Category: BFSI

LoanGenie - Your WhatsApp Loan Bot

Transform Loan Disbursement with LoanGenie – Your WhatsApp Loan Bot

In today’s fast-paced financial environment, providing swift and seamless loan services is essential for staying competitive. Introducing LoanGenie, a groundbreaking WhatsApp loan bot designed to revolutionize the way personal loans are pre-approved and disbursed. Developed by experts with deep experience in the BFSI sector, LoanGenie leverages the convenience of WhatsApp to deliver a fast, efficient, and user-friendly loan service to your customers. Product Features LoanGenie offers a robust set of features to streamline the loan approval and disbursement process: The Importance of LoanGenie In the competitive banking landscape, LoanGenie offers distinct advantages: 1. Accessibility: With WhatsApp being widely used, customers can access loan services effortlessly from their smartphones. 2. Speed: Accelerate the loan approval process, ensuring customers get the funds they need quickly. 3. Convenience: Provide a seamless, user-friendly experience, eliminating the need for customers to visit a bank branch. 4. Engagement: Enhance customer engagement with personalised, real-time interactions. Benefits for Banks Implementing LoanGenie brings multiple benefits for banks: Case Study: Leading Bank Adopts LoanGenie A leading commercial bank recently integrated LoanGenie into its loan disbursement process. Before implementing LoanGenie, the bank faced challenges in providing quick loan approvals, leading to customer dissatisfaction and a high drop-off rate. Here’s how LoanGenie made a difference: Call to Action Ready to revolutionize your loan disbursement process? Discover how LoanGenie can enhance your customer experience and streamline your operations. Contact us today to learn more about this innovative WhatsApp loan bot and how it can benefit your bank. Enquire Now and take the first step towards transforming your loan services!

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Transform Your Credit Card Management with Smart CardHub

Transform Your Credit Card Management with Smart CardHub

In the ever-evolving world of banking, providing efficient and user-friendly credit card management services is crucial. Introducing Smart CardHub, a revolutionary PWA-based (Progressive Web App) solution that offers a seamless, comprehensive platform for all your credit card management needs. Developed by INT., a company with 26 years of experience in the BFSI sector, Smart CardHub is designed to elevate your customer service experience and streamline credit card management for your bank. Product Features Smart CardHub offers an extensive suite of features, ensuring a hassle-free experience for your customers: The Importance of Smart CardHub In a competitive banking landscape, Smart CardHub stands out by offering: 1. Convenience: Customers can manage all their credit cards from a single platform, accessible anytime and anywhere. 2. Security: Advanced security features like tokenisation and instant card blocking protect against fraud. 3. Efficiency: Automated processes and real-time updates save time and reduce manual effort. 4. Flexibility: Customisable settings cater to individual customer needs, enhancing user satisfaction. Benefits for Banks Implementing Smart CardHub offers numerous benefits for banks: Case Study: Leading Commercial Bank Adopts Smart CardHub A leading commercial bank recently integrated Smart CardHub into its customer service offering. Before implementing Smart CardHub, the bank struggled with providing a seamless credit card management experience, leading to customer dissatisfaction and increased support calls. Here’s how Smart CardHub made a difference: Call to Action Ready to transform your bank’s credit card management services? Discover how Smart CardHub can elevate your customer experience and streamline operations. Contact us today to learn more about this innovative solution and how it can benefit your bank. Enquire Now and take the first step towards revolutionising your credit card management services!

