Customer Segmentation Using Clustering Techniques

To understand the importance of customer segmentation in finance industry.

To explore different clustering techniques for customer segmentation.

To apply clustering techniques on financial data to segment customers.

To analyze the results of customer segmentation and identify meaningful segments.

Conduct a literature review on customer segmentation in the finance industry.

Identify and collect relevant financial data for customer segmentation.

Apply clustering techniques such as K-means, hierarchical clustering, and DBSCAN on the financial data.

Evaluate the results of customer segmentation and interpret the findings.

Present the findings and make recommendations for businesses in the finance industry based on the segmented customer groups.