The problem we solve
Most companies have data scattered across dozens of systems: CRM, ERP, spreadsheets, and legacy databases. Generating a reliable report takes days. Making a decision based on real data is almost impossible.
Siloed data, manual Excel reports, weeks to answer a business question, decisions based on intuition.
Centralized data in BigQuery , real-time dashboards in Looker, answers in seconds, data-driven decisions.
Data and AI are no longer two separate projects.
Google has transformed BigQuery into a comprehensive data-to-AI platform—what it calls the Agentic Data Cloud, unveiled in April 2026. The same data that powers your dashboards also powers your AI agents. That is why building a robust data platform is the first step in any AI strategy.
With Conversational Analytics in BigQuery and Looker, anyone on the team can ask questions in natural language and get immediate answers—without SQL or waiting for a dashboard. It can also be integrated into your own applications.
Google's Data Engineering Agent and Data Science Agent, now generally available, build pipelines, monitor data quality, and automate predictive models. The platform requires increasingly less manual maintenance.
The semantic layer in Looker and Knowledge Catalog (formerly Dataplex) defines a single version of each metric and provides context to the AI. According to Google, the semantic layer reduces response errors by up to two-thirds. Without governed data, AI makes mistakes with great confidence.
The analytical agents we build on BigQuery and Looker are deployed in Gemini Enterprise , and Deep Research can reason over BigQuery alongside your documents. The entire team works with live data from the same interface.
Discover Gemini Enterprise →Our 5-pillar framework
We don’t sell you standalone tools—we guide you through a complete data journey using a proven framework:
We define what data you need, where it is located, and how it should flow. We create a clear roadmap: what to migrate first, which metrics matter, and how to measure ROI.
We implement BigQuery as your central data warehouse: serverless, with no infrastructure to manage, and capable of querying petabytes in seconds. We connect all your data sources using automated pipelines (Dataflow, Pub/Sub, dbt, or Dataform).
Interactive dashboards that update in real time. Self-service reports allowing each department to access its metrics without relying on IT. Automated alerts when something deviates from the norm.
Predictive models using BigQuery ML and Agent Platform directly on your data warehouse, plus conversational analytics that let you query your data using natural language. Demand forecasting, anomaly detection, and customer segmentation—without the need for in-house data scientists.
Change management, team training, data governance and cataloging with Knowledge Catalog, and managed support to ensure the platform evolves with your business.
How we get started: three ways to work with us
No endless projects or licenses you don't need. We start small, demonstrate value, and scale:
We audit your data sources, assess your analytics maturity, and deliver a prioritized roadmap with estimated ROI per use case.
BigQuery as the central warehouse, automated pipelines with Dataflow, and your first Looker dashboards in production. Dedicated team—data architect, engineers, and PM—and training included.
Governance with Knowledge Catalog, cost optimization, new AI and agent use cases, and managed support. The platform evolves with your business.
Projects and use cases by sector
Two real-world projects and the scenarios most frequently requested by the sectors we work with.
Sales, production, and quality unified in BigQuery , modeled with dbt, and visualized in Looker Studio Pro . A single version of the data for the steering committee.
An agent built on Agent Platform translates business questions into DAX queries against existing Power BI models—without migrating reports.
Production and ERP data in BigQuery , anomaly detection with BigQuery ML, and automatic alerts when an indicator deviates.
GA4, CRM, and advertising data in BigQuery to measure true attribution by channel and anticipate subscriber churn.
You don't have to throw anything away.
BigQuery can serve as the database for your current Power BI reports, and we can set up an AI agent to answer questions about them. Switching to Looker is an option, not a requirement; we decide on that with you based on cost and actual usage.
Why BigQuery and not another solution?
Serverless and pay-as-you-go. Native integration of AI and agents, direct connection to Gemini Enterprise and Workspace, and data querying on AWS or Azure without moving the data.
Robust, multi-cloud platforms. They make sense if you are already using them; the AI and agent layer is implemented and billed separately.
Expensive hardware, licenses, maintenance. Scaling in weeks. High fixed costs.
Technology stack we implement
Frequently Asked Questions
Google Cloud Premier Partner · 50+ clients in Spain
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Google Cloud Premier Partner in Spain, 100% focused on the Google ecosystem.