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Face the future

Face the Future: Biometrics and the Evolution of Payment Security

When financial inclusion still stares at us like a bobbing watchword, then the times call for revolutionary and more advanced measures. Agreed, a lot has been done, right from integrating external platforms with financial services and banks to mobile wallets, online payment solutions, and even contactless payment services. Yet, a lot more has to be done as will be agreed upon the world over. There is another looming watchword that is fraud or cyber risks that threaten payment ecosystems globally too. In this context, another innovation that promises to transform the future of payments in terms of security and convenience can be biometrics. Picture biometric in-store payments and checkouts across the entire financial services spectrum. Sounds fascinating doesn’t it? Well, it could be closer to reality than you think. How Biometrics are Gaining Momentum Worldwide Multiple aspects are driving the potential adoption of biometrics for payment systems across the globe. These include soaring figures in terms of mobile usage, 5G and other technological advancements (equates to higher bandwidth for businesses and customers alike), and refined artificial intelligence (AI) frameworks. In fact, the good part is that biometrics are not expected to bring about a paradigm shift in terms of hardware and equipment. Rather, it will be driven more by the incremental evolution principle, starting from continual tech improvements to higher usage. Changes are afoot throughout the financial services ecosystem, right from face IDs and facial recognition to voice recognition, and even fingerprints. Yet, with consumers inputting a higher quantum of data into their devices, which includes social, lifestyle, and health data, MFA (multi-factor authentication) patterns will keep improving, thereby bringing about higher personalization. Those looking at leveraging these developments have to naturally counter security threats and rising risks. As a result, varying biometric patterns have to be combined uniquely to keep fraud at bay, while enabling secure and reliable payment and transaction systems for customers. Considering how banks and financial services, not to mention consumers, keep losing billions in fraud each year, it is imperative that a biometric-driven solution is found for fostering trust throughout the ecosystem while enabling businesses to enhance their profitability simultaneously. What’s Happening in the Space? From biometric in-store payments to other groundbreaking experiments, there is plenty happening in this space as we speak. Amazon Web Services (AWS) is already off the block with its Amazon One Enterprise. This uses palm-based identification for combating security issues while aiming at transforming access to various institutions, airports, offices, hotels, and more. This could well put passwords and ubiquitous badges into the past, especially if it gets integrated into something as essential as payments. MasterCard and NEC Corporation are also looking at biometric in-store payments. NEC is offering its liveness verification and face recognition tech with payments enabled by MasterCard as a part of this important collaboration. This takes care of the overwhelming consumer need for quicker checkouts at stores. The Biometric Checkout Program, as it is called, is aimed at enabling PIN-free and faster transactions. Conventional authentication methods are not fool-proof and that is where the gap lies for palm or face-based authentication to become change agents. It will bring about the next big change in validation of transactions by consumers and financial entities alike. Close to 60% of online purchasers are already adopting biometric-based authentication in the United States and the number promises to swell even more in the coming years. Some Other Vital Sides to the Coin The MasterCard-NEC collaboration has already spread to the Asia-Pacific and is looking at leveraging the fast-growing digital ecosystems in the region. It is also significant, considering how 82% of Asia-Pacific consumers are already making use of biometrics in some form. However, there are hurdles that are increasingly eating into the equation, such as privacy issues, data protection, and evolving regulatory changes. An easier integration of facial recognition and palm-based identity solutions for daily transactions and payments will ultimately build a world where passwords and physical identification will no longer be required. With more consumers and businesses eager to adopt this revolutionary system of payments, there is a strong need to find the right balance between ensuring higher security and driving innovation. Facial Recognition Adoption Increases Worldwide Owing to concerns regarding security, accuracy, and other privacy-related worries, the advent of facial recognition technology in the payments space was perceived skeptically at an initial stage. However, these look to be ironed out as more companies make inroads into the space. Ant Banking, the banking entity of Alibaba, was one of the very first organizations to make use of facial recognition for making payments. In fact, customers at Chinese KFC restaurants could make payments as early as 2015 through smiling at cameras. This was enabled under the Smile to Pay facial recognition system of the company. Tencent, another digital entity from China, also integrated facial recognition tech into its WeChat Pay payments system. This enabled all users to seamlessly authorize transactions with their faces alone. MasterCard also came up with the MasterCard Identity/Check feature, which enabled users to make use of face recognition/fingerprint technology for online purchase verification purposes. Apple also came up with its Face ID technology in 2017, which enabled iPhone X owners and other models to take care of payment authentication with face-based biometrics. Facial recognition has been integrated as an authentication system in several mobile payment apps. Transactions can be readily authorized through looking into the camera of the device. POS (point-of-sale) systems are also functioning through consumer payments being done for goods and services by showing their faces to cameras with facial recognition tech which may be added to traditional POS systems. Retailers and service providers may also adopt self-service kiosks with this technology where customers can get access to financial services and payments solutions by going through facial verification at these outlets. Facial recognition is also being used by e-commerce or online merchants for enhancing security at the time of transactions. PIN-based ATM and online banking identification is also being swapped by facial recognition these days across the world. Advantages

