Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
One of the largest financial institutions in Brazil, managing an open finance ecosystem where 4M+ customers share financial data across banking institutions.
Business analysts relied entirely on data engineers to answer even routine open finance questions, from comparing credit card usage across...
“Genie translated our need for agility into real-time answers, giving analysts a fast, trusted way to explore and act on data.”
Full-service commercial bank providing retail, corporate, and investment banking services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Bradesco's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
One of the largest financial institutions in Brazil, managing an open finance ecosystem where 4M+ customers share financial data across banking institutions.
Business analysts relied entirely on data engineers to answer even routine open finance questions, from comparing credit card usage across...
“Genie translated our need for agility into real-time answers, giving analysts a fast, trusted way to explore and act on data.”
Full-service commercial bank providing retail, corporate, and investment banking services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Bradesco's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.