C&A Success Story

  • Significant improvement in time-to-market through the Datavault Builder: A standardized and automated development approach guides developers through the various development layers.
  • Efficient integration of data from both SAP and non-SAP sources through the combination of Snowflake and Datavault Builder.
  • Data Vault and automation enabled by Datavault Builder facilitate a modern, stable, scalable, and expandable Data Warehouse (DWH).
  • 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.

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Revolutionizing Retail with Data Warehouse Automation

In today’s retail industry, success depends on turning massive amounts of data into actionable insights. From managing inventory and sales to understanding customer behavior and optimizing supply chain logistics, retailers face the challenge of leveraging data efficiently to remain competitive.

Porta - Next Generation Business Intelligence

Thanks to the Data Vault concept, and its easy implementation with Datavault Builder, data can now be stored and managed efficiently, more organized and with greater flexibility for agile development. Short-term provisioning of Data Marts for specialized departments with up to 200 KPIs, which are then accessed by Power BI. The EDWH is developed by the Data Engineering and Data Analytics departments in a comprehensive collaboration as a generally accepted Single Point of Truth.

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