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Closing the gap

Closing the Gap: How Embedded Finance Can Bridge the Financial Inclusion Divide

Financial inclusion is one of the most pressing issues today for the world at large, not to mention Governments and banking and financial services companies. While several measures have been adopted over the last decade or more to enhance the inclusion quotient, embedded finance promises to be a cutting-edge option to bridge the divide like never before. What is Embedded Finance? Embedded finance is a unique integration of various financial products and services into platforms of a non-financial nature. Daily products and services such as booking or e-commerce apps can be transformed into potent financial tools with this strategy. People can thus get access to insurance, lending, banking, and other services within their commonly-used applications and platforms. This does away with the need for conventional brick-and-mortar banking or financial services outlets/branches. Embedded finance taps into technology for filling up the gap between the industry and underserved populations, thereby unlocking newer growth opportunities, empowering more customers, and fostering overall economic growth alongside. Financial inclusion matters immensely, since it is one of the core catalysts of economic progress and growth. Embedded finance in the form of a service has already transformed into a robust tool for widening inclusion throughout India, with its market size estimated at more than USD$5 billion. Fintech is already taking this route with a view towards boosting access to financial solutions for those living in remote or underserved areas, particularly the rural regions of the country. Advantages Offered by Embedded Finance Here are some of the biggest benefits that embedded finance can bring to the table in this case. Newer value chains are increasingly being created throughout the industry. For example, PhonePe, Paytm, Google Pay and other fintechs have integrated with numerous merchants while also providing digital wallets. Users can now easily pay for their transactions while some fintechs also offer loans to customers backed by data embedded into their platforms. Embedded finance as a service will broaden the scope of financial inclusion in India while unlocking newer opportunities for growth and value chains simultaneously. There will be no more geographical or physical divides, with easily accessible financial services and credit facilities even for those without credit histories or collateral. If you just consider WhatsApp in this case, consider how it has become a financial solution with a customer base exceeding 487 million people in India alone. WhatsApp now enables sending money to others, turning into a payment platform as a result. This is one of the examples how embedded finance can be versatile in terms of diversifying financial service access. The IRCTC (Indian Railway Catering and Tourism Corporation) application is another example. It does not only enable train ticket bookings, but also provides insurance and credit choices, making it a financial option for several travellers. Even e-commerce platforms like Flipkart and Amazon have also transformed into financial platforms for several customers. They now offer provisions for installments while paying for products, or even loans for purchases. If you look at it from all sides of the coin, embedded finance has not just been filling up gaps in terms of financial inclusion, but also positively impacting the lives of innumerable people in India. FAQs Will cognitive automation replace human jobs? It is anticipated that cognitive automation, instead of replacing human jobs fully, will enable workers to get tasks done in quicker time, while maximizing their core productivity and reduce losses due to errors or inaccuracies. How is cognitive automation used in different industries? Cognitive automation is used in various industries by companies for automating complex processes and other tasks. They can thus enable more efficient and accurate decision-making at all levels while lowering costs, reducing manual labor, boosting employee efficiency levels, and scaling up market competitive advantages. How does embedded finance leverage technology to reach underserved populations? Embedded finance integrates financial transactions and tools into non-financial ecosystems/platforms. This helps users easily access financial services without engaging with dedicated financial entities. Existing channels can thus be tapped for reaching out to underserved populations.   Can embedded finance contribute to building credit histories for those without traditional banking relationships? Embedded finance can contribute towards building credit histories for those who do not have conventional banking relationships. It can do this by gathering and evaluating data and basing credit disbursal decisions on alternative underwriting parameters like mobile device data and usage patterns, as just one example. How can embedded finance contribute to bridging the financial inclusion gap? Embedded finance can contribute immensely towards bridging gaps in financial inclusion. It can open up financial solutions for underserved populations across non-financial platforms/applications without them having to engage with financial services institutions. They do not have to worry about lack of physical access and geographical divides with regard to accessing loans, payments, investments, and other services.

