In 2023, a leading global online platform partnered with a financial institution to analyse anonymised transaction data, refine its pricing algorithms, and identify new market opportunities. This collaboration led to a notable increase in its booking revenues, establishing the financial institution’s role as a key provider of strategic insights, a testament to the radical transformation underway within the banking industry.
The transformation, shaped by technological advancements, promises to redefine how financial services are delivered, consumed, and monetised. Institutions across the globe, ranging from established multinational giants to emerging digital challengers, have all ramped up their investments in sophisticated data analytics and artificial intelligence (AI) in recent years. These innovations are proving to be more than mere hype, already delivering measurable benefits in areas such as fraud detection, risk assessment, customer experience, and revenue generation.
The Power of Data for Monetisation and Customer Acquisition
For years, banks collected vast amounts of data through routine basic processes of account openings, transaction monitoring, and credit assessments. But today, these treasure troves of information are being used as a strategic tool for monetisation. Refined data analysis now helps banks not only offer ultra-personalised financial products, ranging from customized credit card offers to predictive lending rates, but also to create innovative ancillary revenue streams. AI and machine learning increasingly drive this ability to deliver hyper-personalised experiences, reflecting the growing consumer preference for tailored financial solutions.
For example, several leading Southeast Asian banks have substantially increased cross-selling by offering credit cards tailored to individual spending patterns. Many global financial institutions have deployed AI-powered tools to redesign innovative mobile apps to provide real-time financial advice and boost engagement and customer loyalty.
At the same time, several banks are utilising blockchain for trade finance, while others have deployed predictive models to assess loan default risks better, resulting in a notable reduction in defaults. This shift towards data monetisation is helping banks diversify their income sources, moving beyond traditional channels like interest and fees and tapping into new avenues for growth and profitability.
Retaining Customers Through Personalisation
Retaining customers has become a massive challenge, with increased competition from fintech players, digital banks, and even tech giants eyeing financial services. To combat this, banks must effectively harness transactional and behavioural data, moving beyond generic offerings to deliver truly hyper-personalised experiences. Personalised dashboards that highlight spending patterns, targeted insights based on individual financial goals, and curated education materials tailored to specific user needs are a few examples of this approach.
Banks can proactively offer solutions by constantly analysing user behaviour, spending patterns, reaction times, etc., on mobile banking apps. For instance, they recommend a more suitable credit product or alert customers to potential savings based on real-time spending data. This approach nurtures deeper customer loyalty, reduces churn, and enhances the overall perceived value of banking relationships.
Emerging Technologies for Real-Time Decisions
Meanwhile, AI-driven chatbots, powered by large language models, are increasingly handling complex customer queries (Agentic RAG), freeing up human agents for higher-value tasks and drastically improving service availability. In the near future, banks will integrate cutting-edge technologies to redefine service delivery. Beyond these chatbots, generative AI is also in play, revolutionising pricing strategies by analysing thousands of other variables to determine optimal rates for individual customers. Major financial institutions are also exploring quantum computing to enhance financial modeling. Then there are smart contracts that automate processes of loan approvals, with blockchain enabling faster, almost instantaneous USD transfers, showcasing its potential to streamline cross-border payments. 5G and IoT also play an important role in real-time data processing for fraud detection and IoT-driven payment solutions, such as those of connected cars authorising transactions on their own.
Challenges in Data Governance and Security
As data takes centre stage in banking, regulators are tightening frameworks to ensure privacy and security. Laws like GDPR, PDPA, and new regulations push banks to adopt a “compliance-by-design” approach. For example, Thailand’s PDPA mandates stringent data governance for monetisation initiatives. Meanwhile, the EU’s PSD3 is working to standardise open banking APIs, promoting competition while safeguarding consumer rights. To keep up, the banks are investing heavily in encryption, tokenisation, and advanced monitoring systems to protect sensitive information. Growing expectations for real-time services further compound their challenges, and as data flows more rapidly across multiple channels, both internal and external, banks must continuously validate who has access to what data. Data governance is crucial to maintaining compliance, quality control, and ethical usage. Failure in these areas risks serious reputational damage and hefty financial penalties.
Also Read :- Vibhor Jain Appointed as Acting CEO at ONDC Amid Leadership Transition
Is the Future Data First Banking?
Ultimately, the future of banking hinges on the strategic and ethical use of data. Innovations in AI, real-time analytics, and seamless digital services are already delivering tangible value to both banks and their customers. The next few years will see these trends accelerate, creating hyper-personalised experiences, enhancing operational efficiency, and opening new avenues of revenue. These capabilities will foster an environment of proactive service, where banks can anticipate customer needs and offer tailored solutions in near real-time.
However, considering the evolving regulatory landscape and ever-present security risks, these opportunities must be pursued with caution. For institutions that strike the right balance, the potential is transformative: data will not just drive profit but reshape banking into a sector synonymous with innovation, trust, and unwavering customer focus.
Views expressed by: Anand Chandra – SVP for Banking & Financial Services at Bounteous x Accolite.
Elets The Banking and Finance Post Magazine has carved out a niche for itself in the crowded market with exclusive & unique content. Get in-depth insights on trend-setting innovations & transformation in the BFSI sector. Best offers for Print + Digital issues! Subscribe here➔ www.eletsonline.com/subscription/
