Setu™
Legacy BI to modern analytics: migration, parity, and AI-ready insight.
Overview
Setu is the legacy-to-modern BI story: move enterprises off aging dashboard estates onto modern analytics platforms, validate parity, recover license spend, and activate AI/BI use cases (Microsoft Fabric data agents, Databricks Genie, and similar) on the destination. Tableau and peer suites are the migration case studies under that narrative, not the product headline.
The problem
Enterprises are stuck on legacy BI estates that burn license spend and block the move to modern platforms and AI-native analytics.
The outcome
A clear path from legacy to modern BI: automated migration with parity, license recovery, and activation of AI/BI agents on the target platform.
Modules
Legacy Estate Intake
Inventory dashboards, data sources, and real usage across the legacy suite.
Auto-Migration Engine
80–90% of dashboards converted automatically.
Parity Validation
Verify migrated output matches the source.
AI/BI Activation
Stand up data agents on Fabric, Databricks Genie, and peer platforms.
How it works
Inventory the legacy estate
Dashboards, data sources, and real usage are catalogued so the program is scoped on evidence.
Auto-migrate
The engine converts 80–90% of dashboards to the target modern BI platform automatically.
Validate parity
Migrated output is compared against the source until it matches.
Activate AI/BI
Data agents and conversational analytics on Fabric, Genie, and peers unlock the next layer of insight.
Integrations
Ideal for
- Enterprises retiring legacy BI toward modern platforms
- BI and data-platform teams consolidating analytics estates
- Leaders standing up Fabric data agents or Databricks Genie
- Finance owners chasing license savings on the way through
- dashboards migrated
- 0+dashboards migrated
- to completion
- 0 weeksto completion
- license savings
- $0Mlicense savings
FAQ
Is Setu only a Tableau migrator?
No. Tableau is a flagship case study under Setu's legacy-to-modern BI positioning. The product is the path to modern platforms and AI/BI activation.
What migration rate can we expect?
Typically 80–90% of dashboards convert automatically; the remainder are prioritized for guided manual work.
Which modern BI and AI targets are supported?
Targets include Power BI, Microsoft Fabric, Looker, Snowflake, and Databricks, including Fabric data agents and Databricks Genie. The stack is confirmed during scoping.
How do you prove the migration is correct?
Parity Validation compares migrated dashboards against the source, so you sign off on evidence, not hope.