Adopt the modern data stack
Data Governance
Certify the reliability of your data products across the modern data stack
High-level approach
Our Governance Process
We adhere to a validated process to migrate legacy data projects to a Snowflake-centric platform.
Data Quality
Validate the correctness of your data in technical and business context
- Technical KPI's and freshness
- Checks in business context
Data Cataloging
Improve the findability of the data products in your organization
- End-to-end lineage across platform components
- From integrations to business glossary
- Reduce service request from data users
AI-Aided Migration
Snowflake migration kit
Our proprietary migration tool analyzes your current data pipelines at scale, and generates a Snowflake-ready dbt projects.
Time saved on analysis
0 %
Time saved on conversion
0 %
Time saved on deployment
0 %
Case studies
A telco realized material cost reductions by migrating legacy Datastage ETL workloads to Snowflake and dbt.
A “big farma” enterprise structurally organized their migration to Snowflake by centrally designing capabilities
