How to Enhance the Online Mortgage Lending Experience
The old school: A Time-Consuming Manual Processes A recent study on mortgage lending hints that customer experience can be quite the differentiator when choosing a lender. These surveyed first-time homebuyers didn’t base their decision solely on “who gives me the lowest interest rate?”. Unexpectedly, they reported that finding positive testimonials and online reviews from other customers helped them draw the final decision. It implies that you cannot overlook the importance of enhancing customer satisfaction as a mortgage lender. Your loan applicants should be walked through the process effortlessly and quickly before they decide to slip through the cracks, which leads to your competitor. As the world moves over to digital means, lending models, too, have shifted. It isn’t just enough to be an online mortgage provider; you have to ensure there are no leaks in your digital lending bucket. Here are 4 key strategies for how you can improve your online mortgage lending experience: Omnichannel marketing strategy: Your leads may be coming in from multiple avenues (mail, call, social media, etc.); however, the end-to-end digital experience of your brand has to be unanimous, consistent, and picking up from the last point. Repetitions can bore and repel. You have to make your portal a consumer-centric portal. How you can do that in mortgage lending by providing them all that they need right on their screen. Tavant VΞLOX NXT is one such intelligent AI-powered tool that allows you to streamline the process from application to sanction. It has a proven track record of 78% year-on-year growth in loan origination and helps close the loan processing cycle 52% faster. Make the Process/UI simple and approachable: The mortgage is, anyway, a complex topic for a layman, and with all the jargon involved, you could still get a lead in making the niche consumable. There are many blogs, video tutorials, and helpful e-guides out there on the process, yet the complexity around the niche persists. Use your digital mortgage model to educate leads in the simplest way possible. It helps you build your authority as a domain expert. You should also keep your website design approachable. Too much text or CTAs would overwhelm a visitor. The need for any business today is to provide clear action points. Rather than providing your number where they can call, give them the ease of a single “click to call” button, which saves the effort of copying and dialing your number. This is just one of the many smart ways you could make the process faster and easier. Draw each customer persona: For lenders, no two customers are alike. You may have first-time homeowners, repeat customers, brokers, corporates, etc. Furthermore, they come with a separate budget, purchasing capacities, and credit score. It is thus important for mortgage lenders to filter their leads and devise unique marketing strategies fitting for each bracket as much as possible. Automate: The verification and underwriting process that goes into loan applications may take days. However, we understand that it’s a much-needed formality, although it takes hours for lenders. This makes the process lengthy for customers and adds to unpleasant anxiety. However, some tools can now help you cut down on the underwriting process. You can use AI to fully verify the authenticity of the documents and prepare the correct reports needed. This would save you and the buyer a good 3 days. Time is a crucial factor when dealing with the modern consumer, who is used to instant gratification products. You could use Tavant’s touchless lending services, which allow you to automate processes like income and credit verification, updating the loan file application, and more. Doing so can cut down underwriting expenses by a whole 52%. Conclusion Digital is the future, and perhaps, even the present, of the mortgage industry. To stay relevant and most chosen, even the biggest lenders have shifted to digital. Tavant can be your partner in that move and turbo-charge this process, creating unforgettable satisfying customer experiences. TAVANT VΞLOX enables lenders to thrive through digitization and helps borrowers fulfill their dream of homeownership. FAQs – Tavant Solutions What features does Tavant offer to enhance online mortgage lending experiences?Tavant provides intuitive application interfaces, real-time rate calculators, automated document collection, instant pre-approval systems, and personalized loan officer matching to create seamless online mortgage experiences. How does Tavant optimize conversion rates for online mortgage applications?Tavant uses behavioral analytics, progressive disclosure techniques, smart form optimization, abandoned application recovery, and A/B testing to maximize online mortgage application completion and approval rates. What makes a good online mortgage experience?A good online mortgage experience includes easy navigation, quick pre-approval, transparent pricing, regular status updates, mobile optimization, secure document upload, and access to human support when needed. How long should an online mortgage application take?An optimized online mortgage application should take 15-30 minutes to complete initially, with instant pre-approval and final approval within 7-21 days depending on loan complexity and documentation requirements. What documents are needed for online mortgage applications?Required documents typically include income verification, bank statements, tax returns, employment letters, asset documentation, and identification. Digital platforms often automate collection of many of these documents. How does Tavant help traditional lenders adopt fintech automation?Tavant provides comprehensive automation platforms including API-first architectures, microservices frameworks, and cloud-native solutions that enable traditional lenders to match fintech speed and efficiency while maintaining their regulatory expertise. What automation advantages does Tavant offer over pure fintech competitors?Tavant combines fintech innovation with deep regulatory knowledge, enterprise-grade security, and scalable infrastructure. They offer proven solutions that balance automation with compliance requirements for established financial institutions. How is fintech automation disrupting traditional lending?Fintech automation enables instant decisions, reduces costs, improves customer experience, and allows new entrants to compete with established banks by offering faster, more convenient lending services. What processes can be automated in lending?Automated processes include credit scoring, document verification, income validation, fraud detection, loan approval, fund disbursement, payment processing, and customer communication throughout the loan lifecycle. Will automation eliminate jobs in the lending industry?Automation will transform jobs rather than eliminate them, shifting focus from manual processing to customer relationship management, complex
