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• Fintech Content Marketing : 10 Best Practices & Growth Strategies

  24 juillet 2024, par Erin

  Content marketing is an effective strategy for growth and building trust. This is especially true in the fintech industry, where competition is intense and trust is crucial. Content marketing helps you strengthen customer relationships, engage your audience, and differentiate yourself from competitors.

  To get the most out of your fintech content marketing, you need to develop the right strategy.

  In this guide, we’ll cover everything you need to know about content marketing for fintech companies so you can expand your reach and grow your business.

  What is fintech content marketing ?

  Fintech content marketing is creating content around financial topics on the internet to attract, engage, and convert audiences.

  Fintech companies can use a content strategy to drive leads by creating educational content.

  

  While financial content is important, it’s easy for it to feel boring, unrelatable, or confusing. But, when done right, fintech companies can educate their audiences with great content marketing that helps their audience understand financial topics in-depth.

  Fintech companies can create written, audio, or video content to inform their audiences about financial topics they’re interested in.

  From there, each piece of content can then be distributed to different mediums :

  • Blogs
  • Website
  • Facebook
  • YouTube
  • Instagram
  • Other websites
  • Apps
  • And more

  Once content is distributed, fintech companies can then analyse how effective the content is by tracking web analytics data like search engine traffic, social media engagement, and new customers.

  7 reasons fintech companies need content marketing

  Before we dive into fintech content marketing best practices, let’s recap why fintech companies need to lean into content to grow their business.

  Here are seven reasons your financial company needs to deploy a robust content strategy :

  

  1. Reach new audiences

  If you want to grow your fintech company, you need to find new customers. Creating content is a proven path to marketing yourself online and attracting a larger audience.

  By using search engine optimisation (SEO), social media marketing, and YouTube, you can expand your audience and grow your customer base.

  With content marketing, you can find new audiences without needing a massive budget, making scaling easier.

  2. Engage current audience

  While content can be a powerful method to reach new customers, it isn’t the only thing it’s good for.

  If you want to grow your business, another way to leverage your content is to keep your current audience engaged.

  You can create financial content to educate, inform, and add value to your current audience who already knows you. Repurposing content between the different platforms your audience is on keeps them engaged with you and your brand.

  It’s a simple way to capture and keep the attention of your audience, build trust, and convert more prospects into customers.

  3. Build relationships with customers

  You should leverage content marketing in various spaces, such as social media, your website, a blog, or even YouTube. Creating content on different channels allows you to build relationships with your customers on autopilot.

  The general rule in marketing is that the more touch points you have with your customers, the more you’ll sell. Creating more content means you always have new opportunities to increase those touchpoints, build deeper relationships, and sell more.

  4. Grow authority in a space

  If you want people to trust you and your financial tech, you need to be seen as an authority. How can someone trust that your app or web platform will help them with their finances if they don’t trust you’re a financial expert ?

  You should use informative content to become a thought leader in your space. You can post content on social media or your own platforms.

  You can also spread your authority by leveraging other brands’ or influencers’ audiences through guest blog posting and guest podcasting.

  5. Drive new leads

  Content marketing isn’t just a fun hobby for businesses. It’s one of the smartest ways to drive new leads.

  You should be crafting content for your top-of-funnel marketing strategy to attract potential customers.

  Creating content consistently is a great way to bring in new audience members into your funnel.

  Once you grow your top-of-funnel audience, you can convert them into leads by getting them to join your email list or trial your financial software.

  One tip to get more out of your content strategy is creating evergreen content to continually drive leads. For example, create “set-it-and-forget it” blog posts or YouTube videos that will continue working for you daily to attract new audience members searching for helpful financial information. Then, provide a call to action on that content to join your email list (by leveraging a lead magnet).

  6. Convert prospects to customers

  When you have a continual flow of new top-of-funnel prospects, you always have a fresh cycle of prospects you can convert into customers.

  Content is primarily used to attract new audience members and engage your current audience at the top of your funnel. But it can also be used to convert your audience into customers.

  Try mixing up your content types to drive conversions :

  • Educational
  • Entertaining
  • Promotional

  Don’t just show off educational content.

  You should also mix in “authority” content by displaying case studies of user success stories and calling to action to sign up for a free trial or request a demo.

  7. Lower Customer Acquisition Cost (CAC)

  On the business side, if you want a marketing strategy that will keep expenses low long term, you’ll want to invest more in content.

  Content marketing has a great return on investment (ROI) for your time and effort.

  Why ?

  Because the customer acquisition costs (CAC) are so low.

  You can create content that can bring in leads for months if not years.

  If you only use Google or Facebook ads to drive new leads, you always have to “pay-to-play.” When you turn the advertising tap off, your leads dry up.

