Overview
Run dbt models against InsightLake facts/dims, visualize lineage, and enforce tests before publish.
Problem
Ad-hoc SQL creates fragile metrics without governance or reproducibility.
Solution
InsightLake links a workspace dbt project with versioned models, tests, and impact analysis on schema changes.
How it works
Connect your repo, configure environment variables, run tests, and publish models into the semantic layer with RBAC and audit logs.
Who is this for
Analytics Engineer
Data Platform
Expected outcomes
- Reproducible transformations with tests
- Clear ownership and impact analysis
Key metrics
Broken dashboard incidents
Baseline
6 per quarter
Target
1 per quarter
Model test coverage
Baseline
35 %
Target
85 %
Gallery
Downloads & templates
Case studies
EdTech moves KPIs into governed models
Fewer conflicting metrics, faster rollouts.
Education SMB NA
Security impact
- Modeled tables and views; repo metadata · PII: none (depends on models)
Compliance
- SOC2 (change management)
Availability & next steps
Enterprise