Data Cleaning and Quality Management

Data Quality Management
We conduct large-scale data cleaning operations to resolve systemic issues in registries and institutional datasets. Our approach combines technical automation with domain-specific expertise to improve the usability of critical data sources.


We conduct large-scale data cleaning operations to resolve systemic issues in registries and institutional datasets. Our approach combines technical automation with domain-specific expertise to improve the usability of critical data sources.


  • TriniCrawler project – correction of 56,000 errors across tax registry datasets, Ministry of Finance of Trinidad & Tobago (2024)
  • Integration of utility and postal datasets (TTPOST, T&TEC, WASA, GIS) to enhance the accuracy of 237,000 property records (2024)

Related references and case studies:

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