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  • How HSBC and ING are transforming banking with AI

    9 novembre 2024, par Daniel Crough — Banking and Financial Services, Featured Banking Content

    We recently partnered with FinTech Futures to produce an exciting webinar discussing how analytics leaders from two global banks are using AI to protect customers, streamline operations, and support environmental goals.

    Watch the on-demand webinar : Advancing analytics maturity.

    By providing your email and clicking “submit”, you agree to receive direct marketing materials relating to Matomo products and services, surveys, information about events, publications and promotions. You can unsubscribe at any time by clicking the opt-out link provided in each communication. We will process your personal information in accordance with our Privacy Policy.

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    &lt;/script&gt;

    Meet the expert panel

    Roshini Johri heads ESG Analytics at HSBC, where she leads AI and remote sensing applications supporting the bank’s net zero goals. Her expertise spans climate tech and financial services, with a focus on scalable analytics solutions.

     

    Marco Li Mandri leads Advanced Analytics Strategy at ING, where he focuses on delivering high-impact solutions and strengthening analytics foundations. His background combines analytics, KYC operations, and AI strategy.

     

    Carmen Soini Tourres works as a Web Analyst Consultant at Matomo, helping financial organisations optimise their digital presence whilst maintaining privacy compliance.

     

    Key findings from the webinar

    The discussion highlighted four essential elements for advancing analytics capabilities :

    1. Strong data foundations matter most

    “It doesn’t matter how good the AI model is. It is garbage in, garbage out,”

    Johri explained. Banks need robust data governance that works across different regulatory environments.

    2. Transform rather than tweak

    Li Mandri emphasised the need to reconsider entire processes :

    “We try to look at the banking domain and processes and try to re-imagine how they should be done with AI.”

    3. Bridge technical and business understanding

    Both leaders stressed the value of analytics translators who understand both technology and business needs.

    “We’re investing in this layer we call product leads,”

    Li Mandri explained. These roles combine technical knowledge with business acumen – a rare but vital skill set.

    4. Consider production costs early

    Moving from proof-of-concept to production requires careful planning. As Johri noted :

    “The scale of doing things in production is quite massive and often doesn’t get accounted for in the cost.”

    This includes :

    • Ongoing monitoring requirements
    • Maintenance needs
    • Regulatory compliance checks
    • Regular model updates

    Real-world applications

    ING’s approach demonstrates how banks can transform their operations through thoughtful AI implementation. Li Mandri shared several areas where the bank has successfully deployed analytics solutions, each benefiting both the bank and its customers.

    Customer experience enhancement

    The bank’s implementation of AI-powered instant loan processing shows how analytics can transform traditional banking.

    “We know AI can make loans instant for the customer, that’s great. Clicking one button and adding a loan, that really changes things,”

    Li Mandri explained. This goes beyond automation – it represents a fundamental shift in how banks serve their customers.

    The system analyses customer data to make rapid lending decisions while maintaining strong risk assessment standards. For customers, this means no more lengthy waiting periods or complex applications. For the bank, it means more efficient resource use and better risk management.

    The bank also uses AI to personalise customer communications.

    “We’re using that to make certain campaigns more personalised, having a certain tone of voice,”

    noted Li Mandri. This particularly resonates with younger customers who expect relevant, personalised interactions from their bank.

    Operational efficiency transformation

    ING’s approach to Know Your Customer (KYC) processes shows how AI can transform resource-heavy operations.

    “KYC is a big area of cost for the bank. So we see massive value there, a lot of scale,”

    Li Mandri explained. The bank developed an AI-powered system that :

    • Automates document verification
    • Flags potential compliance issues for human review
    • Maintains consistent standards across jurisdictions
    • Reduces processing time while improving accuracy

    This implementation required careful consideration of regulations across different markets. The bank developed monitoring systems to ensure their AI models maintain high accuracy while meeting compliance standards.

    In the back office, ING uses AI to extract and process data from various documents, significantly reducing manual work. This automation lets staff focus on complex tasks requiring human judgment.

    Sustainable finance initiatives

    ING’s commitment to sustainable banking has driven innovative uses of AI in environmental assessment.

