Account Segmentation of Partner Ledger

Overview

This repository focuses on the account segmentation of a partner ledger, providing insights into the categorization and analysis of financial transactions related to various partners. Effective account segmentation is crucial for financial management, reporting, and decision-making within a company.

Methodology

The analysis utilizes accounting data, partner information, and segmentation criteria to classify and organize ledger entries. Techniques such as data filtering, clustering, or custom rules may be employed to achieve a meaningful segmentation of partner accounts.

Data

• Journal Items
• Master Account
• Master Journal

Analysis

SQL and Jupyter Notebooks scripts demonstrating the process of account segmentation and illustrating the data processing, analysis, and visualization steps.

Results

In the conducted query, the analysis revealed the presence of both payable and receivable balances in the partner ledger. Payable balance signifies funds that the company should disburse, while receivable balance represents funds that the company is expected to receive. Notably, during the 2022 timeframe, only receivable balances were identified. Among the various partners engaged in transactions, it was observed that the partner "Customer Top Up" had the highest receivable balance. This highlights the importance of enhanced monitoring and oversight for transactions involving the "Customer Top Up" partner. It suggests the need for closer scrutiny and improved management practices to ensure effective financial transactions. These insights aim to guide further analysis and decision-making processes related to partner management and financial oversight.

License

This project is licensed under the Bitlabs Academy.

Usage

1. Clone the repository:

   git clone https://github.com/strigoimort/account-segmentation-of-partner-ledger.git