Google Looker is the right platform for companies that want more than isolated reports. With centrally defined metrics, a semantic layer based on LookML, and direct connectivity to data platforms like BigQuery, Looker creates the foundation for scalable, consistent, and trustworthy analytics. Instead of copying data, Looker works directly on the database – ensuring up-to-date data, clear governance, and controlled self-service.
As a consulting and implementation partner, we help companies integrate Looker into their data landscape in a technically sound and functionally meaningful way. From data modeling and dashboarding to embedded analytics and Google Cloud architecture, we create analytics setups that function long-term and reliably support data-driven decisions.
Together, we define which KPIs are crucial for decision-making, which data sources need to be connected, and how the Semantic Layer should be structured.
We model your Semantic Layer in LookML. With clean metrics, reusable dimensions, and business logic that applies to all departments.
We build high-performance, CI-compliant Looker dashboards and reports that business departments can quickly grasp and confidently use.
With Embedded Analytics, we create access to key figures and analyses exactly where users work. This increases relevance, usage, and acceptance.
We structure your Looker environment with clear authorization concepts, folder structures, and row-level access.
We support the rollout and continuously develop your Looker environment together with you.
We are not just an implementation partner who sets things up and then disappears. From the outset, we focus on business value and stay involved until your platform is truly operational.
We think strategically, but we don't get stuck in lengthy conceptual phases. Instead, we work iteratively and deliver robust results early on, which provide a solid foundation for further development.
We bring experience from numerous data, BI, and platform projects and know what's important when implementing modern analytics solutions. This means we don't just set up Looker technically, but ensure that the model, governance, and usage within your company are aligned.
From strategic alignment to data platform and modeling, all the way to the final analytics solution, we provide comprehensive support for Looker projects. This ensures that it's not an isolated BI project, but a setup that fits your data landscape and provides long-term value.
We combine Looker with expertise in data platforms, BigQuery, and modern cloud architecture.
Our goal is not to create dependencies. We document, explain, and empower your teams so that your organization can securely use and further develop the platform long-term.
With over 650 successful data and AI projects, we have the experience and expertise to support you with your endeavor.
We have over 55 certified Data Experts who continuously upskill.
We employ Data Engineers, Data Analysts, and AI Engineers, allowing us to support projects throughout the entire data journey.
We clarify goals, scope, and key stakeholders, and define a pilot use case.
We connect initial source systems, build a clean data model, and develop a first dashboard.
We expand reporting, train your teams, and establish governance rules so that departments can work securely with Power BI.
If desired, we will continue to support you with new use cases, optimizations, and advanced analytics.
We build and operate modern data platforms on Google Cloud – with BigQuery at its core, Dataform for clean data transformations, and Looker as the analysis and presentation layer. This creates an end-to-end, scalable architecture instead of another tool silo.
Looker Studio is a free visualization tool for simple, individual dashboards. Looker is an enterprise platform with a central data model, governance layer, granular permissions, and API access. Anyone who wants to build reliable, enterprise-wide BI needs Looker.
Yes. Many companies implement Looker incrementally, initially for specific departments or use cases, while other tools run in parallel. We help you define a sensible migration path.
Looker is particularly useful for companies that already use Google Cloud or BigQuery, have multiple teams with different reporting requirements, or suffer from inconsistent metrics and conflicting figures. The platform is primarily suitable for medium to large organizations and can scale up to complex enterprise environments.
Yes. Looker is often the entry point to a broader GCP setup. We also support you in setting up BigQuery, Dataform, and a complete Google Cloud Data Platform.
Case Study on independent and country-specific controlling with Tableau.
All key competencies and technologies for successful BI & Data Analytics initiatives in one whitepaper!
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