Solution 04
Data & Analytics
Every AI system is downstream of its data. Reliable pipelines, well-modelled storage, and clear governance are what make analytics trustworthy and models reproducible.
Scope
What it covers
Data platforms
Lakehouse and warehouse architectures that separate storage from compute and scale independently.
Pipelines
Batch and streaming ingestion with testing, lineage, and recovery built in.
Governance
Cataloguing, access control, and quality checks that make data discoverable and safe to use.
Analytics
Semantic layers and reporting that give business teams consistent definitions.
Approach
What we look at first
- 01Source system reliability
- 02Schema evolution
- 03Access policies
- 04Freshness vs. cost trade-offs
Related
Talk to us
Tell us about the workload. We'll help you think through the infrastructure behind it.