📅 2025-02-25 — Session: Enhanced financial document processing automation
🕒 18:20–21:40
🏷️ Labels: Financial Documents, Schema Management, Data Processing, Automation, File Recovery
📂 Project: Accounting
⭐ Priority: MEDIUM
Session Goal
The session aimed to refine the automation processes for financial document handling, focusing on schema management, data cleaning, and performance evaluation.
Key Activities
- Schema Refinements: Updated the schema for processing financial documents to enforce categorical values and clarify roles of
account_id,property_id, andissuer. This included handling missing values and ensuring accurate categorization. - Billing Date Schema: Developed a JSON schema for Argentinian billing dates, ensuring compliance with local date formats and fallback values for payment due dates.
- File Recovery Guide: Provided steps for recovering lost files across different operating systems, including using recovery software.
- Parser Performance Review: Assessed parser performance, identifying successful operations and issues affecting data integrity.
- Data Cleaning and Normalization: Implemented a systematic approach using Python’s Pandas for cleaning and normalizing financial data, including date parsing and string normalization.
Achievements
- Successfully refined financial document schemas and billing date formats.
- Enhanced parser performance understanding and identified areas for improvement.
- Established a robust data cleaning and normalization process.
Pending Tasks
- Address identified parser issues to improve data integrity.
- Further refine the automation of bill processing and tracking strategies.