided actionable insights into key consumer and commercial credit trends. More insights from Vision to come. Follow @ExperianVision and @ExperianInsights to see more of the action.

This series will dive into our monthly State of the Economy report, providing a snapshot of the top monthly economic and credit data for those in financial services to proactively shape their business strategies. As we near the end of the first quarter, the U.S. economy has maintained its solid standing. We're also starting to see some easing in a few areas. This month saw a slight uptick in unemployment, slowed spending growth, and a slight increase in annual headline inflation. At the same time, job creation was robust, incomes continued to grow, and annual core inflation cooled. In light of the mixed economic landscape, this month’s upcoming Federal Reserve meeting and their refreshed Summary of Economic Projections should shine some light on what’s in store in the coming months. Data highlights from this month’s report include: Annual headline inflation increased from 3.1% to 3.2%, while annual core inflation cooled from 3.9% to 3.8%. Job creation remained solid, with 275,000 jobs added this month. Unemployment increased to 3.9% from 3.7% three months prior. Mortgage delinquencies rose for accounts (2.3%) and balances (1.8%) in February, contributing to overall delinquencies across product types. Check out our report for a deep dive into the rest of March’s data, including consumer spending, the housing market, and originations. To have a holistic view of our current environment, we must understand our economic past, present, and future. Check out our annual chartbook for a comprehensive view of the past year and download our latest forecasting report for a look at the year ahead. Download March's State of the Economy report  Download latest forecast For more economic trends and market insights, visit Experian Edge.

This series will dive into our monthly State of the Economy report, providing a snapshot of the top monthly economic and credit data for those in financial services to proactively shape their business strategies. In February, economic growth and job creation outperformed economists’ expectations, likely giving confirmation to the Federal Reserve that it remains too early to begin cutting rates. Data highlights from this month’s report include: U.S. real GDP rose 3.3% in Q4 2023, driven by consumer spending and bringing the average annual 2023 growth to 2.5%, the same as the five-year average growth prior to the pandemic. The labor market maintained its strength, with 353,000 jobs added this month and unemployment holding at 3.7% for the third month in a row. Consumer sentiment rose 13% in January, following a 14% increase in December, as consumers are feeling some relief from cooling inflation. Check out our report for a deep dive into the rest of February’s data, including inflation, the latest Federal Reserve announcement, the housing market, and credit card balances. To have a holistic view of our current environment, we must understand our economic past, present, and future. Check out our annual chartbook for a comprehensive view of the past year and register for our upcoming Macroeconomic Forecasting webinar for a look at the year ahead. Download report Register for webinar For more economic trends and market insights, visit Experian Edge.

This article was updated on February 21, 2024. With the rise of technology and data analytics in the financial industry today, it's no longer enough for companies to rely solely on traditional marketing methods. Data-driven marketing insights provide a more sophisticated and comprehensive view of shifting customer preferences and behaviors. With this in mind, this blog post will highlight the importance of data-driven marketing insights, particularly for financial institutions. The importance of data-driven marketing insights 30% of companies say poor data quality is a key challenge to delivering excellent customer experiences. Today’s consumers want personalized experiences built around their individual needs and preferences. Data-driven marketing insights can help marketers meet this demand, but only if it is fresh and accurate. When extending firm credit offers to consumers, lenders must ensure they reach individuals who are both creditworthy and likely to respond. Additionally, their message must be relevant and delivered at the right time and place. Without comprehensive data insights, it can be difficult to gauge whether a consumer is in the market for credit or determine how to best approach them. READ: Case study: Deliver timely and personalized credit offers The benefits of data-driven marketing insights By drawing data-driven marketing insights, you can reach and engage the best customers for your business. This means: Better understanding current and potential customers To increase response and conversion rates, organizations must identify high-propensity consumers and create personalized messaging that resonates. By leveraging customer data that is valid, fresh, and regularly updated, you’ll gain deeper insights into who your customers are, what they’re looking for and how to effectively communicate with them. Additionally, you can analyze the performance of your campaigns and better predict future behaviors. Utilizing technology to manage your customer data With different sources of information, it’s imperative to consolidate and optimize your data to create a single customer view. Using a data-driven technology platform, you can break down data silos by collecting and connecting consumer information across multiple sources and platforms. This way, you can make data available and accessible when and where needed while providing consumers with a cohesive experience across channels and devices. Monitoring the accuracy of your data over time Data is constantly changing, so implementing processes to effectively monitor and control quality over time is crucial. This means leveraging data quality tools that perform regular data cleanses, spot incomplete or duplicated data, and address common data errors. By monitoring the accuracy of your data over time, you can make confident decisions and improve the customer experience. Turning insights into action With data-driven marketing insights, you can level up your campaigns to find the best customers while decreasing time and dollars wasted on unqualified prospects. Visit us to learn more about how data-driven insights can power your marketing initiatives. Learn more Enhance your marketing strategies today This article includes content created by an AI language model and is intended to provide general information.

