Multi-Source Data Processing Automation

Automates data processing across multiple spreadsheet sources by introducing structured intermediate storage and modular processing logic.

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Project Overview

In collaborative workflows, data is often collected from multiple spreadsheets maintained by different contributors.

Managing and processing these sources manually becomes difficult when:

• multiple data sources need to be tracked
• data formats are inconsistent
• records must be matched across sheets

This project introduces a structured automation workflow to organize data sources, generate reusable datasets, and support cross-source analysis.

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Problem

Manual handling of multi-source spreadsheet data leads to:

• fragmented data across multiple sheets
• repeated data preparation work
• complex and error-prone matching processes

As data volume increases, these workflows become inefficient and difficult to maintain.

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Design

The system is structured around three core decisions:

• Centralized intermediate dataset (JSON)
  Converts spreadsheet data into structured JSON for reuse

• Separation of data collection and analysis
  Isolates source management from matching logic

• Modular processing components
  Divides the workflow into independent stages for easier maintenance

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Result

• organizes fragmented data sources into structured datasets
• reduces repeated data preparation work
• simplifies cross-sheet data matching
• improves maintainability through modular design

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Workflow (Simplified)

Source Data Sheets
   ↓
Generate JSON Dataset
   ↓
Store in Google Drive
   ↓
Load for Matching
   ↓
Process Data
   ↓
Write Results

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Project Structure

src/
    component_A_source_management/
    component_B_matching_analysis/

docs/
    architecture.md
    workflow.md
    code-structure.md

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Technologies

• Google Apps Script
• JavaScript
• Google Sheets
• JSON

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Notes

• represents an intermediate stage between simple automation and structured system design
• introduces modular processing and reusable data layers
• serves as a foundation for further system evolution

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Related Projects

This project represents an intermediate stage in an evolving automation workflow:

• Ticket Data Matching System with Incremental Processing
  Extends this approach by introducing reusable historical datasets and incremental processing logic

• Basic Data Processing Automation
  Earlier stage focusing on automating single-workflow spreadsheet processing

This project establishes structured data processing and intermediate storage, forming the foundation for more advanced data matching systems.