Implementation started with a proof of concept supported by Google Cloud and IPNET. The test focused on one key question: Could Looker execute real actions directly from dashboards? That capability would determine whether the company could simplify its architecture and still maintain the flexibility its projects required.

"I was very direct in the first meetings," affirms Rosa. "I said, 'I don't want pretty charts. I don't care if it paints or drags. I just need to know that Looker Action works, because we're changing our entire strategy around it.' And they understood."

Before moving forward, IPNET demonstrated a simple Looker Action calling an external API, enough to prove the concept. That confirmation gave iEVO Solutions the confidence to migrate one of its existing BI cases into the new environment. Within three weeks, the new version was live, reproducing all existing functionality inside a much cleaner and faster structure.

"We tested the full Looker Action during that phase, and it worked exactly as expected," says Rosa. "When I realized we could programmatically call any API from inside the dashboard, I thought they were lying. It sounded too good to be true, but it was real, and it changed everything."

The new architecture centralized modeling in LookML, improved control, and allowed the team to reuse structures across projects instead of rebuilding dashboards from scratch. Technical and business teams could finally work from the same environment, reducing friction and improving iteration speed.

"It's a financial company that successfully monitors user experience across different banks, achieving a unique benchmarking capability in Brazil," Rosa explains. Among the major challenges was the recurring processing of large volumes of data to provide banks with an innovative solution with high added value. "The platform is already being born 100% on this architecture with embedded analytics."

Vector represents iEVO Solutions' transition from developing BI projects to building full-scale products. The first version of the platform was completed in about three weeks by a small internal team, validating how fast the new structure could support product creation. "It's the product version of what we used to build manually," concludes Rosa. "Now it's faster, lighter, and ready to scale."

In the coming months, iEVO Solutions will continue refining the architecture and extending it across the group's brands, each leveraging the same core data structure. For the company, the rebuild became more than a technical shift; it marked the beginning of a product ecosystem designed to grow, integrate, and move faster than ever before.