This article was updated on November 9, 2023. Fraud – it’s a word that comes up in conversations across every industry. While there’s a general awareness that fraud is on the rise and is constantly evolving, for many the full impact of fraud is misunderstood and underestimated. At the heart of this challenge is the tendency to lump different types of fraud together into one big problem, and then look for a single solution that addresses it. It’s as if we’re trying to figure out how to un-bake a terrible cake instead of thinking about the ingredients and the process needed to put them together in the first place. This is the first of a series of articles in which we’ll look at some of the key ingredients that create different types of fraud, including first party, third party, synthetic identity, and account takeover. We’ll talk about why they’re unique and why we need to approach each one differently. At the end of the series, we’ll get a result that’s easier to digest. I had second thoughts about the cake metaphor, but in truth it really works. Creating a good fraud risk management process is a lot like baking. We need to know the ingredients and some tried-and-true methods to get the best result. With that foundation in place, we can look for ways to improve the outcome every time. Let’s start with a look at the best known type of fraud, third party. What is third-party fraud? Third-party fraud – generally known as identity theft – occurs when a malicious actor uses another person’s identifying information to open new accounts without the knowledge of the individual whose information is being used. When you consider first-party vs third-party fraud, or synthetic identity fraud, third-party stands out because it involves an identifiable victim that’s willing to collaborate in the investigation and resolution, for the simple reason that they don’t want to be responsible for the obligation made under their name. Third-party fraud is often the only type of activity that’s classified as fraud by financial institutions. The presence of an identifiable victim creates a high level of certainty that fraud has indeed occurred. That certainty enables financial institutions to properly categorize the losses. Since there is a victim associated with it, third party fraud tends to have a shorter lifespan than other types. When victims become aware of what’s happening, they generally take steps to protect themselves and intervene where they know their identity has been potentially misused. As a result, the timeline for third-party fraud is shorter, with fraudsters acting quickly to maximize the funds they’re able to amass before busting out. How does third-party fraud impact me? As the digital transformation continues, more and more personally identifiable information (PII) is available on the dark web due to data breaches and phishing scams. Given that consumer spending is expected to increase1, we anticipate that the amount of PII readily available to criminals will only continue to grow. All of this will lead to identity theft and increase the risk of third-party fraud. More than $43 billion in total losses was reported due to identity theft and fraud in the U.S. in 2022.2 Solving the third-party fraud problem We’ve examined one part of the fraud problem, and it is a complex one. With Experian as your partner, solving for it isn’t. Continuing my cake metaphor, by following the right steps and including the right ingredients, businesses can detect and prevent fraud. Third-party fraud detection and prevention involves two distinct steps. Analytics: Driven by extensive data that captures the ways in which people present their identity—plus artificial intelligence and machine learning—good analytics can detect inconsistencies, and patterns of usage that are out of character for the person, or similar to past instances of known fraud. Verification: The advantage of dealing with third-party fraud is the availability of a victim that will confirm when fraud is happening. The verification step refers to the process of making contact with the identity owner to obtain that confirmation and may involve identity resolution. It does require some thought and discipline to make sure that the contact information used leads to the identity owner—and not to the fraudster. In a series of articles, we’ll be exploring first-party fraud, synthetic identity fraud, and account takeover fraud and how a layered fraud management solution can help keep your business and customers safe and manage third-party fraud detection, first-party fraud, synthetic identity fraud, and account takeover fraud prevention. Let us know if you’d like to learn more about how Experian is using our identity expertise, data, and analytics to create robust fraud prevention solutions. Contact us 1 Experian Ascend Sandbox 2 2023 U.S. Identity and Fraud Report, Experian.