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Frictionless future

Frictionless Future: How Open Banking is Transforming Retail Payments and What to Focus on in 2024

Retail payments and the overall retail banking space may witness a major transformation in 2024 from a global perspective. Open banking facilitates banks and financial institutions to share data seamlessly with third-party financial entities via open banking APIs. These third parties may include several lending firms, expense-tracking entities, and more, which use this information for creating a broader range of products and services. The ultimate beneficiary may the customer, since this open exchange of data will enable contemporary financial services entities ensure more client-centric and personalized solutions. Open banking is growing rapidly and steadily into a mainstream framework for banking and financial institutions. There have been several reports of how open banking payments have doubled in 2023 across the UK as compared to earlier periods and also how 1 out of 9 consumers are already making use of open banking currently. Account-to-account payments have also garnered aa major chunk of online payments while future projections indicate future growth. By 2024, open banking may become a key component of retail payments and the whole retail banking spectrum. Here’s getting a closer glimpse into the same. A Little More About Open Banking Open banking is a system where banks open their APIs or application programming interfaces, enabling third parties to conveniently get access to financial data required for the development of new programs and services  while enabling more transparency choices for account-holders. Some instances include BBVA launching Open Platform, its own BaaS platform in the US in 2018. This helps third parties offer financial solutions to customers without requiring a full banking service suite. HSBC also launched Connected Money as an app in 2018. Customers can easily view their bank accounts, mortgages/loans, and credit cards at a single place. Barclays also enabled account aggregation within its app for mobile banking. Customers here can view their accounts with other banks on the Barclays mobile banking app. What are the Advantages of Open Banking? What are the benefits of open banking for the retail banking system as a whole? Here’s looking at the same. 2024 Predictions for Open Banking Here are some of the key trends that can be anticipated in the open banking sphere in 2024 and beyond. Hence, as can be seen, open banking will enable numerous advantages and transformations worth looking forward to in 2024 and beyond, not just in the sphere of retail payments, but also retail banking as a whole. It will create a more connected ecosystem where consumer experiences are also swift and more personalized. The whole process will bring about lower costs and higher efficiency for financial services players and banks alike. FAQs Are there security concerns associated with open banking in retail payments? There are some security concerns that are linked to open banking for retail payments, keeping data privacy requirements at the forefront. These are majorly maintaining privacy with encryption and other measures and Cybersecurity measures in general. This is because customer data will be shared in this case with third party providers. Does open banking just cover payments? Open banking does not only cover retail payments and makes them simpler and more convenient. It also has various use cases pertaining to credit checks, personal finance, verifying identity, personalized services for consumers and more. How does open banking foster innovation in the retail payments sector? Open banking enables greater innovation in retail payments through enabling third party providers to readily access bank information/data. It can thus spur innovation which leads to more efficient and personalized consumer experiences. How does open banking impact the user experience in retail payments? Open banking has a major impact on user experiences in the retail payments space. It will make payments easier and smoother without multiple security steps and processes. It will also ensure secure and quicker payment choices for users. How does open banking contribute to making retail payments more frictionless? Open banking contributes greatly towards making retail payments frictionless and free from any hassles. It enables direct bank payments and these can be accepted from customers by merchants on their channels in a swift and secure manner. There are several steps and processes that customers or merchants do not have to go through in this case.

