Gasunie’s PIO team had to deal with a complex work environment in which large volumes of unstructured and scanned drawings had to be processed. On top of that came error-prone extraction processes, scripts that were difficult to repeat and a lack of standardization. It also lacked proper CI/CD integration, which resulted in slow and unreliable deployments within their DevOps landscape. This combination of technical obstacles made it difficult to work efficiently and scalably.
Our consultant was involved in three diverse projects within Gasunie: the COā monitor, Dummy Scrape and the M&R dashboard. In these projects, technical PDF documents were automatically scrapped and structured using Python in combination with fuzzy regex techniques, in order to make valuable information accessible. In addition, a robust CI/CD pipeline was established via Azure DevOps, significantly improving development and deployment processes. Finally, content was advised on sustainable data storage, data structuring and a future-proof governance approach.
