The AA
Self-service analytics
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
- Up to 70% reduction in query resolution time
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Brazil's largest automotive marketplace connects car buyers and sellers while aiming to inform every organizational decision with rigorous data analysis.
Non-technical employees could not analyze data independently, forcing them to file support tickets for even simple questions. This bottleneck...
“Databricks AI/BI Genie has transformed the way we deliver and consume data across Webmotors. What was once a bottleneck — reliant on manual tickets, slow SLAs and low data literacy — has become a scalable, autonomous and monitored self-service ecosystem.”
Webmotors's Self-service analytics is part of this use case:
Online automotive marketplace for buying and selling cars and motorcycles in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Conflicting rules across 3,000 services blocked qualified drivers. AI now traverses a graph to validate dependencies in milliseconds.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Brazil's largest automotive marketplace connects car buyers and sellers while aiming to inform every organizational decision with rigorous data analysis.
Non-technical employees could not analyze data independently, forcing them to file support tickets for even simple questions. This bottleneck...
“Databricks AI/BI Genie has transformed the way we deliver and consume data across Webmotors. What was once a bottleneck — reliant on manual tickets, slow SLAs and low data literacy — has become a scalable, autonomous and monitored self-service ecosystem.”
Webmotors's Self-service analytics is part of this use case:
Online automotive marketplace for buying and selling cars and motorcycles in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Ad hoc queries bottlenecked specialists for days. Staff now ask questions in Teams and get sales data in seconds.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Conflicting rules across 3,000 services blocked qualified drivers. AI now traverses a graph to validate dependencies in milliseconds.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.