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How Indian BFSI Firms are Thriving through Data-Driven Strategies

How Indian BFSI Firms are Thriving through Data-Driven Strategies

BFSI firms in India are innovatively leveraging data-driven strategies to thrive and flourish in recent times. Online banking has already generated customer expectations regarding cutting-edge services irrespective of location and time. Open banking and embedded finance have also raised the bar further, enabling customers to get credits through non-bank enterprises. Open banking is also enabling third-party access through APIs to financial information. With the increase in advanced banking operations, customers are steadily expecting their institutions to anticipate their needs better.  At the same time, another indicator for BFSI firms about using data analytics in BFSI is to enable better customer experiences for future growth. A Salesforce report in 2019 covered 8,000 business customers and buyers globally and reported how 84% of customers feel that customer experiences are as crucial as the services and products offered by any financial institution. Data shared across multiple touch points and channels have thus opened up several new opportunities for BFSI players throughout the Indian finance sector to flourish amidst a competitive landscape.  How Data-Driven Strategies are Helping BFSI Firms Flourish  Data analytics in BFSI and other data-driven strategies are enabling BFSI firms in India to thrive and grow in the present scenario. Here are some pointers worth noting in this regard.  It is a fast-changing world that necessitates the usage of data-driven strategies across the board for BFSI firms. The digital banking platform segment is already expected to grow by a whopping 11.2% (CAGR or compounded annual growth rate) from 2021 to the year 2026. Bots are leveraging data to provide better customer service across touchpoints without requiring branch visits or conversations with agents. They can service customer requests easily while handling other activities seamlessly.  Conversational AI platforms are also using NLP that is integrated with IVR systems. These systems can take calls by answering repetitive questions and prevent any customer panic. Customers are assisted in swiftly resolving queries while calls that are complex are transferred to agents. Banks are offering branch-like services with data-driven strategies, building customer profiles/personas, predicting behaviour, and recommending ideal financial services and products.   Fraud detection and security models are trained on continual incoming data, helping BFSI firms know more about normalised activity levels, transaction anomalies, deviations, and more. Another method is behavior profiling which studies customer data and accounts to build profiles and understand where/what kind of transactions have taken place. Prescriptive analytics also helps leverage the data that is gathered by predictive analytics to recommend the measures to be taken once fraud is identified. These are some of the many ways in which data-driven approaches are helping BFSI players thrive in an increasingly competitive Indian finance sector. As they say worldwide, data is the new oil and it will soon be the differentiator and competitive advantage that companies in every sector will want to harness, banking and financial services included.  FAQs What key benefits do Indian BFSI firms experience through the adoption of data-driven approaches?  Data-driven approaches are helping BFSI firms in India obtain several major benefits including the ability to personalise products/services for customers, identify and eliminate fraud, predict risks and manage them accordingly, and a lot more.  In what ways are data-driven strategies enhancing decision-making within the Indian BFSI sector? Data-driven strategies are boosting overall decision-making within the Indian BFSI sector. Banks and financial institutions are leveraging data to make better decisions on granting loans or other products, offering personalised services or solutions to customers, identifying and mitigating risks, and so on. 

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How Generative AI Can Reignite Customer Relationships for Banks