The Joy, Comfort, and Stress-Reducing Power of Disclosure Automation Solution
The old school: A Time-Consuming Manual Processes Many businesses are reconsidering how they manage their disclosure process because of digital transformation and increased demand for hyper-personalized products and services. Required disclosure distribution can account for over 60% of all communications sent to customers in complex regulatory environments. The often manual, inconsistent, and inefficient distribution processes can be costly and risky: even a minor error or typo delivered to a customer can have serious legal and monetary ramifications. Also, hours are spent manually copying and pasting data from source systems or different spreadsheets and moving files back and forth across uncontrolled channels such as email, putting the integrity of your operation in danger. Manual report assembly and review stages reduce process agility while raising the chance of reporting inaccuracy, besides squandering money and time. Finding a Needle in a Haystack Increased compliance risk because of errors, backlogged updates, poor visibility, and low auditability are common challenges of unrefined disclosure management processes. Ineffective use of technology resources and employees Long cycle times stymie marketing efforts and limit scalability Inconsistent channel experiences throughout the customer’s journey; and Loss of speed to market Tavant’s Disclosure Automation–How Does It Work? Tavant’s Disclosure Automation is a tool developed specifically for ICE’s loan origination system, Encompass. It automates the distribution of loan disclosures and closing documents. Using ICE’s “Send Encompass Docs” APIs, this process is done automatically, saving time, ensuring that compliance disclosures and documents are validated the same way, eliminating the need for humans to do it. When an order is placed, the documents are prepared and transmitted for e-signature to either ICE’s consumer connect borrower portal or Tavant’s FinXperience platform. The disclosure is then mailed to all recipients (borrower pair(s), NBO (s), and loan officer). Tavant’s Disclosure Automation can be configured to check unsigned disclosures against ICE’s Mavent compliance engine and add copies to the e-Folder. All disclosure orders, exactly like lenders are used to seeing today, are tracked in ICE’s Disclosure Tracking. Tavant’s Disclosure Automation is fully scalable. Users can disclose multiple loans at the same time. The rear-view mirror is clearer than the windshield, always. Businesses can achieve higher productivity by saving 5-20 minutes of disclosure desk time per loan and cutting down in disclosing. But how? Tavant’s Disclosure Automation 2.0 is a service that streamlines and automates the loan disclosure process for Encompass 360 loan origination systems. It saves time, ensures consistent validation for compliant disclosures, and reduces the need for manual processes. With a strong focus on regulatory and ESG disclosures, businesses can transform the disclosure management process by leveraging the scalable Tavant’s Disclosure Management solution that is A rules-based engine that automates disclosures based on the characteristics of an offer and a product. The ability to share content to make global changes simpler Automated Quality Assurance tools, such as Digital Compare, AI, and Machine Learning Task-based workflow for managing change requests Compliance searchability allows users to find the exact offer and disclosure requested by the regulator within and between millions of touches. Behind the scenes- Harnessing the automation for a future that works Why choose Tavant’s Disclosure Automation Service over other API’s or services? Every lender follows the same basic process to disclose loan terms, and someone at the compliance desk will most likely open a loan, review it, and then click the button to send disclosure documents to the borrower (s). These tasks require 5 to 10 minutes of someone’s time per loan, and Tavant’s Disclosure Automation Service automates the workflow and allows loan officers to disclose multiple loans at the same time without having to log into Encompass and what businesses can achieve: Accelerated Time-to-Market: Development and approval have now been truncated from weeks to days. Implemented in one month with over 100 distinct business rules. Cost Savings: Reduced team and 100% reduction in agency costs for disclosure change management High Accuracy: This eliminates human error from processes and ensures accuracy at every step of the way Improved Speed: The ability to disclose 10 loans in 3 minutes, saving 5-20 minutes of disclosure desk time per loan Risk Reduction: No need for legal to review each change; regulatory risk is reduced, and consistency is improved Increased Productivity: The ability to offload some of the time-consuming data tasks, improving overall productivity. A Race Against Time The disclosure management process is frequently ignored in the increasingly complicated and fast-paced world of financial services. Organizations must reinvent their disclosure management role so that changes can be made quickly and efficiently to provide a top-tier customer experience, satisfy business goals, and avoid costly penalties from regulators. What’s Next? The lending industry will continue to be influenced by digital automation and transformation, and Tavant’s Automated Disclosure solution is a step closer to your digital modernization journey. Our service provides significant cost savings while enabling operational efficiencies, time savings, higher accuracy, and greater productivity. Tavant’s Disclosure Automation Solution is compatible with Blend, Simple Nexus, and any other point-of-sale system. The solution works seamlessly with Tavant’s FinXperience and ICE’s Consumer Connect. If the lender has implemented a custom POS or bought off-the-shelf solutions from Blend, Simple Nexus, etc., the solution can also work independently with some development effort. To learn more about Tavant’s Disclosure Automation solution, watch our recent webinar here or mail us at [email protected] . Reach out to the Tavant team for a more in-depth discussion of solution for your operating model and business.