    “We have this ambition to be a sustainable bank. If you want to be a sustainable finance customer, that requires a lot of work to understand who the company is, always comparing against its peers.”

    The bank developed AI models that :

    • Analyse company sustainability metrics
    • Compare environmental performance against industry benchmarks
    • Assess transition plans for high-emission industries
    • Monitor ongoing compliance with sustainability commitments

    This system helps staff evaluate the environmental impact of potential deals quickly and accurately.

    “We are using AI there to help our frontline process customers to see how green that deal might be and then use that as a decision point,”

    Li Mandri noted.

    HSBC’s innovative approach

    Under Johri’s leadership, HSBC has developed several groundbreaking uses of AI and analytics, particularly in environmental monitoring and operational efficiency. Their work shows how banks can use advanced technology to address complex global challenges while meeting regulatory requirements.

    Environmental monitoring through advanced technology

    HSBC uses computer vision and satellite imagery analysis to measure environmental impact with new precision.

    “This is another big research area where we look at satellite images and we do what is called remote sensing, which is the study of a remote area,”

    Johri explained.

    The system provides several key capabilities :

    • Analysis of forest coverage and deforestation rates
    • Assessment of biodiversity impact in specific regions
    • Monitoring of environmental changes over time
    • Measurement of environmental risk in lending portfolios

    “We can look at distant images of forest areas and understand how much percentage deforestation is being caused in that area, and we can then measure our biodiversity impact more accurately,”

    Johri noted. This technology enables HSBC to :

    • Make informed lending decisions
    • Monitor environmental commitments of borrowers
    • Support sustainability-linked lending programmes
    • Provide accurate environmental impact reporting

    Transforming document analysis

    HSBC is tackling one of banking’s most time-consuming challenges : processing vast amounts of documentation.

    “Can we reduce the onus of human having to go and read 200 pages of sustainability reports each time to extract answers ?”

    Johri asked. Their solution combines several AI technologies to make this process more efficient while maintaining accuracy.

    The bank’s approach includes :

    • Natural language processing to understand complex documents
    • Machine learning models to extract relevant information
    • Validation systems to ensure accuracy
    • Integration with existing compliance frameworks

    “We’re exploring solutions to improve our reporting, but we need to do it in a safe, robust and transparent way.”

    This careful balance between efficiency and accuracy exemplifies HSBC’s approach to AI.

    Building future-ready analytics capabilities

    Both banks emphasise that successful analytics requires a comprehensive, long-term approach. Their experiences highlight several critical considerations for financial institutions looking to advance their analytics capabilities.

    Developing clear governance frameworks

    “Understanding your AI risk appetite is crucial because banking is a highly regulated environment,”

    Johri emphasised. Banks need to establish governance structures that :

    • Define acceptable uses for AI
    • Establish monitoring and control mechanisms
    • Ensure compliance with evolving regulations
    • Maintain transparency in AI decision-making

    Creating solutions that scale

    Li Mandri stressed the importance of building systems that grow with the organisation :

    “When you try to prototype a model, you have to take care about the data safety, ethical consideration, you have to identify a way to monitor that model. You need model standard governance.”

    Successful scaling requires :

    • Standard approaches to model development
    • Clear evaluation frameworks
    • Simple processes for model updates
    • Strong monitoring systems
    • Regular performance reviews

    Investing in people and skills

    Both leaders highlighted how important skilled people are to analytics success.

    “Having a good hiring strategy as well as creating that data literacy is really important,”

    Johri noted. Banks need to :

    • Develop comprehensive training programmes
    • Create clear career paths for analytics professionals
    • Foster collaboration between technical and business teams
    • Build internal expertise in emerging technologies

    Planning for the future

    Looking ahead, both banks are preparing for increased regulation and growing demands for transparency. Key focus areas include :

    • Adapting to new privacy regulations
    • Making AI decisions more explainable
    • Improving data quality and governance
    • Strengthening cybersecurity measures

    Practical steps for financial institutions

    The experiences shared by HSBC and ING provide valuable insights for financial institutions at any stage of their analytics journey. Their successes and challenges outline a clear path forward.