How Generative AI Can Reignite Customer Relationships for Banks

The influence of generative AI in banking has reached profound levels in recent times. The implementation of AI and banking customer experiences today go hand in hand. There is a school of thought that generative AI can reignite and revitalize customer relationships in banking.  Early adopters of generative AI will naturally benefit from its productivity boosts and its impact on customer relationships. Accenture has reported how 90% of working hours in the banking sector may be eventually influenced by LLMs or large language models. 54 % of work timings, as per this report, has immense potential for automation via AI in the future. 30% of employee productivity benefits may also be witnessed by the sector by 2028. Generative AI can influence almost all sectors and aspects of the banking industry. Here’s looking at the same in more detail.  Advantages of Generative AI in Banking  Here is how customer relationships in banking get a boost through AI-powered customer engagement and other benefits of generative AI models.  How do Customers Benefit from Generative AI in Banking?  Generative AI in banking can completely and positively transform customer relationships in banking along with boosting overall engagement levels considerably. Here are some pointers worth noting in this regard.  It is not just about serving customers better. Banks also get several other advantages of using generative AI. They can apply AI and neuroscience-based Gamification to match the cognitive and emotional capabilities of aspirants with job profiles in the company. Using analytics can enable better candidates who are the right fit for banking roles in a more competitive and specialized environment.  At the same time, generative AI systems can also go a long way towards enabling superior employee training and retention. They can analyze employee data to predict future attrition rates and recommend steps for better talent retention. With high turnover costs in the banking sector, these insights will be hugely valuable for most entities. Data quality, of course, is a key cornerstone behind the successful implementation of these applications and also the algorithms used by banks. Hence, there is a growing need to invest in the right AI and analytics talent in order to leverage generative AI in banking to the best possible extent.  FAQs How can generative AI enhance the personalization of banking services for customers? Generative AI is crucial in enhancing banking service personalisation levels for customers. It helps banks suggest the right products/services to customers based on their preferences and needs. It also helps customers get individualized solutions and assistance from support teams.  What role does generative AI play in improving the customer experience in the banking industry? Generative AI plays a major role in enhancing customer experiences in the banking sector. It enables personalized recommendations and advice, along with customized service and support. It helps Chatbots and other tools respond faster to customer inquiries, replicating human conversations and understanding customer intent better.  How can banks use generative AI to predict and address customer needs proactively? Banks can leverage generative AI to forecast customer needs better, based on an analysis of their spending trends, transaction history, and preferences. They can address these needs swiftly and at the right time based on these customer insights.  What are the potential benefits of leveraging generative AI to reignite customer relationships in the banking sector? There are several potential benefits of leveraging generative AI for enhancing customer relationships in the banking industry. These include improved customer experiences and engagement, quicker resolutions of customer problems, personalized customer solutions and recommendations, and more.

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Biometric Authentication: The Future of Secure Banking Access

