Data Mesh – an Innovative Data Organization System for Distributed Project Teams

The article presents Data Mesh as an innovative system of data organization designed to enhance the efficiency of distributed project teams operating in a dynamic digital environment. It highlights the limitations of centralized data organization systems, such as Data Warehouse and Data Lake, which tend to lose adaptability and scalability within multi-domain structures. The purpose of this research is to provide a scientific rationale for the principles of Data Mesh and to determine its potential.

Data Mesh is built on four core pillars such as domain-oriented data ownership, data as a product, a self-serve data platform, and federated governance. The Data Mesh framework enables the formalization of interactions through data contracts, the integration of observability mechanisms, lineage tracking, and automation tools. Its application is demonstrated through the case of a logistics company, where domain teams create and maintain their own data products, while consistency is ensured through standards and centralized policies.

The findings confirm that Data Mesh establishes a foundation for building resilient, scalable, and flexible data organization systems that combine domain autonomy with global  coordination.  This creates favorable conditions for increased productivity, transparency, and decision-making speed in distributed environments, while also opening new avenues for further research in the areas of data quality management and the optimization of project processes in distributed IT teams.