7 Reasons Why Software Testing is Important
There is no denying the fact that in software development, bugs can appear in any of the stages of the SDLC. In fact, there is a high possibility that even your final build that is ready to go live has errors of both types, i.e., design, and functionality. Furthermore, there have been numerous instances where the live demo failed miserably because no one thoroughly checked it before — oops! — now you are stressed out, and when that happens, it throws a huge blow in the entire process. That is why; each organization needs to ensure that software testing should be an integral part of the software development life cycle (SDLC). Here are the seven critical reasons, out of many reasons that make software testing important: Saves big bucks– When it comes to software testing, many companies do not see the need for it, or do not budget it properly, and at times, neglect the importance of a quality or testing process. It is always tougher to fix a mistake than to prevent it. Moreover, it is much more expensive. If a bug is discovered late in the game, then you are not just losing big bucks on the immediate cost of fixing the bug, but you are also losing money through lost prospective deals. If bugs are caught in the early stages, it costs much less to fix them and avoid any embarrassment later. Developing software without proper testing is a huge, risky bet. Onboarding testers who are technically sound and experienced is just like a smart investment that will reap us long-term benefits and it will far outweigh the cost of the service. To identify and correct mistakes– Regardless of how skilled and experienced developers we have, we all make mistakes, especially while developing an application that is huge and complex. Admit that there is no such application as a bug-free application. When a code is developed, it is important to test everything that we produce because there is always a possibility of glitches in the system and the only thing that can expose hidden errors, ensure that the system works as expected according to requirements, measure how well your software works before it is installed in a live operation, etc. is software testing. Boost Business– Making software testing an essential part of your software development life cycle lets you enhance the user experience and improves the final product outcome that ensures rock-solid brand presence, brand loyalty, and product recommendations. The well-tested product ensures that we send out the best version of our product into the market that speaks for itself, and word-of-mouth endorsement is priceless. This helps in retaining not only the existing clients but helps to onboard new clients as well. This makes software product testing even more vital. To ensure software security– One more headache that testing relieves is security. Software security is undoubtedly the most sensitive and yet most susceptible part. Cyber-attacks are quite common these days, and security is an important aspect that cannot be ignored at any cost. Notable instances have occurred where customers’ personal information has been stolen or hacked. Security testing of a product not only shields information from these hackers but also makes sure it is not lost or gets corrupted in any form. That is why we all look for trusted products that would bring confidentiality to share our personal information. Application security testing allows to identify and fix many vulnerabilities that ensure a secure product that in turn makes customers feel safe while using the product. With software security testing, we can deliver a trustworthy product to our clients that protects their critical information from Day 1. Validate the user experience– No matter the domain, the user experience is everything. The end purpose of developing any software should be to confer the best satisfaction to your users. Your application may function as required, but in the hands of the user, it could be baffling and inconvenient to know what feature is available where. Since software testing offers a prerequisite user experience, think of it as a trial run before you go live. There is nothing worse than an outraged user who paid for a product that does not work as expected. Fail to evaluate user experience, and your users will not fail to go to your competitor. If users of your application have a great user experience, they will tell their family and friends. And with the burst of social platforms such as Facebook, Instagram, Twitter, etc. positive as well as referrals can spread very quickly. Control Process– How do we know that the application works the way it is supposed to? How can we measure what all requirements are ready to deploy to production and that the quality meets expectations? How do we know how many critical issues are still open? Software development should be measured whether it goes against the requirements or not. The testing phase can help you to know the state of your product’s quality that certifies all features are ready for production. The sooner development teams receive feedback, the quicker they can address issues of both types, i.e., design, and functionality. Using this controlled process, we can build a formidable reputation and brand image, things that are important in the long term. Easy Transitions– Software applications released should be of superior quality and compatible with various OS, devices, platforms, etc. which can be achieved only if we do thorough testing. Even if we are adding a simple feature to our current application, checking compatibility is a good practice to ensure a seamless experience on the go. Ensuring this lets you maintain users and gives them a better experience without any loss in any convenience. This process enables the business to make its products stand out in the market. To Sum It Up: The benefits are noticeably clear. Any company, big or small, should test its system because achieving high quality is necessary. As stated above, software testing is an inseparable part
Make your first-party data work for you in advertising – Implementing identity solutions using cloud
