Insights from Harry Singh, SVP, Global Decisioning, and Hristo Zahariev, Global Product Manager. Due to the global pandemic, one of the key challenges facing many consumers today is the ability to obtain support either from their credit provider or from government. This is manifesting itself in two ways – consumers facing very short-term financial difficulty, which might mean a payment holiday for a few months, or longer-term structural issues such as unemployment, which requires a very different set of treatments and outcomes. But what can businesses do to ensure consumer demand is met while taking care of customer experience? We look at the importance of digital channels within the decisioning environment, and how investment using AI can not only lead to consumer satisfaction now but also a sound business strategy for the future, regardless of how unpredictable that future may be.    How the industry can respond to consumers during this time of need A recent study from March this year looked at businesses that are not yet fully digital in terms of how they handle their consumer interactions, and how they can reach out to consumers to help them during the Covid-19 crisis. With call centers and operational centers closed, and anything between five and 50,000 applications a week coming into banks across the world since the pandemic began, businesses have inevitably been struggling with demand. Based on existing operational models examined within the study, if businesses were to manually manage these applications, they would need to double in size in terms of full-time employees, and follow-up interactions post approval may still not be met. Managing demand and staying compliant, while enabling consumers to successfully interreact without waiting hours to get through is the challenge faced by many businesses. It’s a balancing act that is both an opportunity and a risk and should be treated as such. Helping consumers in a way that is digital, while allowing for self-serve, is fundamental in meeting these new levels of demand - and doing so in a way that doesn’t feel demeaning to the consumer is where true differentiation begins. During a stressful time for consumers, it’s important that businesses step up to the challenge of demystifying their interactions, removing embarrassment around finances while also retaining an element of human engagement. Thanks to AI and a layered, cloud-first approach to decisioning, contacting pre-qualified consumers for both forbearance and hardship can now be done through a business’s banking application or their website, using artificially intelligent virtual assistants that can be deployed in a multitude of different digital channels. The consumer perspective: we need more than a chatbot Chatbots are very effective and useful in many ways, but when an interaction gets complex or there's something of a regulated or more subjective nature, it becomes difficult for that chatbot to provide the kind of service consumers are looking for. The answer lies in continuous learning, which moves away from the decision tree structure of a traditional chatbot and into the realms of natural language processing. The new age of virtual assistant remembers interactions and then learns from them, has short-term and long-term conversation goals, and recognizes small talk. The result feels a lot more empathetic and allows for always-on and real-time consumer interaction. How businesses can develop their strategies not only for today, but going forward Bringing together digital capabilities, analytical insights, and data to understand the affordability of a consumer is critical. Using demographic and geographic data, businesses need those insights, regardless of whether we are in a growth environment, a benign environment, or as we're seeing right now, a recession of macro-economic downturn. Businesses choosing to invest now to address their operational and strategic challenges are not just responding to Covid-19, they are looking beyond and into strategic requirements of the future. Financial difficulty may be more acute right now, but it has always existed and always will, for various reasons.  

In the second part of the Juniper Research and Experian podcast series on online payment fraud, we talk to Nick Maynard from Juniper Research, and David Britton, Vice President of Industry Solutions at Experian, about maturity in artificial intelligence and virtual assistants, and their current ability to respond to current business challenges. "What we're seeing in the consumer space is that AI is powering these virtual assistants and typically Alexa, Siri, Google, are the three big examples. What that's doing is creating an additional channel, it's a new way for users to interact... it mirrors the digital transition and the mobile transition over a number of years."Nick Maynard, Juniper Research "If you consider where artificial intelligence and machine learning are coming together, this is not going to be a big bang launch into market. We're seeing a slow, incremental roll-out." "In the physical world, when we talk about risk and recognition of a consumer, the human to human interaction takes in a tremendous number of variables to ensure that the person you're engaging with is who they claim to be.... in the digital space, that was eliminated overnight, and cosnumers were using a device as a proxy to represent them to another system or set of devices, like bank servers and eCommerce web servers." David Britton, VP of Industry Solutions We also discuss key points around evolving regulatory frameworks, and how they are driving change in identity-based solutions. Listen to the full podcast episode here, and don't forget to listen to What’s new in online payment fraud Part 1: Implications for consumers and businesses if you haven't already.