  But, with blogs and videos, you can create content that can bring in organic customers on repeat. It’s like a snowball effect that keeps going long after you’ve completed the initial work.

  10 fintech content marketing best practices

  Here are ten best practices to establish a strong content marketing strategy as a fintech company :

  

  1. Set SMART goals

  A good content strategy starts with goal-setting. You’ll never get there if you don’t know where you’re going.

  To make sure your fintech content marketing strategy is a success, you need to set SMART goals :

  • Specific
  • Measurable
  • Achievable
  • Relevant
  • Time-bound

  For example, you might set a goal to reach 20,000 blog visits in one year and convert blog visits at a rate of 3%.

  Setting clear content goals will streamline operations, so you stay consistent and get the most out of your efforts.

  3. Be transparent

  Transparency is crucial for fintech companies, as they handle sensitive financial data and, in many cases, monetary transactions.

  It’s essential for you to be open and clear about your products, services, and data practices. By being honest about privacy and security measures, fintechs can build and maintain trust with their customers.

  This transparency not only helps in establishing credibility but also ensures customers feel confident about how their financial information is managed and protected.

  

  4. Take an education-first approach

  Content isn’t just about “hooking” or entertaining your audience. That’s just one aspect of a content strategy.

  The best approach to building authority and converting leads from your content is to take an education-first approach.

  Remember above, when we touched on understanding your ICP ? You need to know your ICP’s interests and pain points inside and out and then map your product’s strengths to those that are relevant.

  Always start with your ICP, then build the content strategy around them based on your product.

  Find connections and identify how your product can address the ICP’s interests and pain points.

  For example, let’s say your ICPs are Gen Z consumers. They’re interested in independence and saving for future goals. Their pain points might include lack of investment knowledge and managing student debts and other loans.

  Let’s say your product is a personal finance app. Some of your benefits might be budget tracking and beginner-friendly investment options. You could create a content strategy around budgeting in your 20s and investing for beginners.

  Content strategies will vary widely based on your ICP. For instance, content for a fintech company targeting those approaching retirement will need a different focus compared to that aimed at younger consumers.

  Remember : practical, step-by-step, value-driven content performs best regarding conversions.

  5. Leverage the right tools

  If you’re going to succeed with content, you need to lean on the right tools.

  Here are a few types of tools you should consider (and recommendations) :

  • Project management (i.e., Asana)
  • Content management system (i.e., WordPress)
  • Content scheduling (i.e., Hootsuite)
  • Design (i.e., Canva)
  • SEO (i.e., Ahrefs)
  • Web analytics (i.e., Matomo)

  Try Matomo for Free

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  6. Promote your content on different platforms

  You’ll want to promote your fintech content marketing strategy on different channels and platforms to get the most out of your fintech content marketing strategy.

  Start with one core platform before you pick a few platforms to promote your content. You should leverage at least one social media platform.

  Then, create a blog and an email newsletter to ensure you create multiple touchpoints.

  Here are some tips on how to pick the right platform :

  • Consider age range (i.e. TikTok for a younger audience, Facebook for an older audience)
  • Consider your preferred content type (YouTube for long-form video, X for short-form written content
  • Consider your competition (i.e. go where competitive fintech companies already are)

  7. Track results 

  How do you know if you’re on pace to reach the SMART goals you set earlier ?

  By tracking your results. 

  You should dive into your data regularly to ensure your content is working. Make sure to track social media, email marketing, and web results.

  Keep a close eye on your website KPIs and track your conversions to ensure a return on investment (ROI). For more detailed guidance on monitoring your website’s performance, check out our blog on how to check website traffic as accurately as possible.

  Remember, a data-driven approach is the best way to stay on track with your content goals.

  8. Establish a content leader

  Your content marketing needs a leader. You should establish someone on your marketing team to oversee your content plan. 

  They should ensure they collaborate well with different teams, understand social media and SEO, and know how to manage projects.

  Most of all, don’t forget that they’re in charge of tracking your data and reporting to higher-ups, so they should be comfortable with web analytics and know how to track performance well.

  9. Optimise for SEO

  It’s not enough to create a weekly blog post. You could craft the most valuable content on your website, but nobody will find it online if it isn’t optimised for SEO.

  Your content leader should analyse SEO data using a tool like Ahrefs or SEMrush to analyse different keywords to target in your content. 

  A web analytics tool like Matomo can then be used to track results. Matomo offers traditional web analytics, including pageviews, bounce rate, and sources of traffic, alongside features like heatmaps, session recordings, and A/B testing.

  These advanced features provide deeper insights into how users interact with your site and content, helping you pinpoint areas for improvement. Improving the user experience based on these insights can then positively impact your Google rankings.