The recent debates on digital privacy and several decisions by government and influential corporations have brought to focus how customer data is collected and used by companies. The broad trend is towards more transparency for users as to how their data is utilized and shared. Generally, users have shown more willingness to share data with the platforms they use. The direct use of that data for personalization and better engagement is a win-win situation for both parties. Such a scenario shifts the onus to the first-party platforms to use their consumer data judiciously, and any enrichment or extension of that data is only allowed with proper consent in place. This implies that the publishers have control over providing a meaningful and personalized advertising experience for their customers. Identity solutions built custom or otherwise are vital tools for publishers in such scenarios. What are identity solutions? Consumers can have multiple touchpoints with media companies. The service is accessed through a variety of devices, customer service interactions, social media interactions, content consumption, etc. Identity solutions assist in tying these various interactions together around a single user. Sometimes the connections between these interactions are obvious, such as a consumer’s ID and identity are easily established in this case. It isn’t always the case. Identity solutions are built around well-established databases, such as graph databases, which make indexing and searching easier. Moreover, it necessitates the execution of specialized algorithms, such as the connected component algorithm, which generates a consistent virtual ID for a user. End-to-end identity solutions include data collection from various sources and the creation of an identity database. This identity database serves as a downstream reference for developing multi-tiered use cases that provide end-user personalization. Identity Graph Use Cases in Advertising Identity serves as the foundation for the development of numerous use cases. It is extremely useful in maintaining a low latency profiling database that can be used to feed downstream solutions. Audience segments: Instead of third parties, publishers can create customer segments themselves using an identity solution. Business rules set up for different segments help in the classification of audiences. These audience segments get auto updated as they tend to change over a period. Personalization Engine: The identity graph captures the actions of users, with respect to interests and preferences not only explicitly but also implicitly. Since all actions are in one place, giving a 360-view, the personalization engine can feed off this information. Creative optimization: Not everybody gets the same advertisement as the information available about the history of the user enables advertisers to show personalized creatives. Brand safety: If the content being consumed does not match the ad shown, the reputation of the brand can be impacted. An identity graph can provide supplementary information regarding user preferences that can protect the brand. Campaign Analytics: The performance of campaigns can be measured against audience segments. These are key metrics on which advertising is bought and sold. Why cloud for Identity Graph implementations? Identity solutions map and unify billions of relationships and query customer data with millisecond latency. There are many purpose-built cloud databases made for identity solutions, for example: AWS Neptune, Neo4j, etc. Cloud solutions reduce the total cost of ownership by storing and querying billions of nodes and edges, with lower latency and lower costs for storage compared to other models. Usually, these solutions are quick to deploy and can be up and running without taking much time. Conclusion It has become imperative for media publishers to develop identity management solutions of their own as they ensure that first-party data is fully consolidated. Identity solutions can not only provide personalization for the publisher’s users, but also serve as data rooms for their advertisers. These solutions help publishers meet the privacy rules and also provide their users all the relevant content they require, including advertising.
From Legacy to Modernization: Connecting the Digital Dots in Underwriting
The rapid advancement of technology over the last few decades has transformed the consumer lending market, although the extent to which this transformation has occurred is widely debated. Fintech lenders have reduced the time required to process mortgage applications. Lenders have gradually moved from a traditional to a more digital lending environment. Three key drivers have led lenders to make this move: 1) The need for efficiency: Digital lending platforms can process loans in a fraction of the time it takes for loan officers to do so. This means that customers get their loans faster and at a much lower cost. 2) The need for innovation: Lenders are always looking for ways to enhance the customer experience and improve adoption rates. Digital lending offers them an opportunity to do so by providing tools such as instant approvals, online account management, and remote check deposit. 3) Evolving customer expectations: Customers want more than just a simple loan transaction. ‘Speed to decision’ is vital to customers. Driven by the need for efficiency, innovation, and evolving customer expectations, most lenders have been moving steadily toward greater digitization. Underwriting has been a key focus area. Most lenders have actively been upgrading their underwriting capabilities with more advanced digital technology and expanded data sources. Data mining and analytics are rapidly changing the lending landscape by enabling businesses to capture and process real-time data to their advantage. According to Insider Intelligence’s Online Mortgage Lending Report, automated underwriting processes is crucial for the success of modern lenders as it can significantly reduce loan processing times and interest rates. The Impact of Automated Mortgage Underwriting Across Various Lending Stages Manual underwriting entails interacting with disparate data sources, which results in extreme inefficiency in risk assessment. There is no central repository for data that can be gathered, segmented, stored, and accessed quickly. This results in underwriters missing critical information that could significantly affect a borrower’s risk profile. Using Artificial Intelligence, Machine Learning Algorithms, and other related technologies, automated underwriting software enables lenders to make underwriting decisions more quickly, with increased accuracy, and with minimal human intervention. It is accurate, faster, and more reliable than manual underwriting. In order to make an analysis report, the automated underwriting system automates the entire loan approval process, from extracting data from various underwriting documents to matching it with third-party data from other financial