In this episode of the Insights in Action podcast we talk to Neil Stephenson, Vice President of Strategic Client Development, about how businesses can address a lack of data. Following an earlier episode tackling business data challenges, we discuss getting value from the data your organization already has access to, tackling legacy software issues, the accelerated shift to customer-centric technology stacks, and an increase in industry partnerships to solve common challenges. Nearly a third of senior business leaders say they don't have enough data to get insights they need, or that the quality of the data they have access to is poor. We take a look at the three steps businesses need to take to address this challenge, starting with the quality of data already in the business. "We see a number of organizations that have pretty powerful data within their own business but don't leverage it as well as they could, so matching data together and making sure they've got a really strong view of their customer across all of their systems is really essential, and then having processes ongoing to make sure that they maintain that view whenever they touch the customer, whether that be through an online channel or face to face." Neil Stephenson, VP, Strategic Client Development Listen to the full episode here, and look back at the previous in the series, Solving key business data challenges - with Bill O'Connell, Experian Global Decision Analytics

The first of a two-part series on our Insights in Action podcast, Nick Maynard, Juniper Research, and David Britton, our VP of Industry Solutions for Global Decision Analytics, discuss the latest developments around online payment fraud, and what the implications look like for consumers and businesses. Following the publication of the latest report on online payment fraud from Juniper Research, this episode takes a closer look at how the mobile revolution has created both opportunities and risks when it comes to online payment. "We're seeing a massive digitalization of existing payment methods and retail, which is being driven for a number of reasons. Convenience is a massive driver, and mobile wallets in particular offer a very convenient solution for payments, and they're being used very widely around the world. Other drivers include the ongoing Coronavirus pandemic, which is having a role in driving the increased usage of the online channel."Nick Maynard, Juniper Research Topics covered in part 1 include: The online payment revolution has been led by mobile, with half of the world’s population estimated to use mobile wallets in the next four years. How this transformation is shaping the new online payment experience. ​ Covid-19 has pushed organizations to prioritize their digital transformation. We look at what the implications will be as a result of the rush to digital. With higher convenience, normally comes a higher risk of fraud – what we can expect to see as a part of this shift to mobile. ​ What businesses can do in the short term to mitigate those rising types of fraud, and what their key operational and strategic considerations should be for the future. ​ Listen to the full podcast here, and look out for what’s new in online payment fraud Part 2: How AI and evolving regulation are driving change

In a recent piece for the Forbes Technology Council, Businesses Need to Modernize Their Approach For Delivering Digital Experiences, I shared how the current rapidly changing environment has greatly accelerated the shift from offline to digital interactions. As businesses experience a need for heightened governance and controls, they must look towards technologies such as artificial intelligence (AI) and machine learning, coupled with access to data in real-time, to move forward. According to the report Experian commissioned Forrester Consulting to conduct, 53% of businesses struggle to make consistent customer decisions. Additionally, only 29% of businesses believe they do a good job of connecting analytics to action. When applying AI and machine learning to customer experiences, there are some concerns that businesses must keep in mind. The first is legal implications and privacy protections, which must always be a priority. The second is to combine analytics models with real-time decisions so that predictions can be harnessed and put into action in real-time. As more and more businesses shift to fully digital experiences, they must learn how to apply their vast amounts of data to models that can help inform the newly remote customer experience. If interested in the topic of businesses’ modernized approach to digital experiences, you can find the full article here.

