Operations & Billing Data Analysis

SQL-based analysis of subscription billing data

← Back to Portfolio

Project Overview

This project analyzes billing data for a subscription-based business to identify revenue risks, billing errors, and customer usage patterns.

Business Problem

A telecom company wants to understand billing performance, identify revenue leakage, and detect operational issues in their subscription service.

Dataset

Contains 10,000+ billing records with:

Customer demographics
Plan types and pricing
Usage data
Payment status
Billing error flags

SQL Analysis Performed

-- Key queries included:
-- 1. Customer distribution by plan type
-- 2. Average monthly charges per plan
-- 3. Billing error analysis
-- 4. Revenue forecasting
-- 5. High-usage customer identification

Key Insights

30% of revenue leakage came from billing errors
Premium customers generate 60% of revenue but are only 20% of customer base
Pending payments represent 15% of monthly revenue at risk

Tools Used

SQL CSV Business Analysis

Project Files

← Back to Portfolio