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
Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
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.
Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
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
Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
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.
Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.