Significant improvement in time-to-market: A standardized and automated development approach guides developers through the various development layers.
Efficient integration of data from both SAP and non-SAP sources.
Data Vault and automation facilitate a modern, stable, scalable, and expandable Data Warehouse.
Combined Data Lakehouse and DWH approach: Simple extension of the data model using existing data from the Data Lake.
Short feedback and implementation cycles through automation and Data Vault modeling enable a smooth expansion.
Datavault Builder’s Git integration enables the automation of deployment processes and decentralized and agile development. C&A’s cloud strategy ensures future readiness: Scalability and flexibility are achieved through Datavault Builder’s containerization using Docker.