institutions, like banks, creditors, lenders, and so on. FinDecision- A mortgage industry “one of a kind” product that exceeds customer expectations Tavant’s FinDecision is an AUS automation and underwriting platform that enables lenders and loan originators to achieve operational efficiency through optimized intelligent business processes and workflow orchestration. It is a core component of its straight-through processing and automated underwriting. It enables lenders to optimize loan fungibility and execution while maintaining operational efficiency. FinDecision leverages machine learning and process automation to submit loan data to automated underwriting systems with a single click, enabling lenders to see the full scope of operational benefits available to their borrowers and thereby improving the overall borrower experience. Through automation, lenders can reduce downtime and costs while improving loan quality. FinDecision compares investor guidelines, multi-AUS response, and loan data. It also provides a list of the most common questions and answers for first-time home buyers. The platform automates the underwriting process, powered by AI and machine learning algorithms. The platform eliminates human errors, keeps data up-to-date, and provides real-time insights to lenders. This revolutionary software provides a single view, side-by-side comparison of investor guideline responses and offers 360-degree insights on the various segments of loan data (Income, Asset, Collateral, Credit, Borrower). FinDecision automated data quality check (lender, investor, and origination channel-specific) enables the loan processor to prep the loan file instantly and review data inconsistency and quality checks. It automatically updates the loan data according to the investor’s requirements (data mapping and representation). FinDecision enhances loan quality and improves the overall borrower and lender experience. It offers an automated, one-click approach to achieving loan fungibility and pricing best execution on the one hand, and operational best execution on the other, during the loan’s processing, underwriting, and secondary market stages. It is a core product within Tavant’s Touchless Lending platform and is Loan Origination System (LOS)-agnostic. Wrapping up To remain competitive, lenders should speed up underwriting transformation. Automated underwriting evaluates risk and underwrites loans using a technology known as automated underwriting systems (AUS). It has the potential to accelerate and simplify the loan approval process for both lenders and borrowers—it is not an exaggeration to say that automated underwriting brings the mortgage process into the twenty-first century. Tavant’s AUS automation and underwriting platform, FinDecision provides an intuitive way to eliminate hard-coded legacy IT systems. It compiles findings to credit conditions and compares them (existing vs. new). What Next? Schedule a demo with Tavant today, visit us here or reach out to us at [email protected].
Cloud Service Providers Accelerate Public Cloud Maturity Across Vertical Industries
The State of Cloud Adoption 2022 – A survey-based research study by IDG Research and Tavant Tavant, in collaboration with IDG Research, conducted a comprehensive research study among 255 large enterprises’ CIOs, CTOs, and Senior VPs to identify cloud adoption trends. The study’s goal was to understand the cloud computing landscape in the United States across a wide range of industries. Automotive, discrete manufacturing, e-commerce, financial services, food and beverage, healthcare, process manufacturing, retail and wholesale, and travel were among the industries represented. Hurdles to Cloud Deployment Being Leap-Frogged Tavant and IDG Research found that businesses are increasingly embracing cloud tools, industry frameworks, and infrastructure automation tools to improve time to market and ROI. Security, legacy migration, cloud governance, and infrastructure maintenance are all common concerns that are now being addressed through improved practices such as outcome-based shared services models and industry-specific cloud-based solutions. Development, security, and operations processes (DevSecOps), which work with cloud tools, are becoming increasingly important in the development and management of cloud applications. The top cloud adoption barriers are security (52%), legacy IT infrastructure (29%), insufficient budget (28%), regulatory concerns (27%), and uncertainty about cloud benefits (27%). (23 percent ). Business agility is a key motivator for 93 percent of US organizations polled to adopt the public cloud. The secondary reasons are increasing revenue through innovation (81%) and lowering costs (8%). (77 percent ). Currently, 43 percent of respondents have a hybrid cloud or multi-cloud strategy in place. Nearly 40% of organizations use DevSecOps extensively across their entire technology footprint, while 37% use DevSecOps for specific programs. Industry Focus Makes Cloud Adoption Favorable Today’s cloud service providers continue to bring significant innovation to the banking, manufacturing, and hospitality industries, with cloud frameworks, tools, and best practices developed for specific industries. 53% of BFSI companies have a hybrid or multiple cloud strategy in place, and 58% plan to use CSPs extensively, mainly for new workloads Manufacturers are ahead of other industries in cloud adoption, with 75% having strategies in place. 78% of retail and wholesale firms and 59% of advertising, media, and entertainment businesses are actively developing their cloud strategy Cloud Innovation Becomes Industry Oriented Innovative cloud services, including, AI and analytics, are favored by hospitality, food and beverage, and travel Industries such as publishing, PR, advertising, media, entertainment, and broadcasting are banking on Cloud Data Services for expanding their end-user base and enhancing customer experience. The Agtech industry is actively looking at adopting IT service management for better business outcomes and a sustainable future. The Future is on the Cloud The advancement of business maturity in cloud implementation has resulted in a better understanding of the benefits, which include increased business agility, revenue through innovation, lower costs, and improved TCO. Click here to get your copy of the Research Report. Learn more about Tavant Evolvx, a high-touch offering that seamlessly intertwines standard data models, crosscloud connectors, workflows, APIs, and industry-specific components to meet your unique challenges.