  Try Matomo for Free

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

  Start for free

  No credit card required

  10. Stay compliant

  Fintech is a highly regulated industry. Keeping this in mind, you need to ensure you take the necessary steps to ensure you remain compliant with all applicable laws and regulations.

  Non-compliance can result in severe penalties.

  Given these high standards, it’s crucial to ensure that user data remains private and secure. Matomo helps with this by providing a compliant web analytics solution that respects user privacy. With Matomo, you can confidently manage compliance and build trust with your customers while also reliably tracking the performance of your content marketing.

  

  Drive your content marketing strategy with Matomo

  Leaning into content marketing can be one of the best ways your fintech company can attract, engage, convert, and retain your audience.

  By creating high-quality content for your audience on social media, YouTube, and your website, you can establish your brand as an authority to grow your business for years to come.

  But remember, you need to make sure you’re only using privacy-friendly, compliant tools to protect your audience’s data.

  Thankfully, Matomo has you covered.

  As a privacy-friendly web analytics tool, Matomo ensures that your website data is tracked and stored in compliance with privacy laws.

  Trusted by over 1 million websites, it offers reliable data without sampling, guaranteeing accuracy. Matomo is designed to be fully compliant with privacy regulations such as GDPR and CCPA, while also providing advanced features like heatmaps, session recordings, and A/B testing to help you track and enhance your website’s performance.

  Request a demo to see how Matomo can benefit your fintech business now.

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• Banking Data Strategies – A Primer to Zero-party, First-party, Second-party and Third-party data

  25 octobre 2024, par Daniel Crough — Banking and Financial Services, Privacy

  Banks hold some of our most sensitive information. Every transaction, loan application, and account balance tells a story about their customers’ lives. Under GDPR and banking regulations, protecting this information isn’t optional – it’s essential.

  Yet banks also need to understand how customers use their services to serve them better. The solution lies in understanding different types of banking data and how to handle each responsibly. From direct customer interactions to market research, each data source serves a specific purpose and requires its own privacy controls.

  Before diving into how banks can use each type of data effectively, let’s look into the key differences between them :

  Data Type	What It Is	Banking Example	Legal Considerations
  First-party	Data from direct customer interactions with your services	Transaction records, service usage patterns	Different legal bases apply (contract, legal obligation, legitimate interests)
  Zero-party	Information customers actively provide	Stated preferences, financial goals	Requires specific legal basis despite being voluntary ; may involve profiling
  Second-party	Data shared through formal partnerships	Insurance history from partners	Must comply with PSD2 and specific data sharing regulations
  Third-party	Data from external providers	Market analysis, demographic data	Requires due diligence on sources and specific transparency measures

  What is first-party data ?

  

  First-party data reveals how customers actually use your banking services. When someone logs into online banking, withdraws money from an ATM, or speaks with customer service, they create valuable information about real banking habits.

  This direct interaction data proves more reliable than assumptions or market research because it shows genuine customer behaviour. Banks need specific legal grounds to process this information. Basic banking services fall under contractual necessity, while fraud detection is required by law. Marketing activities need explicit customer consent. The key is being transparent with customers about what information you process and why.

  Start by collecting only what you need for each specific purpose. Store information securely and give customers clear control through privacy settings. This approach builds trust while helping meet privacy requirements under the GDPR’s data minimisation principle.

  What is zero-party data ?

  

  Zero-party data emerges when customers actively share information about their financial goals and preferences. Unlike first-party data, which comes from observing customer behaviour, zero-party data comes through direct communication. Customers might share their retirement plans, communication preferences, or feedback about services.

  Interactive tools create natural opportunities for this exchange. A retirement calculator helps customers plan their future while revealing their financial goals. Budget planners offer immediate value through personalised advice. When customers see clear benefits, they’re more likely to share their preferences.

  However, voluntary sharing doesn’t mean unrestricted use. The ICO’s guidance on purpose limitation applies even to freely shared information. Tell customers exactly how you’ll use their data, document specific reasons for collecting each piece of information, and make it simple to update or remove personal data.

  Regular reviews help ensure you still need the information customers have shared. This aligns with both GDPR requirements and customer expectations about data management. By treating voluntary information with the same care as other customer data, banks build lasting trust.

  What is second-party data ?

  

  Second-party data comes from formal partnerships between banks and trusted companies. For example, a bank might work with an insurance provider to better understand shared customers’ financial needs.

  These partnerships need careful planning to protect customer privacy. The ICO’s Data Sharing Code provides clear guidelines : both organisations must agree on what data they’ll share, how they’ll protect it, and how long they’ll keep it before any sharing begins.

