Delivering Actionable Insights: Combining Python, SQL, and Predictive Modeling Techniques for Customer Analytics and Dashboarding
Keywords:
Python, SQL, predictive modeling, customer analytics, dashboarding, churn prediction, customer segmentation, machine learning.Abstract
This study explores the integration of Python, SQL, and predictive modeling techniques to deliver actionable insights for customer analytics and dashboarding. The research focuses on analyzing customer behavior, predicting key outcomes such as churn and lifetime value, and developing an interactive dashboard for real-time decision-making. Data was collected from transactional databases and CRM systems, preprocessed using Python libraries like Pandas and NumPy, and analyzed using machine learning algorithms, including gradient boosting and random forests
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