As the sophistication of fraudulent schemes increases, so must the sophistication of your fraud detection analytics. This is especially important in an uncertain economic environment that breeds opportunities for fraud. It's no longer enough to rely on old techniques that worked in the past. Instead, you need to be plugged into machine learning, artificial intelligence (AI) and real-time monitoring to stay ahead of criminal attempts. Your customers have come to expect cutting-edge security, and fraud analytics is the best way to meet — and surpass — those expectations. Leveraging these analytics can help your business better understand fraud techniques, uncover hidden insights and make more strategic decisions. What is fraud analytics? Fraud analytics refers to the idea of preventing fraud through sophisticated data analysis that utilizes tools like machine learning, data mining and predictive AI.1 These services can analyze patterns and monitor for anomalies that signal fraud attempts.2 While at first glance this may sound like a lot of work, it's necessary in today's technologically savvy culture. Fraud attempts are becoming more sophisticated, and your fraud detection services must do the same to keep up. Why is fraud analytics so important? According to the Experian® 2023 US Identity and Fraud Report, fraud is a growing issue that businesses cannot ignore, especially in an environment where economic uncertainty provides a breeding ground for fraudsters. Last year alone, consumers lost $8.8 billion — an increase of 30 percent over the previous year. Understandably, nearly two-thirds of consumers are at least somewhat concerned about online security. Their worries range from authorized push payment scams (such as phishing emails) to online privacy, identity theft and stolen credit cards. Unfortunately, while 75 percent of surveyed businesses feel confident in protecting against fraud, only 45 percent understand how fraud impacts their business. There's a lot of unearned confidence out there that can leave businesses vulnerable to attack, especially with nearly 70 percent of businesses admitting an increase in fraud loss in recent years. The types of fraud that businesses most frequently encounter include: Authorized push payment fraud: Phishing emails and other schemes that persuade consumers to deposit funds into fraudulent accounts. Transactional payment fraud: When fraudulent actors steal credit card or bank account information, for example, to make unauthorized payments. Account takeover: When a fraudster gains access to an account that doesn't belong to them and changes login details to make unauthorized transactions. First-party fraud: When an account holder uses their own account to commit fraud, like misrepresenting their income to get a lower loan rate. Identity theft: Any time a person's private information is used to steal their identity. Synthetic identity theft: When someone combines real and fake personal data to create an identity that's used to commit fraud. How can fraud analytics be used to help your business? More than 85% of consumers expect businesses to respond to their security and fraud concerns. A good portion of them (67 percent) are even ready to share their personal data with trusted sources to help make that happen. This means that investing in risk and fraud analytics is not only vital for keeping your business and customer data secure, but it will score points with your consumers as well. So how can your business utilize fraud analytics? Machine learning is a great place to start. Rather than relying on outdated rules-based analytic models, machine learning can vastly increase your speed in identifying fraud attempts. This means that when a new fraudulent trend emerges, your machine learning software can pinpoint it fast and flag your security team. Machine learning also lets you automatically analyze large data sets across your entire customer portfolio, improving customer experiences and your response time. In general, the best way for your business to use fraud analytics is by utilizing a multi-layered approach, such as the robust fraud management solutions offered by Experian. Instead of a one-size-fits-all solution, Experian lets you customize a framework of physical and digital data security that matches your business needs. This framework includes a cloud-based platform, machine learning for streamlined data analytics, biometrics and other robust identity-authentication tools, real-time alerts and end-to-end integration. How Experian can help Experian's platform of fraud prevention solutions and advanced data analytics allows you to be at the forefront of fraud detection. The platform includes options such as: Account takeover prevention. Account takeovers can go unnoticed without strong fraud detection. Experian's account takeover prevention tools automatically flag and monitor unusual activities, increase efficiency and can be quickly modified to adapt to the latest technologies. Bust-out fraud prevention. Experian utilizes proactive monitoring and early detection via machine learning to prevent bust-out fraud. Access to premium credit data helps enhance detection.  