    Key steps for success

    Financial institutions looking to enhance their analytics capabilities should :

    1. Start with strong foundations
      • Invest in clear data governance frameworks
      • Set data quality standards
      • Build thorough documentation processes
      • Create transparent data tracking
    2. Think strategically about AI implementation
      • Focus on transformative rather than small changes
      • Consider the full costs of AI projects
      • Build solutions that can grow
      • Balance innovation with risk management
    3. Invest in people and processes
      • Develop internal analytics expertise
      • Create clear paths for career growth
      • Foster collaboration between technical and business teams
      • Build a culture of data literacy
    4. Plan for scale
      • Establish monitoring systems
      • Create governance frameworks
      • Develop standard approaches to model development
      • Stay flexible for future regulatory changes

    Learn more

    Want to hear more insights from these industry leaders ? Watch the complete webinar recording on demand. You’ll learn :

    • Detailed technical insights from both banks
    • Extended Q&A with the speakers
    • Additional case studies and examples
    • Practical implementation advice
     
     

    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

    Watch the on-demand webinar : Advancing analytics maturity.

    By providing your email and clicking “submit”, you agree to receive direct marketing materials relating to Matomo products and services, surveys, information about events, publications and promotions. You can unsubscribe at any time by clicking the opt-out link provided in each communication. We will process your personal information in accordance with our Privacy Policy.

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    &lt;/script&gt;
  • Converting konvajs state to Advanced SubStation Alpha (ASS) format for subtitles

    7 juillet 2024, par Ahsan

    I am building a subtitle editor using react.js. I plan to use konvajs to build the styling feature of editor like rotate subtitles, change size etc. How do I convert resultant konva state to ass format so that ffmpeg can render these subtitles on video.

    &#xA;

    If there is a better solution than using konvajs then please guide me.

    &#xA;

  • CRO Program : Best Practices and KPIs to Track [2024]

    8 mai 2024, par Erin

    Driving traffic to your website is only one part of the equation ; the second part is getting those visitors to convert by completing a desired action — creating an account, signing up for a newsletter or completing a purchase. 

    But if you fail to optimise your website for conversions, you’ll have a hard time guiding visitors further down the funnel and turning them into customers.

    That’s where a CRO program (or conversion rate optimisation) can help. 

    This article will cover conversion rate optimisation best practices and outline key metrics and KPIs to start tracking to see an improvement in your conversion rates.

    What is a CRO program ? 

    In the simplest terms, a CRO program — also called a CRO plan — is a digital marketing strategy. It focuses on implementing different tactics that can lead to an increase in conversion rate and maximising revenue. 

    CRO concept with marketing icons

    One thing to remember is that the definition of “conversion” varies from business to business. The most obvious type of conversion would be a financial transaction or a completed form — but it comes down to what you consider a valuable action. 

    Many different actions can count as conversions, depending on your marketing goals. 

    Besides making a purchase, other common examples of key conversion moments include creating a new account, signing up for a free trial, booking a demo and subscribing to an email newsletter. 

    Another thing worth noting is that while the average conversion rate on e-commerce websites is 3.76%, it might fluctuate across different industries and device types. Case in point — desktop devices have higher conversion rates than mobile devices, clocking in at 4.79% and 3.32%, respectively. 

    So, in addition to defining your key conversion moments, you should also go over conversion insights relevant to your specific industry. 

    The importance of conversion rate optimisation 

    You’d be right to assume that the ultimate goal of a conversion rate optimisation process is to drive revenue through higher conversion rates — but don’t focus solely on the numbers. The core principle of a CRO program is improving the customer experience. Once you’ve achieved that, the increase in conversion rate will follow. 

    Illustration of conversion funnel optimisation

    According to a recent report, global conversion rate optimisation (CRO) software sales are expected to reach $3.7 billion by 2032 — up from $1.1 billion in 2021. 

    This growth indicates the increasing interest in strategies and tools that can help optimise the conversion funnel. Businesses are looking for ways to keep potential customers engaged and improve the average conversion rate — without necessarily increasing their spending. 