Unlocking the Ability to Adapt with Digital Lending Solution
Long queues. Tons of paperwork. Mortgage and too much hassle. The traditional lending ecosystem is fraught with inconveniences in a world where instant gratification in consumer delivery is the new normal. It lacks agility and flexibility to meet the needs of the new consumer. Fintech organizations are far more technology-enabled. They utilize advanced technology to deliver efficient, fast, and flexible financial services to consumers. No wonder fintech is fast disrupting traditional service providers and growing at an unprecedented rate of 9.2% to nearly $158,014.3 million by 2023. The changing landscape of lending Traditionally, when borrowers in need of capital approach lenders, they are provided standard options–a folio of one-size-fits-all loan products. Without deep insights into consumer needs, these loan products cannot meet each potential borrower’s specific and unique credit needs. There is no differentiation in loan products, and all traditional lending entities are fighting for the same piece of the pie. Add to this the often-prohibitive service cost – making loans economically unviable for many borrowers in the market. Furthermore, the approval process is too time-consuming and complex, undermining the needs of credit seekers who require the loan immediately. Naturally, easy access to credit is one of the biggest challenges in the global lending ecosystem. This is where digital lenders come with an advantage. Digital lenders have a competitive advantage over traditional lenders as they have new-age technology and data capabilities that make lending far more quick, efficient, and data-driven than ever before. Paving the path to an equitable financial ecosystem Digital lending creates a more inclusive financial ecosystem and delivers loan products and services to underserved and previously excluded individuals and businesses. New-age technologies and data drive innovation in digital lending. Simultaneously, data analytics is also ensuring less risk in the digital lending space. Even policymakers are encouraging the development of new and agile loan products to serve the businesses. Fintechs, often equipped with digital lending capabilities, have changed the game for borrowers. They give remote access to credit in a brief time. Additionally, underwriting is easier and more data-enabled than ever before. This efficiency of digital lending is a game-changer in the global lending landscape, opening new routes to ease access to credit for all borrowers, irrespective of their creditworthiness in the traditional sense of the term. A wider circle – Correlation of data opening new revenue opportunities for digital lenders Digital lenders no longer rely on manual underwriting processes. Instead, they use financial transactions and FICO® credit scores to identify risk factors. There are also new and innovative risk repayment methods, from real-time payment deductions to standard mortgage paid conveniently via apps. These digital methods enable fintech organizations to collect and analyze additional data about their customers for customer-centric decisions. These include determining credit limits, holistically understanding their ‘customers’ financial needs, and delivering new and innovative financial products that serve the unique needs of each digital-savvy customer. The Way Forward Digital lending is redefining the dynamics of the credit ecosystem. With lower costs and improved reach, financial institutions can do more with less. However, digital lending also requires a robust long-term strategy to be truly safe and risk-free. The lending journey does not end with disbursement; loans also need to be collected, serviced, even restructured, and renewed as time passes. With so many moving parts, digital lending requires careful planning to avoid the risk of a false start for financial institutions. Process automation, new and intelligent technologies such as AI and ML, and intelligent data analytics are at the heart of a wholesome digital lending strategy. What next? Tavant can help lenders diversify how they do business and effectively unlock savings with next-gen technologies. To learn more, you can reach out to us at [email protected] or visit here. FAQs – Tavant Solutions How does Tavant help lenders adapt their digital lending capabilities?Flexible, modular platforms with API-first architecture, configurable workflows, and scalable infrastructure for rapid adaptation to regulations and market demands. What adaptation capabilities does Tavant offer for digital lending transformation?Rapid deployment, customizable UI, integration options, configurable business rules, real-time analytics, and continuous optimization. Why is adaptability important in digital lending?Rapid regulatory, customer, market, and tech changes require flexible systems for quick response and innovation. What makes a digital lending solution adaptable?Modular architecture, configurable workflows, API-first, cloud-native, real-time analytics, and easy third-party integration. How long does it take to implement digital lending solutions?3-6 months for basic, 12-18 months for fully-customized systems; cloud solutions deploy faster, some basic setups in weeks.
