AI case study

WebmotorsNatural language data queries

Cross-functional teams queued every data question—even simple ones—through a 3-day ticket backlog. Natural language queries made them self-sufficient.

Published

Key results

Analyst Time Saved
200 hours
Time Saved Per Request
2 hours
AI Conversations
2,800+

Result highlights

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The story

Context

Brazil's largest automotive marketplace, with cross-functional teams in product, marketing, sales, and finance depending on a central data team for analysis and reporting.

Challenge

Employees could access data but lacked the SQL skills to analyze it independently, routing even simple questions, like combining two datasets,...

Solution
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Scope & timeline

  • 214 users trained across departments
  • 100+ monthly active users in under 6 months

Quotes

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The company

Online automotive marketplace for buying and selling cars and motorcycles in Brazil.

IndustryAutomotive & Mobility
LocationSão Paulo, SP, Brazil
Employees251-1K
Founded1995

The vendor

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

Use case

Webmotors's Natural language data queries is part of this use case:

Data Intelligence
83 case studies(+353% YoY)
Proven impact?
LowModerateVery Strong
4.0Moderate
2.7Lowwithin Knowledge Management

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