Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
A Brazilian private pension provider operating in a heavily regulated financial sector, with a robust internal analytics platform that business users couldn't access without help from data specialists.
Business users had to submit requests to the data team or rely on static dashboards to answer everyday questions, creating queues and slowing...
“With Genie, business knowledge became the decisive factor, not technical knowledge of tools.”
Private pension and retirement savings plans for individuals and companies in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Brasilprev's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
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.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.
Business users queued requests to specialists for simple questions. Now they ask in plain language—business knowledge drives the work.
A Brazilian private pension provider operating in a heavily regulated financial sector, with a robust internal analytics platform that business users couldn't access without help from data specialists.
Business users had to submit requests to the data team or rely on static dashboards to answer everyday questions, creating queues and slowing...
“With Genie, business knowledge became the decisive factor, not technical knowledge of tools.”
Private pension and retirement savings plans for individuals and companies in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Brasilprev's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
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.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.