September 2025 monthly summary for ONSdigital/construction-survey-results. Implemented build script modernization to streamline the monthly-business-survey-results dependency update process, improving reproducibility and CI reliability. Key changes include replacing a direct Docker command with a Makefile target to update the dependency and updating setup.cfg to point to the dependency's GitHub repository.

July 2025 performance summary for the ONSdigital/construction-survey-results repository. Delivered a structured data workflow that consolidates input files (qv, cp, finalsel) into a JSON snapshot, added live vs frozen state processing with dedicated data staging paths and tests, and hardened staging/data-quality controls to improve data integrity and reduce production risk. This work enables reliable, auditable survey data outputs for downstream analytics and decision-making.

June 2025 monthly summary focusing on key business-value and technical achievements across two repositories. The work demonstrates end-to-end pipeline improvements, data integrity, and maintainability enhancements that collectively raise reliability and reporting quality for the business-survey platform.

May 2025 performance summary for two primary repos: ONSdigital/construction-survey-results and ONSdigital/monthly-business-survey-results. The month delivered tangible business value through data-quality improvements, flexible configuration, and robust estimation/reporting capabilities.

April 2025 delivered feature-rich updates and foundational quality improvements for ONSdigital/construction-survey-results, focusing on data completeness, test reliability, and deployment readiness. Business value centers on improved data integrity across contributors and periods, faster validation via tests, and smoother staging deployments.

March 2025 monthly summary for ONSdigital/monthly-business-survey-results: Delivered data quality enhancements for outlier detection and winsorisation, improving accuracy and reliability of monthly survey analytics. Implemented integration with auxiliary_converted as the primary source for outlier detection and constraints, clarified the constraint naming with frotover to converted_frotover, and tightened winsorised value calculations with a tolerance-based update. These changes reduce reporting discrepancies, enable more trustworthy insights, and lay groundwork for future data quality improvements.

February 2025 monthly summary for ONSdigital/monthly-business-survey-results focusing on business value and technical achievements.