Credit Card Attrition

In Tableau, I utilized scatter plots and bar charts to analyze credit card attrition data and derive actionable insights. With scatter plots, I effectively visualized the differences between attrited and existing customers, highlighting distinct patterns and trends. Additionally, I employed bar charts to provide a comparative analysis of key metrics, allowing for a clear understanding of the factors contributing to customer churn. Through these visualizations, I aimed to provide stakeholders with valuable insights to identify potential churn factors and develop strategies to improve customer retention.

Maven Coffee Roaster:

In this project, I developed a comprehensive dashboard that effectively captured and presented key performance indicators (KPIs) related to sales, quantity sold, and the total number of customers. The dashboard offered a year-to-date overview along with a year-over-year comparison, utilizing shape indicators with percentage changes for quick insights. To enhance granularity, I incorporated graphs that allowed a detailed analysis of key metrics concerning various dimensions such as product groups, categories, specific products, stores, and weekdays. Moreover, I leveraged geospatial data to identify competitor radii from Maven Roadster, dynamically adjusting competitor counts based on store-specific radii. The dashboard seamlessly integrated all these elements, providing a comprehensive view of sales metrics and competitor relationships within a single interface

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