By Mr Anurag Sanghai, Principal Solutions Architect, Intellicus Technologies
Perhaps in no other industry technology is leading a complete transformation as in modern banking. Nothing short of a revolution, the fusion of technology and financial services has catalyzed a change that breakdowns traditional paradigms. The implementation of business intelligence (BI) framework serves as the lynchpin of this transformation.
With BI, banks are harnessing data-driven decision-making and automated processes to redefine operational practices that lead to improved efficiency and profitability. The future of banking as agile, customer-focused entities is driven by the synergistic combination of BI and automation.
Banking practices have historically operated within disparate applications, resulting in fragmented data spread across various systems that manage customer profiles, KYC, transactions, treasury, loans and advances, assets or external data from interbank transfers, CIBIL scores etc. Manual effort was required to consolidate the data silos to be able to perform any analysis or reporting and to derive any actionable insights. A BI ecosystem automates this data integration process and creates a single view of data that is accurate, reliable and trusted. A unified BI system eliminates the erstwhile inefficiencies in data processing and dependencies on specialized business analysts.
Departments like corporate banking, private and retail, audit, security and risk management, marketing, and customer service operate independently. There is friction in sharing of data between them, often leading to fragmented strategies. A commonly accessed BI ecosystem within banking operations changes this, with significant improvement in collaboration across various teams.
BI helps in aligning their efforts – for example, risk management can use customer behavior data from marketing to refine credit risk models. Similarly, customer service can anticipate client service issues by leveraging transaction history and past interaction patterns. A collaborative approach enhances decision-making and also creates a holistic view of customer interactions. This results in a more customer-centric banking experience.
A paper published in the FinTech journal in 2023 carried a study of 27 branches of a commercial bank in a developing country. The findings revealed that operational efficiency gains in using business intelligence (BI) positively affects a bank’s profitability. Superior margins over rivals result in better customer offerings that enhance competitiveness. The study firmly established BI as a strategic resource that can provide a foundation to develop bank capabilities that can lead to superior performance over time. The study is testimonial to the fact that the link between BI and enhanced capabilities in a bank are not arbitrary. BI positively influences banks core competencies, ensuring long term growth and resilience.
Customer expectations have evolved today to demand uninterrupted banking services 24×7, precisely when they require them. Moreover, they expect personalized insights and offers that cater to their unique needs and preferences. A robust BI system automates this with multi-dimensional analysis of historical data, individual customer behaviors and choices, assessment of risk profile and adherence to banking regulations. Customers are presented with preapproved offers and customized services, tailored to their individual profiles. This improves customer engagement and loyalty with a simultaneous optimization of operational efficiency.
Banks use BI for informed and quicker decisions on loan applications. Evaluation of borrower’s creditworthiness was a time-consuming and manual process that was based on limited information. BI tools used advanced algorithms to perform multi-variate analysis of historical data, applicant profile, demographic patterns and external data sources to provide real-time decision support. This not only reduces the loan processing time, but also makes it more accurate, reliable and consistent. It is a win-win for both customers–who benefit from a seamless and agile experience–and banks, with reduced risks and increased efficiency.
Meeting compliance requirements and reporting to Reserve Bank of India and other regulatory agencies demands the periodic aggregation of data spanning various functions within a bank. BI helps in centralizing, automating and speeding up this otherwise complex process, which is also highly error prone. With BI tools monitoring and identifying potential compliance issues, banks can promptly address and rectify any anomalies before they escalate. This minimizes the risk of penalties and reputation damage, which can have far-reaching consequences in an industry that is built on trust and credibility.
BI and automation significantly improves the process of generating and distributing crucial financial reports across various banking departments and stakeholders. This inclusive approach makes data-driven insights accessible to all, perpetuating a culture of informed decision-making and collaboration. This democratization effectively harnesses the collective intelligence of the teams to drive strategic growth and competitiveness.
BI has also emerged as a dynamic tool that empowers marketing within banks. Customer journey mapping provides insights into their preferences and behavior using data points sourced from interactions, transactions and browsing behavior. This enables crafting of personalized campaigns that resonate with them and enhance engagement and loyalty.
Further, BI tools are highly effective in market segmentation and targeting by finding common patterns across various demographics, enabling a deeper connection with a diverse customer base. Banks can optimize their marketing resources more effectively by identifying segments that yield the highest return on investment, or which require more attention. This empowers precision marketing efforts, leading to higher success rates in customer acquisition and retention.
Conclusion:
The surging customer expectations of digital banking services is reshaping financial institutions. Banks must not just adapt but enthusiastically embrace this digital transformation to remain relevant. They must strive to retain customer loyalty against competition from agile and customer-centric competitors who offer novel digital solutions.
In this evolving landscape BI has emerged not just as a tool for driving operational excellence but is pivotal in leading innovation and customer-centricity. By leveraging data-driven insights, BI becomes a catalyst that shapes banks overall competitiveness and profitability.
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ABOUT THE AUTHOR
Anurag is a multifaceted, experienced IT professional and thought leader with over 14 years of expertise in consulting, architecting, and implementing state-of-the-art data analytics and business intelligence solutions for clients worldwide. He has experience in a variety of roles, including Full Stack Engineer, Data Architect, Engineering Manager, and Solutions Architect. He has extensive experience in the development of enterprise data warehouses, analytics, trending and forecasting systems, and information visualisation initiatives.
Anurag is a pioneer in innovation and has received a US patent for his work. He graduated with honours with a bachelor of engineering from the University of Technology of Madhya Pradesh.
