All posts by Craig Wilson
This is the final part of a three part series of blog posts highlighting key focus areas for your response to the COVID-19 health crisis: Risk, Operations, Consumer Behavior, and Reporting and Compliance. For more information and the latest resources, please visit Look Ahead 2020, Experian’s COVID-19 resource center with the latest news and tools for our business partners as well as links to consumer resources and a risk simulator. To read the first post, click here. To read the second post, click here. Consumer Behavior Changes Consumers will be hit hard by the economic fallout from the virus. They’ll need to manage available credit and monthly income to bridge the gap when many people are faced with lost wages, tips and the ability to work. Often, the only way to monitor these short-term risks is with trended credit attributes, from both traditional and alternative data sources. These attributes were developed to provide additional insights into how consumer credit usage is trending over time. Is their debt and spending increasing? Have their credit lines been reduced? Have they historically been a transactor but have now started revolving balances? Could the account be a synthetic identity, set up for intentional misuse of credit? The most predictive attributes available in these times can transform how you can identify and respond to risk. Reporting and Compliance The regulatory environment is continuing to shift. There are continuous changes to compliance in the digital space for emerging channels and applications. There will be impacts to credit reporting and processes that may echo the response from other major natural disasters. The good news is that the framework developed for Comprehensive Capital Analysis and Review (CCAR) stress testing can be used to run scenarios and understand impacts. Although bank capital is very strong, additional regulation, such as the Current Expected Credit Losses (CECL), with all the latest shifts around compliance, may continue to increase the pressure on financial institutions. Having an adaptable process to forecast and stress-test scenarios to adjust capital requirements, especially in light of government fiscal and monetary stimulus measures, will be at the core of managing financial stability during a period of changes. Conclusion We need to brace for the pending recession after the longest economic expansion in our lifetimes. These are the times where organizations may struggle to survive or thrive in the face of adversity. This is the time to act on your strategic plan, lean on your strategic partners, and leverage industry leading data and capabilities to soften the landing and thrive in the next phase of growth. Let’s prepare and get through this, together. Learn More
This is the second of a three part series of blog posts highlighting key focus areas for your response to the COVID-19 health crisis: Risk, Operations, Consumer Behavior, and Reporting and Compliance. For more information and the latest resources, please visit Look Ahead 2020, Experian’s COVID-19 resource center with the latest news and tools for our business partners as well as links to consumer resources and a risk simulator. To read the introductory post, click here. Strategic Focus on Risk The last recession spurred an industry-wide systemic focus on stressed scenario forecasting. Now’s the time to evaluate the medium- to long-term impacts of the downturn response on portfolio risk measurement. The impact will be wide ranging, requiring recalibration of scorecards and underwriting processes and challenging assumptions related to fees, net interest income, losses, expenses and liquidity. There are critical inputs to understand portfolio monitoring and benchmarking by account types and segments. Higher unemployment across the country is likely. You need a thorough response to successfully navigate the emerging risks. Expanding credit line management efforts for existing accounts is critical. Proactively responding to the needs of your customers will demand a wide range of data and analytics and more frequent and active processes to take action. Current approaches and tools with increased automation may need to be reevaluated. When sudden economic shocks occur, statistical models may still rank-order effectively, while the odds-to-score relationships deteriorate. This is the time to take full advantage of explainable machine learning techniques to quickly calibrate or rebuild scorecards with refreshed data (traditional and alternative) and continue the learning cycle. As your risk management tools are evaluated and refreshed, there are many opportunities to target your servicing strategies where they can produce results. This may take the form of identifying segments exhibiting financial stress that can benefit from deferred payments, loan consolidation or refinancing. It might also involve more typical risk mitigation strategies, such as credit line reduction. There are several scenarios that may emerge over the next nine to 12 months that can offer opportunities to deepen relationships with your customers while managing long-term risk exposure. Optimizing Business Operations One of the most significant impacts to your business is the increase in transaction volumes as a result of the economic shock. We expect material increases in collections, refinancing and hardship programs. These increases are arriving at a time when many businesses have streamlined their teams in concert with periods of low delinquency and credit losses. Additional strain from call center shutdowns and limited staffing can easily overwhelm operations and cause business continuity plans to breakdown. More than ever, the use of digital channels and self-servicing technology are no longer nice-to-haves. Customers expect online access, and efficiency demands automation, including virtual assistants. As more volume migrates to these channels, it’s critical to have the right customer experience and fraud risk controls deployed through flexible, cloud-based systems. Learn More
