Tag: covid-19

I recently had the opportunity to talk to Christian Hubbs and Muhammed Shuaibi from Artificially Intelligent Podcast about the value AI and analytics generate for businesses. We reviewed how a growing number of businesses are seeing a lot of value added in terms of problem-solving when they bring in more sophisticated machine learning models and technology.  The conversation quickly pivoted towards how to determine the analytics and AI that better suit your business needs, as well as understanding what is required to operationalize those promising models. Think of performance, scalability, adoption and trust before embarking on your AI journey Ensuring that AI is right for your business requires a holistic approach, which is fundamentally based on four components:   AI Performance – selecting and framing problems, with a view to demonstrate that what you build outperform traditional methods.  AI Scalability - what starts as an experiment conducted by data scientists needs to be turned into a scalable system that truly impacts the business.   AI Adoption – ensuring that your AI and analytics are embraced and used by consumers and businesses and, ultimately, change the way they make decisions.  AI Trust – explaining decisions in a transparent way so the models and systems you build can be trusted, explainable and stand the test and scrutiny of regulators. Leveraging an outcome-based approach to solve COVID-19 related business challenges At Experian, we are applying this holistic approach to identify and address the most pressing concerns our clients are dealing within the context of COVID-19. The first is helping our clients understand what’s currently happening with different customer segments. We’re creating tools that bring together a series of early warnings and indicators and portraying how different customer segments are seeing various patterns in credit. We’re also identifying those most affected or needing concessions around lending, and understanding what banks are doing in terms of forbearance. Our priority is identifying these needs and quickly get the relevant AI and analytical solutions to our clients.  We are expecting to see a later urge in the industry to recalibrate existing models and to expand the type and volume of decisions they can make. Updating and monitoring them will be also a big area of focus over the next couple of years.  Listen to the podcast

Over the past couple of months, every business, regardless of industry, has had to quickly find its bearings. This level of disruption is unprecedented; we may never see anything of this magnitude again in our lifetime. While urgent, the immediate needs created in the wake of the global pandemic shouldn’t be met with one-and-done solutions. It’s imperative that the solutions you offer not only enable your customers to manage the immediate crisis but also help you support them as they assimilate into the “new normal.” There’s therefore this added pressure for businesses to equip their teams with the necessary tools and knowledge to continue serving customers in a dynamic environment. It doesn’t take long to get left behind with new solutions, and new challenges, emerging on a regular basis. You have to keep up with the times so you can adapt your response to whatever is necessary and retain your value to your customers. How do you upskill your teams when traditional training is not an option? As Plato put it well before the Covid-19 pandemic turned our world upside down, a need or problem encourages creative efforts to overcome the challenge it presents. Recent research shows that companies that may have deferred their intended investment in training, are now resuming that commitment in order to meet new demands in this increasingly digital ecosystem: In an ILX Group survey, 51 percent of HR decision-makers said that ongoing digital learning has a direct effect on boosting employee morale, satisfaction, and longevity. ​ A study published in the Journal of Applied Psychology found that microlearning makes learning 17 percent more effective, and Software Advice reports that microlearning engages over 50 percent of participants. ​ A study conducted by Brandon Hall found that digital learning requires 40 to 60 percent less employee time than classroom training. ​ The Research Institute of America reports that learning retention rates improve from 8 to 10 percent for face-to-face training to 25 to 60 percent for digital learning. ​ IBM research found that for every dollar you invest in digital learning, the result is $30 in productivity, mostly because employees save a lot of time through online learning and are able to resume work and apply the new skills faster. ​ Taking advantage of technology to make knowledge accessible at the point of need As with the majority of our day-to-day activities, learning solutions now must be facilitated outside of a physical environment, such as the workplace or classroom. Having access to digital knowledge and training resources gives your teams enhanced flexibility to keep their skills up to date at their own pace, whether they are at home or in the office. Over the years, we’ve seen that offering learners training in multiple formats improves the overall success of the training, including enabling greater flexibility – offering different modalities is more likely to meet learner’s preferences - work clarity and job satisfaction. While your business may still be operating in a fog of uncertainty, ensuring access to the right tools and knowledge would give your team higher confidence in their ability to be of service, minimizing business disruption during this turbulent time.

The speed at which the world is feeling the impact of Covid-19 is unparalleled. Because of this customer affordability has shifted into the unknown and businesses are trying to react quickly to assess customer risk in a brand-new context, albeit a temporary one. We look at the five key areas businesses should be considering when it comes to customer affordability. 1. Looking to insights The last financial crisis taught us that the first line of defense for many organizations, large and small, is to move straight into proactive debt restructuring to reduce the volume of customers who would otherwise fall immediately into debt collection. This crisis is no different, but identifying those in hardship, restructuring debt at speed, and in line with restricted policies are where businesses should be focusing to successfully tackle this. 2. Keeping regulators front of mind As a result of the last downturn, many financial regulators are placing a much higher weight of responsibility on lenders to make fair and transparent lending decisions when it comes to affordability. Not just when it comes to new lending, but also how they act and behave within collections. These rules are not going to be relaxed, so it’s important that businesses continue to prove that they remain compliant. 3. Predicting what’s to come Anticipating arrears before they happen, and at speed, is fundamental to managing the restructure of debt effectively. Especially where traditional data sources provide less predictive value. For businesses without advanced and automated debt restructure or collections-based program to begin with, this is an opportunity to develop something that will carry them through this time of crisis and beyond. 4. Harnessing analytics and AI Thinking predictively means getting the right analytical capabilities or models in place, ideally harnessing Machine Learning and AI to get the fastest and best results. For larger organizations, this will mean having the agility to rapidly update and deploy existing models, and for the less mature, it will mean building this from the ground up (but quickly). Businesses will undoubtedly see their analytics teams overstretched during this period, so now is the time to reduce the manual load and invest in these capabilities. 5. Automation for demand control Making sure customers can deal with organizations digitally will be critical to maintaining customer experience. It’s just as important to ensure that channels are integrated and automated in the backend. Businesses are looking to omni-channel digital solutions to help feed new demand through the funnel without having the added complication of a restricted workforce. It has never been more important to automate. More on Decision Analytics

