Siloed data across departments slowed executive decisions. Unified on Databricks with AI agents, pricing and sales now run on data, not instinct.
A major fuel distribution and retail company operating across Brazil, with each business area managing its own separate data systems.
Running independent data silos across departments made it difficult to consolidate information, slowing analysis and delaying decisions for...
Major fuel distributor and operator of gas stations and convenience stores in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Ipiranga's Pricing and sales analysis is part of this use case:
Related implementations across industries and use cases
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
Most staff worked around the data warehouse in Excel; new reports queued behind Qlik specialists. Now executives query KPIs from Teams.
Siloed data forced manual reviews of thousands of reports. AI agents now analyze sales volumes and SKU performance instantly.
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
Most staff worked around the data warehouse in Excel; new reports queued behind Qlik specialists. Now executives query KPIs from Teams.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Siloed data across departments slowed executive decisions. Unified on Databricks with AI agents, pricing and sales now run on data, not instinct.
A major fuel distribution and retail company operating across Brazil, with each business area managing its own separate data systems.
Running independent data silos across departments made it difficult to consolidate information, slowing analysis and delaying decisions for...
Major fuel distributor and operator of gas stations and convenience stores in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Ipiranga's Pricing and sales analysis is part of this use case:
Related implementations across industries and use cases
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
Most staff worked around the data warehouse in Excel; new reports queued behind Qlik specialists. Now executives query KPIs from Teams.
Siloed data forced manual reviews of thousands of reports. AI agents now analyze sales volumes and SKU performance instantly.
Even business analysts had to learn SQL just to run queries. Now teams ask in plain Portuguese — logistics, sales, and fraud self-serve.
Most staff worked around the data warehouse in Excel; new reports queued behind Qlik specialists. Now executives query KPIs from Teams.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.