Going Up! Industry Clouds have arrived
Recent historical events have shifted global business priorities, speeding up the digital transformation process. Remote work across continents and stronger collaboration with all stakeholders, including customers and employees, have spurred innovation and value-driven cloud technology offerings. While organizations were figuring out the best cloud technology applications and their implications, a new and efficient cloud solution emerged. It’s called the industry cloud. WHAT IS AN INDUSTRY CLOUD? An industry cloud provides cloud computing services tailored to a specific industry or business model. Industry clouds are highly curated environments that stack cloud technologies. THE DRIVE FOR INDUSTRY CLOUDS AND ROLE OF CLOUD SERVICE PROVIDERS (CSPs) Initial adoption of cloud technology was driven by cost, storage, or processing support. But as more enterprises moved to the cloud, many found that deployment and usage were often erratic or inconsistent. The need for an industry cloud arose when certain industries realized they needed a more tailored IT solution for security and compliance. And the Industry cloud was born. According to Gartner, Industry cloud ecosystems and data services are driven by increasing geopolitical regulatory fragmentation and industry compliance. Businesses today expect the same level of customization in the cloud as they do on-premises. To enable this, cloud service providers (CSPs) now offer a hybrid strategy that includes industry-specific solutions and cloud infrastructure maintenance. INDUSTRY CLOUDS… SOME EXAMPLES Today, cloud hyperscalers are partnering with industry-oriented cloud service providers to build specialized environments. Microsoft, for example, has worked with partners to develop supply chain solutions for the industrial industry through Microsoft Azure Cloud. Similarly, Microsoft Azure has now built industry clouds for financial services, retail, and other industry verticals. In the construction and real estate industries, industry clouds can comprise solutions for model management, collaboration, estimate, scheduling, site management, and more. This level of industry cloud specialization allows firms to focus more on their core business while still being able to derive the benefits of cloud computing. Salesforce introduced the ‘Revenue Cloud’ this year. The industry cloud is aimed at businesses that need to consolidate customer transactions. The revenue Industry cloud combines CPQ, billing, B2B commerce, and channel software products to offer everything from renewal to revenue recognition (PRM). BENEFITS OF THE INDUSTRY CLOUD Businesses prefer industry cloud computing over a “one-size-fits-all” cloud model for a more specialized environment. Besides niche data security, organizations want to closely align with customer priorities, for example, Banking as a Service (BaaS), Agtech Cloud (AgTech), and Health Cloud (Health Cloud). With the rise of mobile devices, the cloud market needs new and efficient apps. Customizable Offerings Industry cloud solutions are custom-built beyond security and compliance to address individual business outcomes. These solutions are also critical when integrating public cloud computing with on-premises resources in hybrid architectures. Product-Centric Approach Organizations today are becoming product-centric, agile in operations with better time to market, and composable architectures with a pay-per-use model. Leaner Footprint Industry cloud solutions are popular for SaaS deployments. As a result, many legacy IT providers can benefit from leaner data center footprints. Improved Functionality Industry-specific applications enable higher levels of technological efficiency, functionality, and performance. An industry cloud product for healthcare, for example, could securely manage electronic health records or parse medical images. Advanced Security Businesses are increasingly concerned about data security online. Industry clouds offer superior levels of security and compliance over traditional cloud offerings, allowing CIOs to rest easy. INDUSTRY CLOUDS AND THE FUTURE The future of industry clouds depends upon the cloud vendors’ ability to customize cloud technologies by business needs. According to Techaisle’s research, SMB and mid-market cloud adoption will increase by 121% increase in the US over the year. Industry clouds are ready to help organizations leapfrog their digital transformation journey and accelerate technology transformation where it is most needed. A new generation of industry cloud providers will help businesses innovate faster by providing customized applications and services.
Six IoT Testing Challenges for Testing Experts
Introduction The Internet of Things (IoT) refers to physical objects embedded with sensors and software that can exchange and collect data over a wireless network. The Internet of Things brings many consumer benefits, like simple remote control, automation, etc. It also brings added software complexity and security risks that require significantly more testing than in the past. IoT devices have evolved to look more like traditional cloud applications, with code that runs in the device itself, as well as an array of dependencies that interact with the outside sources of data such as time or weather. These dependencies can make devices expensive, difficult, and time-consuming to test as it involves real-time sharing of data and collaboration. A study says that more than 6.4 billion Internet of Things (IoT) devices were in use by 2016, and that number will grow to more than 20 billion by 2026, which means that our planet will soon have more connected devices than the human population. Testing these IoT devices becomes quite challenging because of the variety and volume of data this system generates, the heterogeneity of the working environment, and the complexity of the number of working components involved. Challenges in IoT Testing One of the tough challenges for manufacturers and integrators is testing these devices. Let us discuss some challenges associated with the testing of IoT devices: Communication Protocol: IoT devices use various communication protocols such as MQTT (Message Queuing Telemetry Transport), XMPP (Extensible Messaging and Presence Protocol), etc. These protocols aid in the establishment of a connection between devices and servers. Tools/Tech that the testing team is planning to use should support these communication protocols so that APIs written on top of these protocols can be effectively validated which interacts with these devices. Multiple IoT cloud platforms – Azure