Biometric Authentication: The Future of Secure Banking Access

Biometric authentication has become a key buzzword in recent years, driven by rapid digitization throughout the banking sector and the need to ensure secure access to sensitive data. Traditional authentication methods and other banking access technology usually revolve around PINs and passwords. However, these are increasingly vulnerable to breaches and challenges faced by users in remembering them. Biometrics in banking offers a robust alternative which makes use of behavioural or physical attributes to ensure secure banking access for customers. A Closer Look at Biometric Authentication  Biometric authentication deploys technology for identifying an individual based on any part of his/her biology. One of the first examples of biometrics in banking was fingerprints, followed by facial recognition. Both these technologies are widely used in recent times via computers and smartphones alike. Bank call centres have started using voice IDs while Apple Play already offers the pay-by-touch feature with its mobile devices. The iPhone 5S also created a revolution in 2013 when it arrived with a fingerprint reader.  There is a massive opportunity ahead for biometrics in banking, especially as a need to ensure secure banking access. Biometric-driven authentication is one of the easiest and most secure options that can be deployed today to ensure widespread customer satisfaction. Biometrics make a strong case for themselves as the future of banking security since they safeguard against the chances of identity theft, takeovers of accounts, and other fraudulent activities. Banks can easily verify returning and new users during the onboarding or log-in procedures. The latter is made simpler and more accurate while costs are significantly reduced by digital onboarding as well.  Key Components of Biometric Authentication  Biometric authentication usually relies upon the following core aspects:  Benefits of Biometric Authentication  Biometric authentication can rightfully be called the future of banking security for the following reasons:  Does Biometric Authentication have Any Underlying Challenges?  Biometric authentication may have a few underlying challenges and hurdles that are worth highlighting. Some of them include the following: Biometric Authentication as the Future of Secure Access Biometric authentication is still poised to become a crucial part of digital transactions and banking operations. Facial recognition, voice recognition, and fingerprint recognition will continue to thrive while biometrics can be integrated further into diverse segments including Government services, healthcare, finance, and more. Several innovations are also underway in this space. To cite an instance, work is ongoing worldwide on advancing behavioural biometrics. This will eventually help identify people based on their interactions with systems or devices. It will ensure an additional layer of security while scaling up convenience levels greatly for customers at the same time.  Biometric authentication will ultimately play a vital role in the future of what we know as secure access. Biometrics in banking will become even more mainstream while it will ensure extra security and comfort for both banking entities and customers alike. Yet, solid security measures and tackling privacy issues should be a priority for those implementing these technologies. Based on reports, there were a whopping 400,000 credit card fraud cases alone back in 2020. This tally did not cover identity theft, takeovers of accounts, and varied cybercrimes. Security is thus highly important for everyone, seeing as so many individuals have been victims of such fraud over the last few years. This is where biometric authentication is poised to play a bigger role in the future.  FAQs How does biometric authentication make banking access more secure than traditional methods? Biometric authentication makes banking access more secure than conventional methods. This is because it relies on the authentication of unique physical/biological attributes of individuals which are hard to impersonate or replicate. At the same time, there is some behavioural biometrics for an additional layer of security as well.  What types of biometric data can banks use for authentication, and how are they collected and stored securely? Banks can use varied biometric data from customers including fingerprints, voice recognition, palm-prints, iris or retina scans, facial recognition, and even behavioral biometrics like typing speed, gait, and keystrokes among others. This data is encrypted and stored securely in banking systems to enable greater safety and convenient access alike.  Can biometric authentication be trusted as a reliable method for protecting sensitive financial information? Biometric authentication can be reliable and trusted to safeguard sensitive financial data. There are no risks of pins or codes being hacked, lost, or forgotten. At the same time, it is harder to impersonate individuals’ unique characteristics. Hence, it can be a safer way to protect financial information.  What challenges and concerns should banks and customers consider when implementing biometric authentication for banking access? Customers and banks should tackle challenges like privacy concerns and data usage along with secure storage and encryption of data. At the same time, false positives or negatives may be another hurdle along with the time and effort required to implement these technologies as far as banking institutions are concerned. 

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Analytics-Driven Personalisation: Redefining the Customer Experience in Banking

Analytics-Driven Personalisation: Redefining the Customer Experience in Banking

Analytics-driven personalisation is the biggest recent trend that has completely changed the game in terms of enabling personalised banking along with improved customer experience in banking. Digital transactions, payments, and banking platforms have completely changed the modus operandi as far as both customers and executives are concerned. At the same time, the higher digital engagement and transaction volumes lead to the generation of huge amounts of data on a daily basis. This is in the form of both non-transactional and transactional information.  Banks are now finding several merits in tapping and analysing this data to gain invaluable insights for positively transforming customer experiences and processes. Technologies like banking analytics are being used in tandem with machine learning, artificial intelligence, and big data analytics to generate the best possible results for banks in this context. Even McKinsey Global has stated how data-driven entities are 23 times likelier to acquire new customers, while being six times likelier to retain them and 19 times as likely to be profitable due to this aspect.  Another key aspect lies in the fact that banking analytics or data analytics in this segment had a value of approximately $4.93 billion in 2021 and is estimated to hit $28.11 billion within 2031 (indicating compounded annual growth rates or CAGR of 19.4%). There are several data or touch points for customers including websites, mobile apps, digital transactions, social media platforms and a lot more. Rich data can be used for redefining customer experiences while also predicting customer engagement and mapping the journey.  How Analytics-Driven Personalisation is the Key Factor When it comes to offering personalised banking and redefining customer experiences, big-data analytics is the key element that institutions are looking to leverage in the current scenario. Here are some pointers worth noting in this regard.  Several banks and financial institutions have multiple products for customers which cater to varying requirements. Redefining customer experiences thus becomes a major differentiator for these financial institutions in order to enhance customer satisfaction and retention levels alike. Gaining a better understanding of customers and identifying gaps or potential issues will also help improve the overall experience for customers while enabling more personalisation at the same time with full scalability.  What are the challenges of data analytics in banking?  There are a few challenges of leveraging banking analytics that institutions also need to be aware of. These include:  However, analytics-driven personalisation is the biggest trend that will completely reshape customer experiences across banks and financial institutions. Customers now engage across several touchpoints and expect more personalised banking solutions and quick assistance and support for their queries. Hence, institutions will have to rely more on data analysis and insights to make better decisions that lead to improved customer experiences and higher retention. However, maintaining a customer-centric approach is the biggest takeaway that banks should keep at the forefront while scaling up data analytics initiatives simultaneously.  FAQs Analytics-driven personalisation greatly enhances the banking experience for any customer. Banks get a full view of the customer profile and specific needs, pain points and requirements. Hence, they can customise their offerings and solutions to meet these needs while solving the pain points and making sure that the customer gets the right solutions at the right time.  Both transactional and non-transactional data are used for driving analytics-driven personalisation in banking. This includes data directly gathered from transactions across multiple channels and also other data from surveys, forms, websites, mobile applications, social media platforms and many other sources.  There are a few considerations and challenges that banks should keep in mind while implementing personalisation through analytics. Data quality and integrity should be a major focus area, since poor quality may completely jeopardise the whole process. Other considerations include data silos, gathering disparate data across systems, integration and dealing with legacy infrastructure.  With more personalised services and engagement, customer experiences naturally improve over time. This leads to higher loyalty and superior engagement since customers get solutions tailored to their needs and their pain points are addressed by banks swiftly due to analytics-driven insights.

