Move from "dashboard fatigue" to trusted answers. Build a governed semantic layer that powers self-service reporting, embedded analytics and AI agents.
TO WHOM it matters
The "Trust Gap" in Modern Data Stacks. You have centralized your data in the cloud, yet business teams still struggle to trust the numbers. They face "dashboard fatigue," managing thousands of reports with conflicting metrics. The central data team is a bottleneck, and when business users bypass IT to use their own tools, governance collapses.
The Solution: A Unified, Semantic-First Platform. We implement a Universal Semantic Layer using Looker to define business metrics once, in code (LookML), and serve them everywhere.
We upgrade your analytics stack to Looker (Google Cloud core), integrating it directly with your existing IAM security and Google Cloud console for simplified management. This bridges the gap between raw data and business value, enabling true Data Collaboration (Level 3) where users ask questions in natural language and get trusted, governed answers.
reduction in data ingestion time for business intelligence reporting
faster analytics for decision-making and inventory insights (Otto.nl)
return on Ad Spend (ROAS) improvement by leveraging integrated analytics
We define your business logic (e.g., "What is Churn?") in a centralized modeling layer. This ensures that every dashboard, AI agent, and downstream application consumes the exact same metric definition, eliminating "data chaos"
We bring together the best of both worlds: the governance of Looker and the flexibility of Looker Studio. Users can build ad-hoc reports in the familiar Looker Studio interface while relying on trusted, governed data from the Looker semantic layer.
We activate Gemini in Looker, allowing non-technical users to "chat" with their data. Users can generate reports, visualizations, and calculated fields using natural language, instantly lowering the barrier to insight.
We architect the backend using BigQuery Editions (Standard, Enterprise, Enterprise Plus). This allows us to right-size your compute spend, utilizing autoscaling to handle reporting spikes without paying for idle capacity.
We've been modernizing data platforms since before cloud-native was the standard. What we've learned: successful data transformation isn't just about technology: It's about governance, change management, and building for your AI future. We bring engineering discipline to every stage of implementation.
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Proven on GCP Data Analytics
Extensive track record in deploying data platforms that enable business insights.
Accelerated Project Turnaround
We enable projects to be tackled in weeks instead of years, and dramatically increase the pace of rolling out to business users.
Full-Stack Data Expertise
We ensure the analytics platform integrates seamlessly with your secure Unified Data-to-AI Platform.
Leverage Gemini Capabilities
Direct expertise in deploying the latest Gemini in BigQuery features to boost team productivity.
Reach out, and let’s take your business to the next level.