IoT, IBM Watson, and AWS are the most used cloud IoT platforms that help connect different components of IoT devices. These devices need to be tested across the cloud platforms to ensure their effective usability. In a cloud platform, we have different IoT devices with different capabilities, these devices generate data that can be structured or unstructured and will be sent to a cloud platform.When more devices are deployed on the cloud platform, it becomes difficult to replicate a real-time environment for testing, since there can be a lot of devices that need to be tested on different platforms. IoT security and privacy threats – IoT devices are the most vulnerable to cyber-attacks. Most users think that it’s a manufacturer’s responsibility to secure their devices and, therefore, do nothing to protect them. Cyber-attacks are very common across IoT devices, and security is an important aspect today. Wired systems are much less accessible than non-wired systems. Therefore, one challenge to moving into IoT solutions is that companies open themselves potentially to more risks unless they have a perfect security strategy in place. Beside functional and performance testing, special attention should be paid to the device password policy, data protection, data encryption, regular firmware, or software upgrade testing. Device Diversity – With so many brands, models, versions of the OS, Screen size, etc., it is a challenge to test an IoT application that works perfectly across all devices for all possible combinations that are not practical. Each IoT device has unique capabilities and may perform better in some environments and platforms than others. As a result, they must be tested across platforms for effective usage, and it is critical that we have good test coverage across dozens of devices. There is also a challenge with the version upgrade for the IoT devices along with their software and firmware updates. It becomes critical to test the devices across the IoT platforms with their latest software to ensure all the components are working efficiently after the update. Network Availability (Always online) – Network configuration essentially affects the performance of an IoT device because IoT is all about rapid communication and that too consistently all the time. Though, at times devices experience troubles with network configurations like unreliable internet connections, hindering channels, etc., which poses a challenge of how to test it in all possible network conditions. Data Volume, Data Variety, and Data Velocity (Real-time data testing) – Sensors on all devices simultaneously generate massive data (this data is significantly intricate and unstructured that involves appropriate cleaning of it for the end processing). IoT will be dealing with that data and different varieties of data that cause significant challenges. Gathering, organizing, and evaluating this disintegrated data is not easy as the volume of data can be boosted at any time. Conclusion: There are numerous other challenges to consider in addition to the ones mentioned above. Hardware quality and safety concerns are among other challenges that the testing team faces while testing IoT applications. Building stable and quality IOT applications might seem overpowering and a huge task, but it can be made simpler by proper planning, splitting it down into separate sub-tasks, and setting up a rock-solid test environment to manage cloud and virtualization strategies.
Top Blogs and Webinars from 2021-Connected Service and Warranty
As we close the year 2021 (and what an incredible year it was), here is a list of our most popular blogs and webinars from this year – the ones our customers showed the most love to, and that answered the most pressing questions. Enjoy! Blogs 1) From Cost Center to a Competitive Advantage: Warranty Management in Manufacturing Today Once considered a cost center, warranty management is taking the front seat in creating seamless aftermarket service experience. 2) Electric Vehicles and their Impact on Automotive Warranty Management The transition to smarter electric vehicles and the potential phasing out of combustion engines is likely to be a game-changer for many. 3) Futuristic Tech: Turning the Wheels of Manufacturing Learn about the advancements in the manufacturing industry with Drones, AR/VR, IoT, and much more for better processes, performance, and protection. 4) Data Analytics: A Catalyst for Change in Service Life-cycle Management Today AI and analytics is critical in addressing service life-cycle challenges, increasing transparency, and creating a rich aftermarket experience. 5) Making Warranty Management Profitable for Manufacturers Traditionally manufacturers offered warranties to buyers to assure them of the quality and longevity of products or services. The industry has progressed a long way. Webinars 6) Connected Service Life-cycle – The Flywheel Effect Opening session at WCM Experience by ‘Women in Manufacturing’ from Tavant, on how smart and simple changes in after-service processes like customer support, service request, service planning, service execution and field service, spare parts management, warranty management, and recalls can create exponential value and set the flywheel to spin faster. 7) Panel Discussion: Service Analytics – Make that Data Work for You! Smart learning models are getting more accurate and changing the way service analytics is driving decision-making. This session explores the decisions that impact machine uptime, service parts pricing, equipment failure, and maintenance demands. 8) Panel Discussion: Service and Sustainability – Reduce, Recycle, Reuse! Timely Service data and insights can impact the bottom line in three ways – fiscal, societal, and environmental. In this session, the speakers from varied Manufacturing backgrounds discuss how service data can benefit sustainability. 9) Connected Warranty and Service in Automotive Industry A discussion on the Automotive warranty trends, the impact of innovative technologies and connected data, and how the Automotive industry is redefining service through connected and optimized service platforms. 10) The Learning machine: Transforming Customer Experience Using Data, Warranty, and Service Contracts Opening keynote by Bob Roberts, Customer solutions leader, Trane Technologies at WCM Conference. Service excellence in a manufacturing and aftermarket industry dictates decisions be made using near-real-time information. To provide a rich and seamless experience to their customers, manufacturers need to improve data visibility, the backbone for delivering cutting-edge services.