Unlike your typical recession caused by a steady decrease in demand, today’s downturn was induced by the immediate mass closure of non-essential businesses. The frenzied pace that government and regulatory bodies have responded to reduce the impact on consumers with payment forgiveness or deferment programs has put a tremendous amount of pressure on lenders. It’s difficult to quickly understand the changes in credit profile of a previous solvent customer and to mobilize their operations teams to service these at-risk customers. Most companies but especially banks have been very proactive in digitally communicating with customers. They’ve been contacting consumers through email and posting messages to your accounts online offering to help. The problem will be when people start to experience financial difficulty, how do you support those consumers especially the vulnerable? Generally, the number of consumers who manage their debt month to month with low to no savings is the norm, that coupled with overall credit lines and debt utilization rates being at an all-time high creates somewhat of a perfect storm. With consumers facing unemployment or furlough at record numbers, the volume of people seeking hardship applications from their lender will skyrocket. According to the International Labour Organization, an estimated 2.7 billion workers, representing 81% of the world’s workforce, has been impacted leaving millions of workers vulnerable to income loss and layoffs. This rapid increase in demand is and will continue to overload Call Center operations who are already under strain and operating at a lower capacity. And really, aren’t we all? Call centers are staffed with people like you and me – working remotely or socially distancing, all the while juggling the needs of their families and communities.  And if it’s a lender who hadn’t yet made the digital transformation leap, these lenders could be putting additional pressure on systems that are difficult to access with a remote workforce. Implementing new software and operating rhythms in times of crisis is not ideal. Yet businesses don’t have the luxury of time and will need to evaluate their options and implement now. Here are 3 considerations for taking those first steps: Prioritize on-demand or cloud-first solutions for faster implementation Look for “as-a-service” options delivered in days versus months to help more customers faster Find operational efficiencies that support your employees and customers when it’s needed most Experian is helping businesses manage their at-risk customers whether they’re already in arrears or showing signs of payment stress for the first time. By linking digital communications channels to a collections platform and integrated decisioning environment, we’re helping address the significant increase in hardship demand with end to end treatment automation as a service. From the point of application, consumers drive the self-service interaction allowing businesses to quickly receive, accept/decline and process applications. Augmented with analytical insights for affordability and various types of propensity, businesses will better understand the actual financial position of a customer and be able to create a tailored treatment approach that’s sustainable. Whether short-term forbearance or true hardship is required, this can help reach more customers and free up call center teams to focus on more complex cases. It’s unlikely the economy will return to its pre-Covid conditions as rapidly as its declining, but your customers will trust your business if you were there for them in their greatest time of need.  We can help you stay connected with your customer while supporting them in a meaningful way through this especially difficult period.

It’s possible the global Covid-19 pandemic will forever change the way we connect with others both personally and professionally. It seems the whole world went digital in a few weeks and it rapidly changed the way consumers and businesses engage with each other. Whether going digital was a part of your strategic plans or not, business leaders of all company sizes must rapidly adapt to this new normal and be prepared for the future post-pandemic. But where do you start? Lead with empathy and over-communicate Every life has been touched by the pandemic in some way or another which makes this rare event one of those truly shared experiences that happens globally. The way we conduct ourselves as leaders, employees, partners and customers requires empathy. Empathy for people that have been pushed to their limit juggling work and family. Empathy for programs and processes that are struggling to create or fulfill customer demand. And, empathy for business plans that were once designed for growth and now being redefined for resiliency. This duty of care for your employees and customers has the potential to create trusted, lifetime relationships with your brand. In fact, there is a tremendous opportunity for businesses to segment and use their data to tailor programs or communications strategies that will help customers access and manage their accounts easier at this difficult time. It might mean acknowledging customer service wait times are longer than usual and encouraging customer to go digital. Or, reminding customers to be diligent about their protecting their information and what to do if they are a victim of fraud.  Re-think your plans and pivot quickly We’re in the middle of this change now – alternative operating conditions (e.g. remote working, call centers closed), shifting consumer behaviors (e.g. going digital, unemployment), potential new regulations and temporary changes to credit reporting – and it means that speed of adaptation to the new normal is critical. Here are four major pivot points all business leaders should be considering: 1. Customer engagement: With many operational centers closed, customer servicing necessitates a holistic omni-channel approach to customer management. Building trust with customers facing a crisis also requires businesses to deliver financial solutions that are bespoke to their needs. 2. Risk management challenges: A big question on every risk officer’s mind is: How can I accurately project the impact on my customer’s behaviors and my portfolio results? Model performance review and re-calibration will be necessary and implementing advanced analytics (e.g. machine learning) may speed up its impact.   3. Operational re-alignment: The ability to intelligently reallocate resources between an ever-increasing list of priorities is keeping up most technology officers. Everything from managing a dispersed workforce to onboarding new customers or small businesses. Embracing a cloud-first strategy could mean the difference between business continuity and resilience. 4. Protecting against fraud: Fraudsters will seize on the opportunity to exploit any signs of weakness for financial gain. Knowing where the blind spots area and putting in place the right size solution for the problem are necessary to protect your customer’s from fraud. Want to learn more about what Experian is doing to help consumers and businesses during covid19?  Visit Experian’s Covid-19 Support page.