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 CloudThe 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 (available in BigQuery and Looker), anyone on the team can ask questions in natural language and get instant answers—without SQL and without waiting for a dashboard.
Google’s data agents (for engineering and data science, available now) build pipelines, monitor data quality, and automate predictive models—making your platform increasingly self-maintaining.
Looker’s semantic layer defines a single source of truth for metrics and dimensions; according to Google, it improves the accuracy of AI responses by up to two-thirds. Without governed data, AI hallucinates.
The analytical agents we build on BigQuery and Looker are published directly to Gemini Enterprise , so your entire workforce works with live data.
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).
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 Vertex AI 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 Dataplex, 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 Dataplex, cost optimization, new AI and agent use cases, and managed support. The platform evolves with your business.
Use cases by industry
This is not theory—these are the real-world scenarios we implement for our clients:
BigQuery ML to predict demand by SKU and season. Reduction of stockouts and overstock using models trained on historical sales data.
Streaming analytics with Pub/Sub + Dataflow to detect suspicious transactions in milliseconds. Anomaly models with Vertex AI .
Unification of Google Ads, CRM, and web analytics data in BigQuery . Looker dashboards to view actual ROI by channel, campaign, and segment.
Analysis of fleet data, delivery times, and operating costs. Operational dashboards displaying real-time KPIs.
Why BigQuery and not another solution?
Serverless, no infrastructure. Pay-per-query. Scales to petabytes with no configuration. Built-in ML, vector search, and AI agents.
Requires cluster management. Manual scaling. Separate storage costs.
Expensive hardware, licenses, maintenance. Scaling in weeks. High fixed costs.
Technology stack we implement
Frequently Asked Questions
Google Cloud Premier Partner · 50+ active clients in Spain
Ready to make data-driven decisions?
Start with the free Data Maturity Assessment: we evaluate your data maturity and propose a concrete roadmap with an estimated ROI.
Start here