Session Outline
Grundfos is integrating SAP, MES, CRM, and many other sources into Snowflake to support a global data platform that powers multiple data products. The most critical among them is the market opportunities data product, now used by 500+ users to identify new business potential. Another key use case is product portfolio harmonization, ensuring consistency across global operations. With VaultSpeed, Grundfos has automated data integration and modeling, providing standardized, governed code across regions, while Snowflake enables regional data residency compliance. This session will cover how automation reduces manual effort, ensures consistency, and cuts operational overhead, helping Grundfos make smarter data-driven decisions.
Key Takeaways
- Balancing Centralized & Decentralized Data Modeling How Grundfos centralized governance and automation while allowing decentralized domain teams to contribute to data modeling, ensuring business ownership of data without sacrificing control.
- Establishing a Standardized Automation Layer Between Metadata & Code How Grundfos eliminated manual intervention between metadata and generated code, ensuring consistency, governance, and peace of mind when deploying data models at scale.
- Reducing Operational Overhead with Design-Time Code Why compiling code at design-time helps cut compute and maintenance costs, reducing inefficiencies in data processing.
- Snowflake’s Role in Regional Data Compliance How Grundfos meets data residency regulations while maintaining a unified data platform. VaultSpeed generates the code and delivers it to the designated data cloud region, ensuring compliance.
