RetailBusiness Intelligence

How Grupo Casas Bahia Uses Databricks AI/BI Genie to Cut Analysis Time from Hours to Minutes

Grupo Casas Bahia is one of Brazil’s largest retail chains, serving millions of customers across a wide range of household goods. The company deployed Databricks AI/BI Genie to give business teams natural-language access to their data without requiring SQL expertise. Analysis that previously took five to six hours now completes in under two minutes.

Outcomes

5–6 hours down to 2 minutesReduction in analysis time
Forward-looking instead of historicalDecision-making approach
Multiple additional use casesData access expansion

Tools & Technologies

1DA
Databricks AI/BI Genie
Natural language querying interface that lets non-technical users ask questions in plain English and get instant analytics from data lakehouses.
2MT
Microsoft Teams
Collaboration and chat platform by Microsoft for team messaging, video calls, and file sharing.

AI Categories

Challenge

Analysts across Grupo Casas Bahia needed SQL expertise to query data, creating a bottleneck that overwhelmed the central data team and left business users unable to self-serve insights. Inconsistent business logic across departments further undermined confidence in the numbers.

Solution

The company deployed Databricks AI/BI Genie, enabling natural-language queries in Portuguese against standardized, centralized data. Genie was integrated with Microsoft Teams via the Conversation API, and connected to Databricks AutoML models for inventory forecasting and fraud detection.

Full Story

Grupo Casas Bahia operates at a scale that generates enormous volumes of data across logistics, sales, and fraud prevention—data that, until recently, only a handful of SQL-proficient analysts could effectively access. The company’s scale demanded a faster, more distributed approach to decision-making, yet the tools in place created bottlenecks rather than flow.

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Source

DATABRICKS
January 2025
Original case study

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