Commercial entity fraud prevention. Experian's Sentinel fraud solutions blend consumer and business datasets to create predictive insights on business legitimacy and credit abuse likelihood. First-party fraud prevention. Experian's first-party fraud prevention tools review millions of transactions to detect patterns, using machine learning to monitor credit data and observations. Global data breach protection. Experian also offers data breach protection services, helping you use turnkey solutions to build a program of customer notifications and identity protection. Identity protection. Experian offers identity protection tools that deliver a consistent brand experience across touchpoints and devices. Risk-based authentication. Minimize risk with Experian's adaptive risk-based authentication tools. These tools use front- and back-end authentication to optimize cost, risk management and customer experience. Synthetic identity fraud protection. Synthetic identity fraud protection guards against the fastest-growing financial crimes. Automated detection rules evaluate behavior and isolate traits to reduce false positives. Third-party fraud prevention. Experian utilizes third-party prevention analytics to identify potential identity theft and keep your customers secure. Your business's fraud analytics system needs to increase in sophistication faster than fraudsters are fine-tuning their own approaches. Experian's robust analytics solutions utilize extensive consumer and commercial data that can be customized to your business's unique security needs. Experian can help secure your business from fraud Experian is committed to helping you optimize your fraud analytics. Find out today how our fraud management solutions can help you. Learn more 1 Pressley, J.P. "Why Banks Are Using Advanced Analytics for Faster Fraud Detection," BizTech, July 25, 2023. https://biztechmagazine.com/article/2023/07/why-banks-are-using-advanced-analytics-faster-fraud-detection 2 Coe, Martin and Melton, Olivia. "Fraud Basics," Fraud Magazine, March/April 2022. https://www.fraud-magazine.com/article.aspx?id=4295017143

In today’s fast-paced world, the telecommunications industry is not just about connecting calls or sending messages. It’s about creating seamless digital experiences, especially when onboarding new customers. However, with the rise of digital services, the industry faces an increasing challenge: the need to mitigate fraud while streamlining the onboarding process.  The digital onboarding revolution Digital onboarding has transformed the way customers join telecommunications services. No longer are people required to visit a physical store or wait for lengthy paperwork. Instead, they can sign up for mobile, internet or TV services from the comfort of their homes, often within minutes. The convenience, however, has opened new doors for fraudsters. As the onboarding process happens online, the risk of identity theft, synthetic identity fraud and other fraudulent activities has surged. So, how can telecom companies provide fritctionless experiences while keeping fraud at bay? Mitigating fraud in telecommunications onboarding Know your customer (KYC) verification: Implement robust KYC solutions to verify the identity of new customers. This may include identity document checks, facial recognition or biometric authentication. Device and location data; and velocity: Analyze the device and location data of applicants. Does the device match the customer’s claimed location? Unusual patterns could signal potential fraud.  Behavioral analysis: Monitor user behavior during the onboarding process. Frequent changes in information or suspicious browsing activity may indicate fraudulent intent.   Machine learning (ML) and artificial intelligence (AI): Leverage AI/ML algorithms to detect patterns and anomalies humans might miss. These technologies can adapt and evolve to stay ahead of fraudsters.   