Bank Customers data analysis using Power BI and Python preprocessing

I've developed a powerful data dashboard using Power BI enhanced with python preprocessing that can revolutionize your understanding of customers.

This interactive tool delves into a rich dataset, revealing hidden patterns and trends about:

Demographics: Age, job type, marital status, and education level

Financial Standing: Credit default history , average balance, housing and personal loans

Communication Preferences: Contact type (cellular or telephone) and preferred days/months for contact

Campaign Performance: Contact frequency, previous campaign results, and new campaign effectiveness

But wait, there's more! Our dashboard also highlights the crucial role of "duration," a metric that measures the length of customer interactions. While not directly predictive, it provides valuable insights into engagement levels.

Key Benefits:

Deeper Customer Understanding: Gain a comprehensive view of your customer base to inform targeted marketing strategies.

Improved Campaign Effectiveness: Optimize campaigns by identifying peak contact times and preferred communication methods.

Data-Driven Decisions: Make informed choices based on concrete evidence and customer behavior.