Page 46 - Banking Finance October 2025
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ARTICLE





         Banking on Data: A


         Comprehensive



         Guide to Data


         Analytics

                                                                                          Sheik Nizamudeen D
                                                                                          Chief Manager (IT) Faculty
                                                                                        ULA -Digital Transformation
                                                                                                   Powai, Mumba




           Data analytics is the systematic process of examining large and varied data sets to uncover hidden
           patterns, correlations, market trends, customer preferences, and other actionable insights. It involves
           the  use of  statistical techniques,  algorithms, and  technologies  to  transform  raw data  into
           meaningful information that supports decision-making and strategic planning.



         Introduction                                            Enhanced  Decision-Making:  Data-driven  insights
                                                                 enable  more  accurate  and  timely  decisions,
         "Make decisions based on data and not on opinions" This
         principle has become essential for banks navigating today's  reducing reliance on intuition and enhancing strategic
         fast-paced, competitive landscape. In an industry where  planning.
         financial success hinges on precision and insight, data analytics  Risk Management: Analytics assists in identifying and
         is no longer a luxury-it's a necessity. Let us dive into the world  mitigating potential risks such as credit defaults, fraud,
         of data analytics, explaining its significance,  lifecycle,  and market volatility, ensuring the financial stability of
         methodologies, ethical considerations, and emerging trends,  the institution.
         all tailored specifically for the banking sector.
                                                                 Customer Insights: Understanding customer behaviour
         What is Data Analytics and Why is it                    and preferences allows  for personalized services,
                                                                 improving customer satisfaction and loyalty.
         Important?
                                                                 Operational Efficiency: Streamlining processes through
         Data analytics is the systematic process of examining large
                                                                 data  analysis leads  to  cost  reductions, optimized
         and  varied  data  sets  to  uncover  hidden  patterns,
                                                                 resource allocation, and improved service delivery.
         correlations, market trends, customer preferences, and
         other actionable insights. It involves the use of statistical  Regulatory Compliance: Analytics aids in monitoring
         techniques, algorithms, and technologies to transform raw  and ensuring compliance with regulatory requirements,
         data into meaningful information that supports decision-  minimizing legal and financial penalties.
         making and strategic planning.
                                                                 Competitive Advantage: Leveraging data analytics
                                                                 enables banks to anticipate market trends, innovate
         For banks, data analytics holds significance due to several
         factors:                                                product offerings, and stay ahead of competitors.

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