This is the introduction to a series of blog posts highlighting key focus areas for your response to the COVID-19 health crisis: Risk, Operations, Consumer Behavior, and Reporting and Compliance. For more information and the latest resources, please visit Look Ahead 2020, Experian\'s COVID-19 resource center with the latest news and tools for our business partners as well as links to consumer resources and a risk simulator. Responding to COVID-19 The response to COVID-19 is rolling out across the global financial system and here in North America. Together, we’re adapting to working remotely and adjusting to our “new normal.” It seems the long forecasted economic recession is finally and abruptly on our doorstep. Recession planning has been a focus for many organizations, and it’s now time to act on these contingency plans and respond to the downturn. The immediate effects and those that quickly follow the pandemic will widely impact the economy, affecting businesses of all sizes, employment and consumer confidence. We learned from the housing crisis and Great Recession how to identify and adapt to emerging risks. We can apply those skills while rebuilding the economy and focusing on the consumer. How should you respond? What strategies should you deploy? How can you balance emerging risks, changing consumer expectations and regulatory impacts? First, let\'s draw upon the best knowledge we gained from the last recession and apply those learnings. Second, we need to understand the current environment including the impact of major changes in technology and consumer behavior over the last few years. This approach will allow us to identify key themes to help build-out strategies to focus resources, respond successfully and deliver for stakeholders. Anticipate the pervasive and highly impactful market dynamics and trends The impact of this downturn on the consumer, on businesses and on financial institutions will be very different to that of the Great Recession. There will be a complete loss of income for many workers and small businesses. In a survey conducted by the Center for Financial Services Innovation (CFSI), more than 112 million Americans said that they don’t have enough savings to cover three months of living expenses*. These volatile market conditions and consumer insecurity will cause changes to your business models. You must prepare to manage increased fraud attacks, continue to push toward digital banking and understand regulatory changes. Learn More *U.S. Financial Health Pulse, 2018 Baseline Survey Results. https://s3.amazonaws.com/cfsi-innovation-files-2018/ wp-content/uploads/2018/11/20213012/Pulse-2018- Baseline-Survey-Results-11-16.18.pdf
Today’s consumer lending environment is more dynamic and competitive than ever, with renewed focus on personal loans, marketplace lending and the ever-challenging credit card market. One of the significant learnings from the economic crisis is how digging deeper into consumer credit data can help provide insights into trending behavior and not just point-in-time credit evaluation. For example, I’ve found consumer trending behavior to be very powerful when evaluating risks of credit card revolvers versus transactors. However, trended data can come with its own challenges when the data isn’t interpreted uniformly across multiple data sources. To address these challenges, Experian® has developed trended attributes, which can provide significant lift in the development of segmentation strategies and custom models. These Trended 3DTM attributes are used effectively across the life cycle to drive balance transfers, mitigate high-risk exposure and fine-tune strategies for customers near score cutoffs. One of the things I look for when exploring new trended data is the ability to further understand payment velocity. These characteristics go far beyond revolver and transactor flags, and into the details of consumer usage and trajectory. As illustrated in the chart, a consumer isn’t easily classified into one borrowing persona (revolver, transactor, etc.) or another — it’s a spectrum of use trends. Experian’s Trended 3D provides details needed to understand payment rates, slope of balance growth and even trends in delinquency. These trends provide strong lift across all decisioning strategies to improve your business performance. In recent engagements with lenders, new segmentation tools and data for the development of custom models is at the forefront of the conversation. Risk managers are looking for help leveraging new modeling techniques such as machine learning, but often have challenges moving from prior practices. In addition, attribute governance has been a key area of focus that is addressed with Trended 3D, as it was developed using machine learning techniques and is delivered with the necessary documentation for regulatory conformance. This provides an impressive foundation, allowing you to integrate the most advanced analytics into your credit decisioning. Alternative data isn’t the only source for new consumer insights. Looking at the traditional credit report can still provide so much insight; we simply need to take advantage of new techniques in analytics development. Trended attributes provide a high-definition lens that opens a world of opportunity.
