Development of an Analytics Dashboard for Personalized Customer Insights in Banking

A major financial institution struggles to derive actionable insights from its legacy data systems, hindering its ability to offer personalized banking services that meet modern customer expectations. The existing infrastructure lacks the capability to effectively analyze diverse product data to understand customer needs and preferences, affecting customer satisfaction and retention.

A large multinational bank with diverse financial products, seeking enhanced data-driven customer engagement strategies.

• Extract and process data from legacy banking databases to enable comprehensive analysis.
• Develop a modern, interactive dashboard providing real-time business intelligence tailored to customer behavior.
• Ensure compliance with data security and privacy standards while handling sensitive banking data.
• Standardize data formats and establish efficient data structures to facilitate fast and scalable analysis.
• Empower product managers and customer service teams with insights to deliver relevant, individualized offers.

• Data extraction module from legacy banking databases including savings, loans, mortgages, and investment data.
• Data cleaning, normalization, and formatting workflows to prepare data for analysis.
• Development of structured data models and data marts optimized for fast retrieval and analysis.
• Design of an interactive, customizable dashboard interface displaying key business metrics and customer insights.
• Role-based access controls to ensure data security and compliance with regulatory standards.
• Prototype wireframes and report generation functionalities to demonstrate new analytical capabilities.

• Legacy banking databases (Savings, Loans, Mortgages, Investments)
• Security and compliance systems for sensitive data handling
• Existing BI tools and reporting systems for seamless integration

• Data processing and dashboard updates should be achievable within a few minutes to support real-time decision-making.
• Full compliance with financial data security regulations and privacy standards.
• System scalability to accommodate increasing data volume and user base.
• High availability with minimal downtime for ongoing business operations.

The project aims to significantly enhance the bank's ability to analyze diverse customer data, leading to more personalized banking services. Expected outcomes include improved customer satisfaction and loyalty, better targeting of product offers, and increased operational efficiency. Quantitatively, the initiative seeks to enable faster data insights and ensure compliance, thereby supporting strategic growth and competitive advantage in the financial sector.