Document verification: Use document verification services to ensure that documents provided by customers are genuine. This can include checks for altered or forged documents. Industry data sharing–consortia: Collaborate with industry databases and share fraud-related information to help identify applicants with a history of fraudulent activity or reveal patterns. The balancing act While it’s crucial to mitigate fraud, telecommunication companies must strike a balance between security and a seamless onboarding experience. Customers demand a hassle-free process, and overly stringent security measures can deter potential subscribers. By combining advanced technology, behavioral analysis and proactive fraud prevention strategies, telecom companies can create a secure digital onboarding journey that minimizes risk without compromising user experience. In doing so, they empower customers to embrace the convenience of digital services while staying one step ahead of fraudsters in today’s interconnected world.  Learn more about Experian and the telecom industry Learn more about our fraud and identity solutions

You walk into your home, flick the light switch, head to the fridge and grab a glass of cold water. Suddenly, you feel a chill and turn the thermostat up.  These habitual acts are basic, but fundamental to our lives. Unfortunately, not everyone has equal access to such luxuries. There is a substantial amount of people who are impacted by heavy energy burdens.   What is an energy burden?  An energy burden is the percentage of gross household income that goes towards energy costs. Two families can have similar energy bills, but different household incomes. Like many other industries, the utility sector is shifting its’ focus toward equitable outcomes and establishing and implementing effective efficiency programs.    Who do energy burdens impact?  Due to the energy burden, many communities of color have been historically underserved by energy efficiency and clean energy programs. The energy burden can also impact those who rent, have less efficient appliances or live in older homes.  According to the U.S. Census Bureau, as of August, 2022, 23.1% of U.S. adults lived in households that were unable to pay an energy bill in the last 12 months. Additionally, The American Council for Energy-Efficient Economy (ACEE) found that low-income Black, Hispanic and Native American households face dramatically higher energy burdens than average. How can Experian be a partner for energy equity?   As the “Consumer’s Bureau,” Experian is deeply committed to putting consumers’ best interests first as we make key decisions to support our clients. Like the energy industry, Experian wants to lessen the energy burden for underserved and low-income communities. This is a business of critical consequence, and we are focused on helping our clients accelerate progress and equity within the communities they serve. As we navigate along this inclusion journey together, we can assist with three core areas:  Measure and track: Understand geographies and audience segments containing the largest opportunities for inclusion within the communities you serve. Benchmark and track progress towards your internal diversity and inclusion goals. Determine who qualifies for energy efficiency programs by getting a more accurate view of the communities you serve. Include and reach: By incorporating supplementary data sources, we can help you identify and reach underserved consumers and small business owners who are often excluded from the traditional credit ecosystem. Inform and empower: Develop and educate vulnerable populations, offering the tools and support needed to advance their financial health journey. Enabling your consumers to obtain the assistance they need.  By leveraging our leading data assets, businesses can obtain a more holistic consumer view to drive better outcomes and opportunities while making smarter decisions and minimizing risk. With accurate data you can effectively prioritize field work, get correct assessment of household income, increase productivity of field personnel, and improve field collection rates. We care about doing the right thing and are here to ensure you meet your energy efficiency and equity goals. Together, we can make a positive impact on our communities and consumers.    To learn more about how Experian is helping the utility industry drive inclusion and bring equity to energy, visit us or request a call. Access the infographic Energy Burden Research. Aceee.org. (2022). Household Pulse Survey. Census.gov. (2022). Low-Income Households, Communities of Color Face High Energy. Aceee.org. (2022). Experian and Oliver Wyman find expanded data and advanced analytics can improve access to credit. Experian plc. (2022).

