Skip to content

Repository files navigation

O2C Accounts Receivable Analytics using SQL

Overview

SQL project focused on Accounts Receivable (AR) and Order-to-Cash (O2C) analytics using the IBM Finance Factoring dataset.

The project analyzes customer payment behavior, invoice disputes, settlement performance, invoice aging, and customer risk using MySQL.

Dataset

IBM Finance Factoring – Late Payment Histories

Key fields:

  • Customer ID
  • Country Code
  • Invoice Number
  • Invoice Amount
  • Days Late
  • Days To Settle
  • Disputed Status

Key Analysis

  • Customer Payment Behavior Analysis
  • Invoice Aging Analysis
  • Customer Risk Classification
  • Dispute Analysis
  • Settlement Performance Analysis
  • Revenue Concentration Analysis
  • High-Value Late Customer Identification

SQL Concepts Used

  • SELECT
  • WHERE
  • GROUP BY
  • ORDER BY
  • HAVING
  • LIMIT
  • CASE WHEN
  • COUNT(), SUM(), AVG()

Tools

  • MySQL
  • SQL
  • GitHub

Author

Prateek Kandwal

About

SQL project analyzing customer payment behavior, invoice disputes, settlement performance, invoice aging, and revenue concentration using IBM Finance Factoring data.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors