Case Study: Qrious achieves real-time data analysis with Matillion

A Metadata-driven Approach Enabling Real-time Data Analysis at Qrious

Qrious worked with Matillion to address a need to dynamically ingest data from multiple sources using a metadata-driven approach. The company wanted a way to manage real-time data analysis without relying on expensive migration projects.

Matillion helped Qrious create a utility that used parameters and metadata stored in Snowflake to dynamically extract and ingest data from sources including SQL Server and SharePoint. The approach enabled regular data ingestion, including Change Data Capture, and dynamic Slowly Changing Dimensions, which reduced data management costs, lowered downtime and quality assurance effort, and improved data quality and accuracy.

Qrious