External fraud generally results from deceptive activity intended to produce financial gain that is carried out by an individual, a group of people or an entire organization. Fraudsters may prey on any organization or individual, regardless of the size or nature of their activities. The tactics used are becoming increasingly sophisticated, requiring a multilayered fraud mitigation strategy. Fraud mitigation involves using tools to reduce the frequency or severity of these risks, ultimately protecting the bottom line and the future of the organization. Fraud impacts the bottom line and so much more According to the Federal Trade Commission, consumers reported losing more than $10 billion to fraud in 2023, a 14% increase over the previous year and the highest dollar amount ever reported. These costs extend beyond the face value of the theft to include fees and interest incurred, fines and legal fees, labor and investigation costs and external recovery expenses. Aside from dollar losses and direct costs, fraud can also pose legal risks that lead to fines and other legal actions and diminish credibility with regulators. Word of deceptive activities can also create risk for the brand and reputation. These factors can, in turn, result in a loss of market confidence, making it difficult to retain clients and engage new business. Leveraging fraud mitigation best practices As the future unfolds, three things are fairly certain: 1) The future is likely to bring more technological advances and, thereby, new ways of working and creating. 2) Fraudsters will continue to look for ways to exploit those opportunities. 3) The future is here, today. Organizations that want to remain competitive in the digital economy should make fraud mitigation and prevention an integral part of their operational strategy. Assess the risk environment While enhancing revenue opportunities, the global digital economy has increased the complexity of risk management. Be aware of situations that require people to enforce fraud risk policies. While informed, experienced people are powerful resources, it is important to automate routine decisions where you can and leverage people on the most challenging cases. It is also critical to consider that not every fraud risk aligns directly to losses. Consider touchpoints where information can be exposed that will later be used to commit fraud. Information that crooks attempt to glean from idle chatter during a customer service call can be a source of unexpected vulnerability. These activities can benefit from greater transparency and automated oversight. Create a tactical plan to prevent and handle fraud Leverage analytics wherever possible to streamline decisions and choose the right level of friction that’s appropriate for the risk, and palatable for good customers. Consumers and small businesses have come to expect a customized and frictionless experience. Employee productivity, and ultimately revenue growth, requires the ability to operate with speed and informed confidence. A viable fraud mitigation strategy should incorporate these goals seamlessly with operational objectives. If not, prevention and mitigation controls may be sidelined to get legitimate business done, creating inroads for fraudsters. Look for a partner who can apply the right friction to situations depending on your risk appetite and use existing data (including your internal data and their own data resources) to better identify individual consumers. This identification process can actually smooth the way for known consumers while providing the right protection against fraudsters and giving consumers who are new to your organization a sense of safety and security when logging in for the first time. It's equally important that everyone in your organization is working together to prevent fraud. Establish and document best practices and controls, beginning with fostering a workplace culture in which fraud mitigation is part of everyone's job. Empower and train all staff to identify and report suspicious activity and ensure they know how to raise concerns. Consider implementing ways to encourage open and swift communication, such as anonymous or confidential reporting channels. Stay vigilant and tap into resources for managing risks It is likely impossible to think of every threat your organization might face. Instead, think of fraud mitigation as an ongoing process to identify and isolate any suspected fraud fast — before the activity can develop into a major threat to the bottom line — and manage any fallout. Incorporating technology and robust data collection can fortify governance best practices. Technology can also help you perform the due diligence faster, ensuring compliance with Know Your Customer (KYC) and other regulations. As necessary, work with risk assessment consultants to get an objective, experienced view.  Learn more about fraud risk mitigation and fraud prevention services. Learn more  