    Here are a few reasons why a CRO program deserves a spot in your broader digital marketing strategies : 

    • It can lower your cost per acquisition (CPA) : A CRO program is about optimising your conversion funnel by leveraging existing assets and website traffic rather than increasing your spending — which lowers the costs of acquiring new customers and, in turn, drives ROI. 
    • It can maximise customer lifetime value (CLV) : If you can turn one-time buyers into repeat customers, you’ll be one step closer to building a loyal user base and increasing your CLV. 
    • It can lead to increased sales and boost your revenue : Higher conversion rates typically mean higher revenue ; that’s arguably the most obvious benefit of implementing a CRO program
    • It improves the overall user experience : The goal is to make your site more accessible, easier to navigate and more engaging. Delivering the experience people want — and expect — when navigating your website is one of the core principles of a CRO program.
    • It helps you to get to know your customers better : You can’t meet your customers’ needs without taking the time to know them, create user personas and understand their preferences, pain points and conversion barriers they may be facing. 

    Conversion optimisation gives you a competitive edge in revenue and brand reputation. 

    5 CRO best practices 

    Illustration of different CRO elements

    Here are five conversion rate optimisation strategies and best practices that can make a real difference in the customer experience — and drive potential conversions. 

    Create a CRO roadmap in advance 

    First and foremost, you’ll need a well-defined “game plan” that aligns with and reflects your conversion goals. 

    A CRO roadmap is a detailed manual that outlines how to implement different elements of your CRO-related efforts. Marketing teams can refer to this step-by-step framework for test planning, prioritisation and resource allocation while optimising their marketing strategy. 

    While conversion rate optimisation can be a complex process — especially when you don’t know what to tackle first — we’ve found that there are three things you need to consider when setting the foundations of a successful CRO program : 

    • The “why” behind your website traffic : You’re likely using different online marketing strategies — from SEO to pay-per-click (PPC). So, it’s best to start by gathering channel-specific conversion insights through marketing attribution. Then identify which of these efforts have the biggest impact on your target audience. 
    • The so-called “conversion blockers” that tell you where and why visitors tend to leave without completing a desired action : Funnel analysis might reveal problematic pages — drop-off points where you tend to lose most of your visitors. 
    • Your “hooks” : User feedback can be of great help here ; you can learn a lot by simply asking your customers to fill out a quick online survey and tell you what motivated them to take action.

    Before working on that “game plan,” perform a pre-test analysis. 

    Matomo combines web analytics and user behaviour analytics with features like Heatmaps, Session Recordings, Form Analytics, Funnel Analytics, A/B Testing and User Flow. It can give you those initial benchmarks for measuring progress and a potential increase in conversion rate. 

    Validate your ideas with A/B and multivariate testing 

    Conversion rate optimisation is an iterative process. So, it shouldn’t come as a surprise that A/B testing variants of page layouts, CTAs, headlines, copy and other elements is a big part of it.

    Multivariate and A/B testing allows you to test a wide range of elements across your site and identify what works — and, more importantly, what doesn’t — in terms of driving conversions.

    On that note, Matomo’s A/B Testing feature can support your conversion rate optimisation process by identifying variants that perform better based on statistical significance. 

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

    No credit card required

    Get to know your website visitors 

    Driving conversions comes down to understanding potential customer’s pain points and needs — and delivering an experience that positions you as the solution and gets them to take action. 

    Here are a few things that can help you understand your website visitors better : 

    • Collecting customer feedback through surveys and using it to identify main areas for improvement 
    • Creating detailed customer personas and optimising your website design and messaging based on your target audience’s pain points, needs and wants 
    • Using heatmaps — colour-coded data visualisation tools that illustrate user interactions — and scroll maps to get a comprehensive overview of online sessions and identify the most engaging elements and those that stand out as potential conversion barriers 

    Matomo’s Heatmaps can help you identify the most-clicked elements on the page and show how far users scroll — providing powerful user insights you can use to optimise these pages.

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    Remove friction points 

    As we previously discussed, identifying friction points and barriers to conversion — issues that prevent visitors from converting — is one of the crucial aspects of developing a CRO plan. 

    Many different “conversion blockers” are worth looking into, including : 

    • Lengthy or otherwise complex checkout processes 
    • No guest checkout feature 
    • Device type, browser and OS compatibility issues 
    • Slow site speed and other technical issues
    • Lack of free shipping and limited payment methods 
    • Absence of social proof (customer reviews and testimonials) and trust badges

    Once you’ve identified what’s slowing down or completely discouraging users from reaching key conversion moments, take the time to address it. 

