240 Canadian universities covered with 95%+ verified data accuracy
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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.
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 successfully resolved all logistical challenges regarding data volume, providing an optimized database for informed decision-making and academic research.
The challenge
- Platform Constraints — technical limits within Airtable restricted the number of columns, making it difficult to organize a massive volume of detailed academic data.
- Data Complexity — gathering fragmented information about degree types, specializations, and unique programs into a unified format required high-level oversight.
- Information Maintenance — ensuring all URLs and program descriptions remained up-to-date and complete across hundreds of institutions.
What we did
- 1 Hybrid Data Architecture — we implemented a dual-platform solution using Airtable for quick reference and MS Excel for detailed supplemental datasets.
- 2 Categorization — to bypass Airtable’s structural limits, we developed a grouping methodology for similar programs, ensuring data relevance without sacrificing depth.
- 3 Multi-Step Verification — every record underwent a rigorous review process to ensure verified URLs and program details met the 95% accuracy threshold.
Results
- Comprehensive Dataset — provided a total systematic database of verified URLs and program details.
- Decision-Ready Data — optimized the database for informed decision-making and academic research.
- Structural Optimization — maintained full consistency and optimized data delivery throughout the project.
Our methodology
How we ensure quality
Reliable lists come from a repeatable system, not one-off effort — the same process runs on every engagement.
Multi-source verification
Every record is cross-checked against multiple trusted sources before it's accepted.
Manual review layer
A human confirms each contact — nothing ships on automated matching alone.
Deduplication & hygiene
Duplicates, bounces, and stale entries are removed so the list stays clean.
Consistent field standards
A shared schema keeps every row complete and uniformly formatted for import.
Great support for our Charity's data research project - delivered on time and to our expectations!— Spokesperson, Non-Profit Company