Are you ready to launch a new product to capture the revenue growth opportunities in today’s market? The competition is heating up for new growth, as banks increased personal loan balances by 10 percent year-over-year in 2015 and another 6 percent in 2016.* Many lenders are now looking for robust data to understand the market opportunity based on their risk appetite. This challenge usually takes a significant investment in consumer credit data to gain the necessary insights. In helping lenders launch new products, I’ve found there are common areas of focus and specific steps you must take to move from the initial business case to more tactical planning. The following details come to mind: refining risk thresholds, pricing, loss forecasting and use of models within the initial go-to-market strategy. These project tasks can’t be successfully completed without having the right breadth and depth of data available. Knowing the past can help you create a better future for your business. When I start working with a client on a new product launch, I want to ensure they have sufficient data that can provide a comprehensive historical consumer view. In my experience, the best data to use will show an exhaustive view of consumer behaviors through the economic cycle. Having this large volume of data enables me to evaluate the business strategy and risks through the financial crisis while also giving my clients the foundation for compliance with loss forecasting regulations. Obtaining this breadth of data often can be a significant, but necessary, investment. Data is a great starting point, but it isn’t enough. Understanding the data sufficiently to design an effective go-to-market strategy is critical for success. I’ve found that identifying specific attributes helps give my clients a deep dive into the structure of a consumer’s credit history at the trade level. This level of information provides insight into the structure of the consumer’s wallet and preferences. Additionally, this depth of data allows my clients to develop powerful custom models for use in their business strategy. Being prepared is half the victory. Having comprehensive data that will help you understand consumer spending behavior and the risk they carry through the economic cycle will assist in creating a successful go-to-market strategy. Our Market Entry ServicesTM data sets are analytics-ready, including attributes and performance flags, to give you a holistic view of your target market. Having this breadth and depth of data, along with strong tactical planning and execution, will ensure your success in launching new products and entering new markets. *Experian–Oliver Wyman Market Intelligence Report
Utilities have continued to evolve and are making better, faster decisions about customers signing up for new services. A combination of best practices with respect to data, analytics and technology is driving efficiency, lowering costs and ensuring all customers are treated equally. We will discuss three main areas where utilities have made significant advances: • Customer pinning — loss reduction by using match logic to identify consumers across different systems and platforms who may have existing past due amounts • Scoring — using specific models for risk segmentation to assist in the deposit decision • Decisioning — choosing systems with capabilities for effectively managing their business at the relationship level and is capable of using “pins” to automatically identifying customers who have past due amounts and using scores and other data to automate the deposit decision Customer Pinning Using customer pins in the account opening process is key to ensuring you are able to effectively identify consumers who are re-initiating service and may have unpaid balances. This enables you to identify the opportunity to consolidate past-due amounts before connecting new service for the consumer. It may also be used in the determination as to whether or not a deposit may be required. Clients see advantages with this process most often when consumers move out of and then back into a particular service market. Another case is when a customer changes their name as a result of marriage or divorce or is added to other existing billings. These customer pins or unique identifiers can be updated in batch in order to maintain the integrity of the account linking within your accounts receivable. Clients then ensure that with the account opening process the pin on the customer opening the account is retrieved from the consumer credit file system, then “matched” with a pin in the existing customer file that was obtained through the batch process. It can then be determined whether that customer owes an unpaid balance from a prior account. For optimal efficiency, this should be done by the same decisioning system that is performing the identity verification and deposit calculation for the account in a continuous workflow. Scoring and Deposits Increasingly, utilities are being authorized to use scores and credit data along with existing unpaid balances to determine if a deposit is warranted. If a score is used, generally a simple cut-off is used and if a score falls below the cut off a deposit is required, otherwise it is not. There are many types of scores in the market, but some have been developed specifically for use by energy utilities and similar service providers for the purpose of deposit determination. One of the characteristics to look for in a score for deposit determinations is the number of customers that can be scored. Generally, the more customers that can be scored the better as there may be many customers with thin or virtually no credit files that would be unscoreable using a traditional scoring model. Specific bureau attributes may enhance this process when scores are near cut offs, especially if a score falls slightly below the cut off. A decision engine may be able to use attributes to assist in supplying valuable data in a second review that may be requested by a customer who feels that they should not need to submit a deposit. Decisioning Platform Deploying new strategies to capture all the benefits of automating a fraud review, taking advantage of the custom pinning process, scoring and other attributes can be a challenge. However, the market has continued to evolve to enable large and small utilities to gain access to new tools to more effectively manage their business. There are now new solutions available, like PowerCurve OnDemand, that provide hosted data integration, incorporation of your existing customer files including pin numbers, workflow, decisioning and a simple integration with your existing technologies at a low cost of entry. Solutions like PowerCurve OnDemand combine ease of use, with powerful capabilities that are targeted to fit the needs of the utility industry. Learn more about how PowerCurve OnDemand can help your business.
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