Search for Application Forms and Programs of Canadian Universities

Search for Application Forms and Programs of Canadian Universities

  • Project Type

    Data Processing
  • Project Length

    Aug, 2024 - Sep, 2024
  • Industry

    IT Services
  • Tools

    Airtable, Database

Great support for our Charity's data research project - delivered on time and to our expectations!

Spokesperson, Non-Profit Company

Key Results

  • 240 university application links provided
  • 500 scholarships validated
  • all fields of study completed with 95% accuracy

Project Description

A comprehensive data mining and verification project covering 240 post-secondary institutions across Canada. Our goal was to build a systematic database of verified application URLs, academic programs, and faculty details to empower the client’s research initiatives.

Client Problems

01. Platform Constraints: Technical limits within Airtable restricted the number of columns, making it difficult to organize a massive volume of detailed academic data.

02. Data Complexity: Gathering fragmented information about degree types, specializations, and unique programs into a unified format required high-level oversight.

03. Information Maintenance: Ensuring all URLs and program descriptions remained up-to-date and complete across hundreds of institutions.

Our Solution

Hybrid Data Architecture: We implemented a dual-platform solution using Airtable for quick reference and MS Excel for detailed supplemental datasets.

Categorization: To bypass Airtable’s structural limits, we developed a grouping methodology for similar programs, ensuring data relevance without sacrificing depth.

Multi-Step Verification: Every record underwent a rigorous review process to ensure verified URLs and program details met the 95% accuracy threshold.

Project Results

We delivered a flexible, multi-platform solution that perfectly catered to the client’s specific organizational needs. By implementing a synchronized Airtable-Excel system, we ensured that 100% of the required data was captured and delivered.

This approach successfully resolved all logistical challenges regarding data volume, providing an optimized database for informed decision-making and academic research while maintaining full consistency throughout the project.

  • Comprehensive Dataset
    100 %
  • Decision-Ready Data
    100 %
  • Structural Optimization
    100 %

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