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[The 31January power dashboard is the one of the first dashboards i had made. Its not relevant in this project]

This project analyzes customer-level banking data from 1995–2021, covering approximately 3,000 customers across American, African, Asian, and European regions

Despite steady customer growth (81% increase from 2016–2021), the bank faces liquidity and risk challenges, driven by a low loan-to-deposit ratio, high loan-to-income ratio, and regional risk variations.

The aim of this project is to uncover actionable, data-driven insights to:

Support informed decisions on liquidity, collateral, and customer segmentation.

Identify risks in current lending and deposit practices.

Recommend strategies to retain and engage profitable customer segments.

Key Findings:

  • Loan-to-deposit ratio below 1.0 — violates Basel III, indicating liquidity risk.
  • Loan-to-income ratio very high (9.2x) — increasing potential for default.
  • Majority of borrowers are younger (21–35), active but lower collateral.
  • Medium-income clients dominate deposits, high-income clients prefer borrowing but less engaged for deposits.
  • Regional differences: Asian clients have stronger deposits; Europeans have higher defaults.

Suggested Actions:

  • Freeze or securitize loans temporarily until deposits improve, or explore bonds for liquidity.

  • Strengthen affordability checks and stress-test portfolios to prevent defaults.

  • Retain medium-income and high-income clients through loyalty and bundled premium services.

  • Offer financial literacy and graduated products for younger borrowers.

  • Customize collateral and marketing strategies by region.

About

Bank Risk Analysis : Created Power BI dashboards to uncover lending risks and ensure compliance with Basel III standards.

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