The Challenge

Accelerating insight across hybrid complexity

Banco Bradesco is one of Latin America's largest financial institutions, serving more than 110 million customers through over 2,300 branches and a rapidly expanding digital ecosystem.

In recent years, Bradesco adopted Databricks and other analytics solutions to deliver better insights to business users. But it’s a challenge to deliver analytic data across a large and complex hybrid cloud environment, especially at the speed demanded by the business.

For Bradesco, connecting cloud-based analytic workloads to other systems required extensive manual scripting. The bank wanted to replace the manual work with a solution that would:

• Orchestrate data across the bank’s mainframe and cloud platforms and its analytics pipelines
• Ensure data governance and trustworthiness
• Do all of this with speed and consistency

The Solution

Automating and productizing data pipelines

By using Control-M to orchestrate end-to-end processing across Bradesco’s z/OS, Microsoft Azure, and Google Cloud environments, the bank’s Data Intelligence team standardized, automated, and productized end-to-end data pipelines. As a result, Bradesco’s business users can quickly request and receive advanced analytics that inform and help optimize critical business functions.

Even when making a first-time request for a particular dataset or analysis, a user can have the insights they need within an hour.

The Data Intelligence team created a new service request portal where business teams define data requests. Once a request is approved, Control-M automatically provisions the necessary resources, deploys agents, creates and validates workflows, promotes them between environments, and moves them into production—typically within 30 to 60 minutes.

Results

Faster insight for critical processes

The 30–60 minute request-to-delivery window significantly accelerates the availability of data for critical processes, including:

• Regulatory reporting
• Risk & compliance analysis
• Profitability analysis
• Customer behavior insights

Further, end-to-end transparency enables business areas—not just IT Operations—to monitor their final processing outcomes, driving collaboration and trust across IT and business functions.