Previously, the Global Identity and Fraud Report called for businesses to meet consumer expectations for online recognition and security while improving the digital experience. Organizations have answered this call with investments and new initiatives, but the fraud risk persists and consumers are relying on businesses to protect them. In our latest report, we explore the issues associated with siloed recognition processes, consumer expectations and preferences, and effective risk strategies.   We surveyed more than 6,000 consumers and 1,800 businesses worldwide about this connection for our 2022 Global Identity and Fraud Report.   This year’s report dives into:   How online security yields engagement and trust with today’s digital consumers The role of businesses in protecting online consumers, and the associated benefits The current opportunity for businesses to implement multiple identity and fraud solutions The role that orchestration and outsourcing play in helping companies prevent fraud   To earn consumer trust and loyalty, organizations need to leverage automated solutions to identify and protect consumers across their online journeys while providing seamless recognition and low-friction fraud prevention with a robust and flexible fraud platform. To learn more about our findings and how to implement an effective solution, download Experian’s 2022 Global Identity and Fraud Report. Read the report Review your fraud strategy

Many financial institutions have made inclusion a strategic priority to expand their reach and help more U.S. consumers access affordable financial services. To drive deeper understanding, Experian commissioned Forrester to do new research to identify key focal points for firms and how they are moving the needle. The study found that more than two-thirds of institutions had a strategy created and implemented while one-quarter reported they are already up and running with their inclusion plans.1 Tapping into the underserved The research examines the importance of engaging new audiences such as those that are new to credit, lower-income, thin file, unbanked and underbanked as well as small businesses. To tap into these areas, the study outlines the need to develop new products and services, adopt willingness to change policies and processes, and use more data to drive better decisions and reach.2 Expanded data for improved risk decisioning The research underlines the use of alternative data and emerging technologies to expand reach to new audiences and assist many who have been underserved. In fact, sixty-two percent of financial institutions surveyed reported they currently use or are planning to use expanded data to improve risk profiling and credit decisions, with focus on: Banking data Cash flow data Employment verification data Asset, investments, and wealth management data Alternative financial services data Telcom and utility data3 Join us to learn more at our free webinar “Reaching New Heights Together with Financial Inclusion” where detailed research and related tools will be shared featuring Forrester’s principal analyst on Tuesday, May 24 from 10 – 11 a.m. PT. Register here for more information. Find more financial inclusion resources at www.experian.com/inclusionforward. Register for webinar Visit us 1 Based on Forrester research 2 Ibid. 3 Ibid.

Credit plays a vital role in the lives of consumers and helps them meet important milestones – like getting a car and buying their own home. Unfortunately, not every creditworthy individual has equal access to financial services. In fact, 28 million adult Americans are credit invisible and another 21 million are considered unscorable.1 By leveraging expanded data sources, you can gain a more complete view of creditworthiness, make better decisions and empower consumers to more easily access financial opportunities. The state of credit access Credit is part of your financial power and helps you get the things you need. So, why are certain consumers excluded from the credit economy? There’s a host of reasons. They might have limited or no credit history, have dated or negative information within their credit file or be part of a historically disadvantaged group. For example, almost 30% of consumers in low-income neighborhoods are credit invisible and African and Hispanic Americans are less likely than White Americans to have access to mainstream financial services.2 By gaining further insight into consumer risk, you can facilitate first and second chances for borrowers who are increasingly being shut out of traditional credit offerings. Greater data, greater insights, greater growth Expanding access to credit benefits consumers and lenders alike. With a bigger pool of qualified applicants, you can grow your portfolio and help your community. The trick is doing so while continuing to mitigate risk – enter expanded data. Expanded data includes non-credit payments, demand deposit account (DDA) transactions, professional certifications, and foreign credit history, among other things. Using these data sources can drive greater visibility and transparency around inquiry and payment behaviors, enrich decisions across the entire customer lifecycle and allow lenders to better meet the financial needs of their current and future customers. Read our latest white paper for more insight into the vital role credit plays within our society and how you can increase financial access and opportunities in the communities you serve. Download now 1Data based on Oliver Wyman analysis using a random sample of consumers with Experian credit bureau records as of September 2020. Consumers are considered ‘credit invisible’ when they have no mainstream credit file at the credit bureaus and ‘unscorable’ when they have partial information in their mainstream credit file, but not enough to generate a conventional credit score. 2Credit Invisibles, The CFPB Office of Research, May 2015.