We guide you through the full data transformation journey: from initial audit and architecture design to implementation, governance, and AI readiness. Every project has a clearly defined goal, measurable outcomes, and a realistic timeline.
We design and implement data and BI solutions built on automation and repeatability. Standardized pipelines significantly speed up onboarding, simplify development, and reduce production errors.
We design data models optimized for both performance and clarity, from Data Vault and dimensional models to hybrid architectures. Every model comes with documentation, tests, and a clear historization strategy.
Data Vault has been one of our core specialties since 2013. We design, automate, and operate Data Vault architectures in Snowflake and on-premise environments, selecting the right tools for each project’s specific needs.
We assess your architecture, identify bottlenecks, and design a target state together with a concrete migration plan. The outcome is not just a PowerPoint presentation, but a clearly defined, step-by-step approach that can be executed.
We migrate data platforms with a strong focus on business continuity and risk minimization. Parallel runs, automated testing, and continuous validation ensure that the transition does not disrupt your reporting or critical operational processes.
We implement monitoring for data pipelines and data quality that detects issues before your users do. This includes automated anomaly detection, alerting, and root cause analysis using tools such as Monte Carlo or BiG EVAL.
We implement AI use cases connected to your real data, such as RAG over internal documentation, AI agents for data operations, or copilots for analysts. Every use case is validated for context quality and output accuracy.
AI is only as good as the context it receives. We build a governed context layer that includes a business glossary, verified metric definitions, and curated metadata, so your AI responds based on facts rather than assumptions.
We establish AI governance rules, including who can access which data, how model outputs are audited, and how to ensure compliance with the EU AI Act. The result is a working framework implemented in Dawiso and other tools.
We help you clarify where you are today and where you need to go. The outcome is a data strategy with a concrete roadmap, priorities, and a business case for individual initiatives, not a lengthy document with no real impact.
We establish governance that works in practice, with clear data ownership, a business glossary linked to technical metadata, and processes that teams follow. The key is to change the way your organization works with data.
We define data quality rules, automate controls, and connect the results with accountable owners. The result is a meaningful shift from reactive problem solving to proactive quality management with clear SLAs.
We systematically design and implement functional data warehouse (DWH) enhancements for Komerční banka. Beyond standard BI services, we've developed a new information management strategy for the Global Competence Centre unit. Additionaly, we provide Komerční banka with our Dawiso platform, enabling the management of metadata from over 170,000 DWH tables, hundreds of reports, and thousands of terms across various dictionaries—all in one centralised location.
As a trusted long-term partner in strategic information management planning, we’ve supported Kooperativa in setting up effective BI development processes and, more recently, in implementing a new data portal. Powered by our proprietary Dawiso platform, this portal serves as a central hub for all data-related information.
At Stora Enso, we were entrusted with implementing and managing WhereScape to ensure seamless integration within the complex environment of a large multinational company. We established best practices, designed the structure and functionality of the data warehouse, and have continuously supported its long-term development through necessary updates and ongoing system improvements.
Modern data platforms take over routine work and give people the space to focus on what truly creates value. Talk to our team to learn how to bring this approach into your organization.
