The organization’s analytics stack is built on Google Cloud, with BigQuery as the central data warehouse, with Pub/Sub, Datastream, and Cloud Run functions moving and transforming data in real time. On the SaaS side, IRIS Fleet integrates with platforms like Geotab and Streamax for telematics and video. The company manages APIs through Apigee, relies on Cloud Storage for large-scale data handling, and uses Vertex AI for machine learning use cases. Ortiz says, “Looker sits at the center of this ecosystem, bringing all these sources together and delivering governed, real-time insights directly to our customers.”

With Looker Embedded, Métrica Móvil built dashboards that are fully integrated into IRIS Fleet, giving customers visibility into their most critical indicators and providing instant feedback. One of the company’s most significant discoveries has been the ability to detect patterns in driver behavior that were previously invisible. “With Looker, we can correlate alerts such as speeding, harsh braking, or idling with time of day, route type, and even external factors like traffic or weather,” explains Ortiz. “This insight has allowed our customers to proactively coach drivers, reduce safety risks, and optimize operational costs.”

In addition to monitoring driver performance, dashboards built with Looker Embedded enable customers to track alerts from telematics and video devices and follow operational KPIs such as fuel consumption, route adherence, and service quality. Customers can now make better decisions in minutes, not days. “Our customers no longer depend on IT or manual reports. They have real-time insights at their fingertips,” says Ortiz. As a result, Métrica Móvil has fewer data-related support requests, freeing up resources for innovation.

With Looker inside IRIS Fleet, Métrica Móvil can also better support its business model of allowing for monetization per connected vehicle or asset. The solution pulls information from telematics devices and displays it in both the front end and the embedded Looker instance. In addition, Métrica Móvil can provide standardized dashboards for quick scaling as well as customized dashboards to meet the specific needs of large global companies.

By integrating Looker into its system, Métrica Móvil significantly accelerated its dashboard development, with development cycle times now at least 50% faster for creating dashboards compared to traditional methods. “With Looker Embedded, what once took us days to deliver can now be built in hours and delivered directly inside our products. This simplicity and speed were previously not feasible, and it has changed how quickly we can respond to customer needs,” says Ortiz.

Looker is also driving efficiencies by transforming how different teams at Métrica Móvil work. The data team is saving 40–60 hours per month on creating reports, focusing instead on innovation and higher-value analysis. Company executives can now access consolidated KPIs in real time, enabling faster, more-informed decisions and reducing the time required to answer business questions from 3–4 days to a few hours or minutes. With self-service dashboards, Métrica Móvil has avoided the need to hire two additional analysts. The company is also reducing infrastructure or licensing costs by about 5% by consolidating tools and enhancing its competitive differentiation in the marketplace.

Métrica Móvil is moving beyond dashboards, leveraging AI tools like Vertex AI and Gemini. Looking ahead, Métrica Móvil plans to implement Model Context Protocol and Looker’s Conversational Analytics API, allowing customers to ask questions in natural language, get real-time answers, and trigger actions directly from the platform. “Our vision is for customers not only to see what happened, but to have a conversation with their data and receive intelligent recommendations inside IRIS Fleet and our other products,” Ortiz says. “We believe the real opportunity is just beginning.”