Customer Management & Analysis
Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Overview
In this module, students will explore how to derive actionable business insights from customer data using SQL. With the context of FoodExpress, a dynamic food delivery platform, learners will investigate customer activity, analyze acquisition patterns, and assess data quality issues. The focus is on using fundamental SQL skills to support marketing strategies, identify high-value customers, and flag potential churn risks.
By working with real-world-inspired datasets, learners will gain practical experience in querying, filtering, and analyzing customer information to support strategic decision-making.
Key Highlights
- Analyse the active customer base to measure engagement.
- Understand customer registration trends to uncover seasonal or campaign-driven growth.
- Identify inactive or never-activated customers for re-engagement initiatives.
- Audit and clean up customer contact information to improve communication and delivery accuracy.
- Track recent acquisition patterns over 30, 60, and 90 days for performance evaluation.
Learning Outcomes
- Use SQL to extract and analyze customer behavior from transactional datasets.
- Gain proficiency in using aggregate functions and date filters to reveal trends.
- Perform segmentation analysis to differentiate between active, inactive, and new customers.
- Evaluate data quality issues and apply corrective logic using SQL.
- Build a foundation in data-driven decision-making for customer lifecycle management.
Customer
| CSVDescription:
This file contains detailed customer records used for behavioral and demographic analysis within the food delivery domain.
- Contains unique customer IDs, names, contact information, and registration timestamps
- Supports segmentation by activity status, registration period, and demographic attributes
- Forms the foundational data for customer acquisition, engagement, and retention analysis
- Enables campaign targeting, churn identification, and lifecycle monitoring
- Essential for deriving KPIs such as activation rate, growth trends, and user base health
Use Case Doucment
| PDFDescription:
This document outlines a structured SQL-based learning module focusing on customer acquisition and behavioral analytics.
- Defines learning objectives, use cases, and business impacts within a CRM context
- Includes SQL scripts for analyzing customer activity, registration trends, and data quality
- Serves as a hands-on guide for students and analysts to explore real-world data use cases
- Supports education in customer segmentation, retention strategy, and operational analytics
- Ideal for training, onboarding, or product documentation in data-centric environments
$2.00 $1.50 25% OFF
About this Dataset:
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