Recently we commissioned Forrester Research to look into senior executives’ perceptions on key business data challenges and the importance of achieving a holistic view of their customers. This research uncovered that nearly a third of business leaders worldwide say they don't have enough data to get the insights they need or that the quality of the data they have access to is poor. While getting the type, quality, and amount of data right is paramount to success in your endeavors to create actionable insights that take your business to the next level, data alone is not enough. To get value from data, there's a whole ecosystem that needs to be in place that enables the business to create, manage and maintain a holistic view of the customer, create analytically driven insights into those customers, and deploy them into production environments that drive optimal customer actions and journeys. Organizations also have the opportunity to explore new data assets from traditional sources or those dynamically created in a myriad of places across mobile devices and the Internet of Things. There must be systems and procedures in place to continuously improve and assess these new data sources, by bringing them into analytical processes where insights are derived and predictive models generated.  The critical task is then to seamlessly ingest and embed the data and models into production environments in a robust and compliant way. And that's got to be a continuous process. Otherwise, businesses will stagnate, and they will lose out to those competitors who are actively doing this. Addressing the lack of data your business needs to get actionable insights: Three practical steps Prior to even considering external or additional data sources, you need to get a solid understanding of the data you currently have access to within your organization, what value those data sets bring in and what are the gaps to be filled.   You should also review your internal processes and technology stack to understand if further IT investment is required to create a more effective ecosystem.  With the right tools and processes, you must be able to easily assess the uplift of new data sources in your analytics environment, as well as ingest those new data sources into production environments, to drive new models, run segmentation rules, and execute customer-centric actions. What are the three steps you need to take to get enough data to gain business insight you can take action on? Look at the quality of your internal data. We see a number of organizations that have powerful data in their own business but don't leverage it as well as they could. So matching data together, making sure that they've got a really, really strong view of that customer across all of their systems is really essential. And then having processes ongoing to make sure that they maintain that view whenever they touch the customer, whether it's through an online channel or face-to-face, so that they always know who that customer is, and they can match them to their existing relationship profile. Getting your internal data process correct is a foundational element to this whole piece. Understanding the value and role of new data. In terms of new data, it’s about understanding if that new data can actually add value to the business rather than plugging it into core systems straight away.  You need to work with the vendor or the source of that data to get hold of a dataset, match it to your customers, and run analytical processes to identify whether the data adds value. If it does, consider what models or segmentations could you create from that data that'll actually drive value in the business.Identify the software and architectures you have in place that allow you to connect to data and drive that data into a tool that can dynamically apply models and rules in a heavily regulated environment.  With the right toolset forming the bridge between your off-line analytics environment and your on-line production environment, you can leverage predictive data to continuously improve your customer-centric decisoning across the lifecycle for all of your portfolios.

In this episode of Insights in Action, David Britton, Vice President of Global Identity & Fraud Solutions, discusses how the Covid-19 pandemic has prompted a massive shift to online for both consumers and businesses, and examines what implications have emerged across the online fraud landscape because of this. "As with any moment like Covid-19, fraudsters are very quick to pick up on possible areas of vulnerability that they can exploit in the market and in the ecosystem. And fraudsters always like to go where the weakest point is in the ecosystem or the weakest link in the chain. So fraudsters are absolutely taking advantage of this."David Britton Phishing is on the rise - fraudsters are impersonating key institutions and their communication channels to manipulate consumers Account takeover fraud - fraudsters are hiding in the traffic peak, posing as consumers using their credentials How businesses can counter the trend: Keeping online fraud at baySecuring our digital identitiesEnsuring a secure, transparent and meaningful treatment of data "The first thing to do is to ensure businesses are pulling together soft signals to define a better risk strategy and authentication strategy because then you can immediately identify if there's an anomolous actor that's trying to impersonate that 'known' good customer."David Britton Listen to this episode of the Insights in Action podcast

The opportunistic nature of hackers means that a global crisis can create the perfect breeding ground for fraudulent activity, meaning businesses and consumers need to be even more vigilant. View Infographic

There’s a digital payments revolution, and mobile is leading the charge. But at what cost does convenience come? Juniper Research’s latest online payment fraud report explores key issues around increased cybercrime and what that means for businesses looking to invest in fraud prevention. View infographic

Digital interactions between businesses and consumers are on the rise. The ability to authenticate and recognize customers provides a convenient and secure experience. However, the latest Global ID & Fraud Report shows a significant disparity in perception between businesses and consumers when it comes to recognition. View Infographic

