The state began to view data as a strategic resource, and the need arose to unify the tools and processes of data analytics. The KAU project is to provide analysts with a single secure place with modern tools and high-quality, consistent data. The goal is decision-making in public administration based on data, rather than impressions.
Why a unified analytics platform was created
Around 2016, it became fully apparent that the state was sitting on a valuable “asset”—data that had so far served mainly for the exercise of public authority. In parallel, analytical units were being set up in ministries, along with the need for shared infrastructure: a unified access point, shared tools, and sufficient performance in a secure environment. KAU was also meant to bring data assurance—high-quality, consolidated data in one place, support for anonymization and pseudonymization, and all that with a single integration instead of numerous inter-ministerial exchanges. Not everything has been fulfilled yet, especially the availability of the basic data infrastructure, but the vision of “data‑driven” administration remains.
“Kitchenette” for analysts: how the solution works
The platform is built on Microsoft Azure cloud services, which provide secure storage, computing power, and scaling. Data are brought in through integration and transformation tools into a Data Lake–type repository and into a three‑tier database in the “raw–cleansed–summarized” logic. A multilingual environment (e.g., SQL or Python) is used for processing, and tools such as Power BI or Tableau serve for quick visualizations. Simplicity is also important: a low/no‑code approach is preferred so that an analyst does not have to deal with installations and complex configuration.
The project authors liken it to a kitchenette: the infrastructure is the “appliances”, the data are the “ingredients”, and the analysts are the “chefs”. In practice, this means that everyone can work in the tools that suit them while using a shared, secure environment. Various formats and data sources from public authorities, municipalities, and other partners are supported. The platform is connected to the state’s public cloud and includes modules for pseudonymization so that sensitive data can be handled responsibly.
What’s next: rollout, training, and support
The project is formally heading into its final phase, after which a “release” for analytical units will follow. A series of presentations, technical workshops, and skills building is planned, from ETL through data modeling to dashboard creation. Analysts can use the central solution with their own data or—if they have the capacity—build their own infrastructure with methodological support from the team. The ambition is a standardized platform usable across public administration that will accelerate high‑quality analytics and bring decision-making closer to the data.
