Grupo Casas Bahia democratizes data at scale with Databricks
Brazilian retailer Grupo Casas Bahia migrated from a legacy SAS warehouse to Databricks, using Databricks Assistant to automate 80-90% of ETL script conversion, AI/BI Genie for nontechnical data access, and Unity Catalog for governance, cutting costs 70% and upskilling 107 nonengineering employees to use SQL and Python.
Overview
Brazilian retailer Grupo Casas Bahia migrated from a legacy SAS warehouse to Databricks, using Databricks Assistant to automate 80-90% of ETL script conversion, AI/BI Genie for nontechnical data access, and Unity Catalog for governance, cutting costs 70% and upskilling 107 nonengineering employees to use SQL and Python.
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Inspect the highlighted sourceThe challenge
Grupo Casas Bahia's legacy SAS environment disconnected data analysts from the data lake, forcing manual data movement, and over a decade of undocumented scripts — many written by staff no longer at the company — made the system costly to maintain and hard to scale for new use cases like product categorization and fraud detection.
The solution
Grupo Casas Bahia migrated from SAS to the Databricks Data + AI Platform, using Databricks Assistant (a GenAI tool) to convert SAS scripts into Python and SQL, identify and fix bugs, and generate documentation; AI/BI Genie to let nontechnical users query the data lake conversationally; and Unity Catalog as a governance layer to manage access and track table usage.
Reported business value
The migration delivered a 70% cost reduction compared to the legacy SAS system, with Databricks Assistant automating 80–90% of ETL script conversion and reducing migration documentation time from months to minutes in some cases. This enabled 107 nonengineering employees who didn't previously know how to code to actively work with SQL and Python, and over 200 users now access and analyze data directly through AI/BI Genie.
Sources
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