The interesting thing about fraud is that it’s always changing. Fraudsters are getting smarter, and fraud threats are constantly evolving. Businesses need to be agile and prepared to quickly shift their fraud strategies to stay a step ahead of emerging fraud threats. Traditionally, it's been very difficult for businesses to keep up – every time they see a shift, new fraud signals must be employed, which means looking at new intelligence signals in order to counter that fraud and then moving through a process of procurement and qualification, and then implementation and integration, of fraud services in order to manage the change. With time of the essence, businesses can no longer wait months to react. They need to be able to react in real-time. Biggest threats for 2020 Covid-19 has accelerated online payment transactions, making way for massive cyber security and data fraud concerns among banks and retailers. The idea of doing more digital business, picking up customers digitally, providing a great digital experience is going to be more and more important as we move through the pandemic. Even businesses which traditionally see most of their customer traffic through bricks and mortar might start to see that shift. All of this means that there is more opportunity for fraudsters to be part of the process and to take advantage of that digital interaction. The risk of fraud is going to increase as more people go digital – In part because of sheer numbers, and in part because more of the people who are going online now maybe doing so for the first time. So companies and consumers alike are less prepared for that kind of interaction. Account opening is likely to drop because of Covid-19, but we should expect to see a sharp increase in account take over fraud. There are a lot of people who are being forced to go online now to transact. They may need to turn to ecommerce. They may need to look at online banking to move their banking online. But the point is, they may never have gone online to perform these tasks before. Many vendors have been rapidly rolling out new technology solutions to help banks and retailers manage this new online demand, which has potentially exacerbated digital fragmentation, privacy concerns, and governance expectations. The importance of continuous risking and self-service The speed at which fraudsters adapt to new technology and behavior has always been a problem, but now that we are seeing sudden and unpredictable change, reacting at speed with new fraud strategies has never been more important for businesses. Typically, businesses need to move through validation, contract and then integration in order to do this – making for a long and tedious (not to mention expensive) process. The new release of CrossCore will pre-qualify fraud and intelligence services so that they are pre-integrated meaning that businesses can choose how they want their transactions to be processed, which fraud and identity services they want to use, and they can do so through simple self-service. There is also a feedback loop where reports are generated on how much fraud was detected. Businesses can access their feedback loop almost in real-time and see if their fraud strategies are working or not, and then adjust things as they go. Customer experience when all of your customers are online The ability to passively and strongly identify a customer is a difficult balance to strike when the goal is not to inconvenience the user. And now that most consumers are running their lives online, they demand not only a secure experience, but a convenient one too. To achieve this, a lot of signals about that person are collected. These range from device characteristics and who it is registered with, to behavior on the device and whether these signals match up to the same person. In order to process this data, the signal streams that come in must be considered and then almost in real-time, fraud analytics allow a decision to be made on whether the interaction is with a genuine person or a fraudster. To be able to reduce friction while passively and strongly identifying a person, advanced analytics becomes integral. More about how our latest upgrades can help your business

In a report made available this month, Juniper Research anticipates that in 2024, remote purchases for digital and physical goods will exceed 285 billion transactions per annum; an 80% increase on the figure for 2019.  And, that values will increase by nearly 60% to over $9 trillion. It’s impossible to look at these numbers without considering the impact of the massive migration to digital channels that businesses and their customers made to stay engaged during the early response to Covid-19. Finding ways to support customers and their needs remotely has been met with a lot of creative solutions and we see new trends taking hold. For example, “buy online and pick up in-store” and “buy now and pay later” provides customers the access they need for goods and services now with a lot of conveniences. Convenience is a significant part of the customer experience but unfortunately can expose a business to a lot of fraud. According to David Britton, “Fraudsters will always be at the forefront of technology exploitation.” There is evidence of this not only in technological innovation but in the manipulation of human behavior, otherwise known as social engineering. According to Juniper, new technologies such as artificial intelligence will take social engineering to unseen levels of success, like the rise we're seeing in fictitious or synthetic identities. But while it might seem like an impossible problem to manage, businesses have solutions available to them to prevent fraud, including using AI against cybercriminals. In fact, Experian believes that there the layered approach to fraud detection and prevention can significantly protect businesses, and their customers, throughout the credit lifecycle, and withstand the changing face of fraud. Check out the report on key trends and capabilities required for securing digital payments and find out more about Experian's solution on the Juniper Research Leaderboard. Related content: Protect your family from potential fraud when kids are playing video games Getting to grips with the shifting fraud landscape