Snowflake & Data Architecture – the foundation for everything
Transaction data, user data, external sources – all in one place, cleanly modeled, directly usable for analytics and AI. A modern data architecture is not an IT investment. It's a competitive advantage.
Without data foundation, no AI
Every AI project, every personalization engine, every predictive analytics model requires a solid data foundation. Those who train with poor data get poor models.
We use Snowflake as the central data platform: cloud-native, scalable, with strong integrations to eCommerce platforms, marketing tools, and AI frameworks. Our projects always start with a data audit.
- Cloud-native, multi-cloud, with clear separation of storage and computeSnowflake setup & configuration
- Data Vault or Star Schema – depending on requirements and teamData modeling
- Clean, documented pipelines from ERP, CRM, eCommerce, and external sourcesETL/ELT pipelines
- Data catalog, lineage, and quality checks for trustworthy dataData governance
Long-term partnerships with leading brands
Frequently Asked Questions
Snowflake has three decisive advantages: separation of storage and compute (you only pay for what you use), native data sharing, and strong integrations for eCommerce and ML frameworks.
A first productive data architecture with 2–3 source systems is built in 6–8 weeks. A complete enterprise data platform with 10+ source systems takes 3–6 months.
A Data Foundation Your Business Can Grow On.
Talk to us about your data stack.
Get in touch
We look forward to your enquiry.
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