Analysts spent days hunting data scattered across systems and dashboards. Plain-English questions now return trusted, auditable answers.
A consumer lender operating in a regulated environment where every data-driven answer must be governed and auditable, with analysts drawing from data spread across production systems, external vendors, and dozens of internal dashboards.
Analysts spent days hunting for the right data before analysis could begin, with each team's dashboards built differently and follow-up questions...
“The first business challenge we could see across the organization was simply where to find the data.”
Fintech platform for personal loans and automated savings tools.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Oportun's Self-serve analytics is part of this use case:
Related implementations across industries and use cases
Thousands of tables tracking the same metrics differently. No one knew which to trust — not humans, not AI. One governed layer changed that.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers 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.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Buyers discovered missing approval steps midway and restarted from scratch. A single intake door with real-time AI correction ended that.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Analysts spent days hunting data scattered across systems and dashboards. Plain-English questions now return trusted, auditable answers.
A consumer lender operating in a regulated environment where every data-driven answer must be governed and auditable, with analysts drawing from data spread across production systems, external vendors, and dozens of internal dashboards.
Analysts spent days hunting for the right data before analysis could begin, with each team's dashboards built differently and follow-up questions...
“The first business challenge we could see across the organization was simply where to find the data.”
Fintech platform for personal loans and automated savings tools.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Oportun's Self-serve analytics is part of this use case:
Related implementations across industries and use cases
Thousands of tables tracking the same metrics differently. No one knew which to trust — not humans, not AI. One governed layer changed that.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers 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.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Buyers discovered missing approval steps midway and restarted from scratch. A single intake door with real-time AI correction ended that.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.