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Navigating the Future of BFSI: Insights from Vymo on Market Positioning, AI Impact, Gamification, and Talent Retention

Navigating the Future of BFSI: Insights from Vymo on Market Positioning, AI Impact, Gamification, and Talent Retention

The future of the banking and financial services (BFSI) industry hinges on various factors that leverage advanced technology towards enabling higher progress. Here are some insights from the Managing Director-Asia Pacific at Vymo, Rajesh Sabhlok. Vymo is one of the quickest-growing SaaS entities in the market at present with a novel positioning based on its focus on the financial industry.  This narrowed-down emphasis on the ideal client profile has enabled a deeper understanding of the challenges faced by the sector and sales teams, while ensuring that core solutions cover their requirements and spur higher adoption of users. Let us now look at some valuable insights that deserve closer attention.  Key Insights for the BFSI Industry Here are a few pointers worth highlighting in this space:  Let us now take a closer look at some other valuable insights that should matter to BFSI companies.  Additional BFSI Trends Worth Noting Here are a few more trends and insights from Vymo that should merit closer attention from banking and financial services institutions.  Here are some more emerging trends as per Vymo’s forecasts.  Emerging BFSI Trends According to Vymo Here are a few more emerging trends that are crucial for the banking and financial services (BFSI) sector.  Vymo feels that it has created a unique ecosystem with its digital sales engagement and enablement solutions for sales teams, along with higher user adoption through strategic approaches. It has created a customer-focused post-sales target operating model which has a novel tool kit that ensures better engagement and user adoption levels. The entity is also investing in ML and AI models to enable better user experiences and skill development simultaneously. Customers now have increasing access to reviews, price comparisons, product comparisons, and other information online. Their buying behaviour will naturally be influenced by all these factors. Hence, sales teams and agents should rapidly transform their processes while being digitally enabled to meet the customer shift. Hyper-personalized solutions for customers are the need of the hour throughout multiple touch points. There is a higher demand for more agile approaches that are tailored to individual requirements along with digital-first interactions through portals and apps. Customers now want digital onboarding journeys and automated onboarding procedures. Sales professionals are increasingly looking for more support from AI-based tools to streamline and quicken procedures while lowering their overall workloads. Flexible and usage-based insurance will also be necessary for customers along with pay-as-you-go systems. Insurance companies will also have to increasingly sync their operations with ethical and sustainable practices to connect better with their customers and their specific requirements. These are the core trends that the BFSI industry should witness over the coming decade.

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