Glossary

A Data Lake is a central, scalable data repository that stores large volumes of heterogeneous data such as measurements from building services systems, sensor data, operational logs, or metadata. This creates a comprehensive, loss‑free representation of all information relevant to building operations. In modern buildings and portfolios, the Data Lake forms the foundation for digital value creation: it enables the implementation of a digital twin, AI‑based analysis, and automated optimization.

In the building sector, a Data Lake is a key element of digitalization, as efficient, sustainable, and grid‑supportive operations today rely on a reliable and complete data foundation. Only when all relevant data are centrally available can automated analyses, predictive maintenance, energy optimization, and modern business models be implemented. With increasing regulatory requirements for monitoring and automated operation (e.g., EPBD, GEG), the Data Lake is becoming an indispensable foundation for modern building management.

aedifion provides a cloud‑based Data Lake that, as part of its platform, centrally consolidates all operational, structural, and metadata of a property. This includes data from technical buildigng equipment (TBE), measurements, documents, and metadata on systems and building structures. The platform semantically structures this data and, based on it, creates a digital twin of the building and the entire portfolio. Open interfaces enable other services such as, FM software or ESG platforms, to access the data efficiently. AI‑based functions such as automated optimization, predictive analysis, or intelligent control use the Data Lake as a data foundation to enhance the building’s efficiency, comfort, and grid serviceability. Thus, the Data Lake becomes an integral part of modern, interoperable building technology and the starting point for future‑proof, data‑driven building operation.