Unlocking Conversational Analytics on a Modernized Estate
A retail group finished a warehouse modernization but left its reporting layer untouched, so business users still wait on analysts despite the new platform underneath.
Run on Setu · Legacy-to-Modern BI
The challenge
The modern warehouse is underused because the reporting habits built on the legacy estate did not change with it.
Analysts remain the bottleneck for every ad hoc question, despite the data now being queryable.
Leadership cannot justify the platform investment without a visible change in how people get answers.
How Setu solves it
Estate Assessment
The existing report estate is catalogued against the new warehouse to find what can be retired outright rather than migrated.
Semantic Layer Alignment
Business definitions are mapped onto the modern platform so conversational tools have governed meaning to work from.
Migration and Parity
Retained reports are converted and parity-validated against their legacy output.
Agent Activation
Databricks Genie and Fabric data agents are configured against the aligned semantic layer.
Adoption Handover
Business teams are handed a working conversational surface rather than a platform and a training deck.
The outcome
A large share of the legacy report estate retired rather than carried forward.
Governed conversational analytics available on the modernized platform.
Platform investment visible to the business in how questions get answered.
Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.
Capabilities used
Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.
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