Abstract

Statistics Canada is using data science and modern analytics as key methods to provide more value in the products and services it delivers to Canadians. Statistics Canada has been on a journey of adopting R and Python into its mainstream statistical processes since 2020. Fully integrating these open source technologies and associated modern methods into the day-to-day production pipelines of official statistics is more than just technology, it requires a cultural transformation. Statistics Canada approached open source adoption by providing the tools, support and resources to programmers from a variety of backgrounds and disciplines that extend beyond traditional roles. This cultural shift is being driven intentionally with intersecting pillars that include new governance models, partnerships and employee empowerment. This presentation outlines the critical role that democratizing programming has played in incorporating open source into production, the contributions of governance, partnerships, people and investment to effect this transformation, the progress achieved so far and the lessons learned along the way.