    Switch to text-based CTAs 

    Calls-to-action (CTAs) play a crucial role in guiding customers from interest to action. However, sometimes they fail to do their job — encouraging website visitors to proceed to the next step — effectively. 

    The most obvious reason is that your CTAs aren’t visually engaging or clear enough. In that case, you can try using action-oriented language and stronger visual elements and aligning the CTA copy with the context of the page. 

    But more often than not, the issue comes down to a phenomenon called “banner blindness” — the tendency of website visitors to ignore (either intentionally or unintentionally) elements on a page that resemble banner ads. 

    And if that’s what’s preventing visitors from converting, consider switching to text-based CTAs. 

    Conversion rate optimisation metrics and KPIs 

    At this point, you should know the outcomes you hope to achieve. Your next step should be to figure out how you’re going to measure and analyse results — and identify the changes that made the most impact on your conversion funnel. 

    After all, your CRO action plan should be based on data — assumptions and “gut feelings” will rarely lead to a notable increase in conversion rates

    Illustration of the conversion funnel

    That brings us to key performance indicators (KPIs) : 

    Tracking CRO metrics and website KPIs can help you understand the customer’s journey and path to purchase, identify opportunities for improving the user experience (UX) and determine how to optimise conversions.

    That said, you shouldn’t try to track every metric in the book ; think about your ultimate goal and identify the metrics and KPIs most relevant to your business. 

    We’ll assume that you’re already tracking macro- and micro-conversions. However, we’ve outlined a few additional key conversion rate optimisation metrics you should keep an eye on to make sure that your CRO program is performing as intended : 

    • Cost-per-conversion : By measuring how much you spend on each successful conversion — again, completed forms, sign-ups and sales all count as key conversion moments — you’ll be in a better position to assess the cost-effectiveness of your online marketing strategies.
    • Starter rate : This metric tells you the number of people who start filling out the form, after seeing it. This metric is particularly important for companies that rely on getting leads from forms. 
    • Average order value (AOV) : This metric is important for e-commerce sites to understand the value of their transactions. AOV calculates the average monetary value of each order.

    That’s not all ; you can also use a web analytics tool like Matomo to gain granular insights into visitors : 

    • Unique, new and returning visitors : Tracking the number of new and returning visitors your website gets within a given timeframe will help you understand your user base and determine if your content resonates with them. While you want a constant stream of new traffic, don’t overlook the importance of returning visitors ; they’re the foundation of a loyal customer base.
    • User flows : By analysing the user flows, you’ll have a visual representation of how visitors use your website, which will help you understand their journey and the specific path they take. 
    • Bounce rate : This metric tells you how many users viewed a single page on your site and ended up leaving before they took any kind of action. As such, it’s a clear indicator of how good your content, CTAs and website layout are at keeping users engaged.
    • Exit rate : Another key metric to track is the exit rate — the percentage of users who drop off at a specific page. High-exit pages usually lack important information and CTAs, cause frustration or otherwise fail to meet users’ expectations. Keep in mind that there’s a difference between bounce rate and exit rate — the latter involves users who viewed at least one other page. 

    There are many other user engagement metrics you should keep an eye on in addition to the ones mentioned above — including time on-page, actions per visit, scroll depth and traffic source. You’ll find all this information — and more — in Matomo’s Page Analytics Report

    Conclusion 

    Implementing a CRO program can be a time-consuming and iterative process. However, it’s vital for guiding your marketing efforts and making data-driven decisions that’ll ultimately help you drive growth and reach your business goals. 

    It’s best to start by identifying where your website visitors come from and what contributes to — or prevents them from — taking further action. But that’s easier said than done. You’ll need to leverage web analytics tools like Matomo to gather powerful user insights and monitor your website’s performance. 

    As an all-in-one, privacy-friendly web analytics solution, Matomo combines traditional web analytics and advanced behavioural analytics — delivering a consistent experience based on 100% accurate, unsampled data.

    Join the 1 million websites that have chosen Matomo as their web analytics platform. Start your 21-day free trial today — and see how Matomo can help you improve your website’s conversion rates. No credit card required.