From start to first launch. Supercharged development and implementation of fully automated data intelligence system to capture information about critical data for insights to take necessary precautions in Denmark.
Defining data model to structure data from all over Denmark to capture critical insights.
A part of Danish authorities urgently needed expert insight from a highly specialised data analytics team to help collect, structure, connect and confirm correctness of critical and relevant data across Denmark, in order to minimise potential disruptions caused by the COVID-19 outbreak.
Halfspace were able to establish fully automated ETL pipelines (Extract, Transform, Load) of several data sources orchestrated by Azure Data Factory and transformed using the Apache Spark Engine in Databricks giving Danish authorities direct insights in COVID-19 related data across all of Denmark.
The Key Takeaway
Any organisation can benefit from capturing, analysing and sharing vast amounts of data to gain insights and thereby enhance decision-making. Being able to take precautions, plan and react well in advance is crucial in order to ensure supply chain efficiency whether in the public or private sector.