  Transparency builds trust in these arrangements. Tell customers about planned data sharing before it happens. Explain what information you’ll share and how it helps provide better services.

  Regular audits help ensure both partners maintain high privacy standards. Review shared data regularly to confirm it’s still necessary and properly protected. Be ready to adjust or end partnerships if privacy standards slip. Remember that your responsibility to protect customer data extends to information shared with partners.

  Successful partnerships balance improved service with diligent privacy protection. When done right, they help banks understand customer needs better while maintaining the trust that makes banking relationships work.

  What is third-party data ?

  

  Third-party data comes from external sources outside your bank and its partners. Market research firms, data analytics companies, and economic research organizations gather and sell this information to help banks understand broader market trends.

  This data helps fill knowledge gaps about the wider financial landscape. For example, third-party data might reveal shifts in consumer spending patterns across different age groups or regions. It can show how customers interact with different financial services or highlight emerging banking preferences in specific demographics.

  But third-party data needs careful evaluation before use. Since your bank didn’t collect this information directly, you must verify both its quality and compliance with privacy laws. Start by checking how providers collected their data and whether they had proper consent. Look for providers who clearly document their data sources and collection methods.

  Quality varies significantly among third-party data providers. Some key questions to consider before purchasing :

  • How recent is the data ?
  • How was it collected ?
  • What privacy protections are in place ?
  • How often is it updated ?
  • Which specific market segments does it cover ?

  Consider whether third-party data will truly add value beyond your existing information. Many banks find they can gain similar insights by analysing their first-party data more effectively. If you do use third-party data, document your reasons for using it and be transparent about your data sources.

  Creating your banking data strategy

  

  A clear data strategy helps your bank collect and use information effectively while protecting customer privacy. This matters most with first-party data – the information that comes directly from your customers’ banking activities.

  Start by understanding what data you already have. Many banks collect valuable information through everyday transactions, website visits, and customer service interactions. Review these existing data sources before adding new ones. Often, you already have the insights you need – they just need better organization.

  Map each type of data to a specific purpose. For example, transaction data might help detect fraud and improve service recommendations. Website analytics could reveal which banking features customers use most. Each data point should serve a clear business purpose while respecting customer privacy.

  Strong data quality standards support better decisions. Create processes to update customer information regularly and remove outdated records. Check data accuracy often and maintain consistent formats across your systems. These practices help ensure your insights reflect reality.

  Remember that strategy means choosing what not to do. You don’t need to collect every piece of data possible. Focus on information that helps you serve customers better while maintaining their privacy.

  Managing multiple data sources

  

  Banks work with many types of data – from direct customer interactions to market research. Each source serves a specific purpose, but combining them effectively requires careful planning and precise attention to regulations like GDPR and ePrivacy.

  First-party data forms your foundation. It shows how your customers actually use your services and what they need from their bank. This direct interaction data proves most valuable because it reflects real behaviour rather than assumptions. When customers check their balances, transfer money, or apply for loans, they show you exactly how they use banking services.

  Zero-party data adds context to these interactions. When customers share their financial goals or preferences directly, they help you understand the “why” behind their actions. This insight helps shape better services. For example, knowing a customer plans to buy a house helps you offer relevant savings tools or mortgage information at the right time.

  Second-party partnerships can fill specific knowledge gaps. Working with trusted partners might reveal how customers manage their broader financial lives. But only pursue partnerships when they offer clear value to customers. Always explain these relationships clearly and protect shared information carefully.

  Third-party data helps provide market context, but use it selectively. External market research can highlight broader trends or opportunities. However, this data often proves less reliable than information from direct customer interactions. Consider it a supplement to, not a replacement for, your own customer insights.

  Keep these principles in mind when combining data sources :

  • Prioritize direct customer interactions
  • Focus on information that improves services
  • Maintain consistent privacy standards across sources
  • Document where each insight comes from
  • Review regularly whether each source adds value
  • Work with privacy and data experts to ensure customer information is handled properly

  Enhance your web analytics strategy with Matomo

  

  The financial sector finds powerful and compliant web analytics increasingly valuable as it navigates data management and privacy regulations. Matomo provides a configurable privacy-centric solution that meets the requirements of banks and financial institutions.

  Matomo empowers your organisation to :

  • Collect accurate, GDPR-compliant web data
  • Integrate web analytics with your existing tools and platforms
  • Maintain full control over your analytics data
  • Gain insights without compromising user privacy

  Matomo is trusted by some of the world’s biggest banks and financial institutions. Try Matomo for free for 30 days to see how privacy-focused analytics can get you the insights you need while maintaining compliance and user trust.

• 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.

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  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

   

   

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  Watch the on-demand webinar : Advancing analytics maturity.

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