AI Use Cases
GenAI Accelerator
The increasing complexity of data landscapes requires more and more centralized data lake and DWH teams, risking a bottleneck in the company. At the same time, it is becoming more difficult for employees to identify the right data assets for their work. Data mesh solves these problems with a centralized approach to data management.
The increasing complexity of data landscapes requires more and more centralized data lake and DWH teams, risking a bottleneck in the company. At the same time, it is becoming more difficult for employees to identify the right data assets for their work. Data mesh solves these problems with a centralized approach to data management.
With datamMesh, responsibility for data assets is placed in the hands of individual specialist departments (domain ownership). This ensures high data quality and integrity, as responsibility lies with those who are most familiar with the specific requirements of the data assets.
The processed data can now be offered to other users as a product (data as a product). A self-serve data platform is provided for this purpose, which data product owners can use to create, adapt or delete their data products. Users can also access the desired data products quickly and efficiently via the self-serve data platform.
Federated governance also establishes uniform company-wide rules that define all the necessary standards to ensure interoperability between the individual data products.
Success with domain-driven design and data catalog.
Put your data assets in the hands of the most qualified people through domain-oriented data ownership.
Follow the data-as-a-product approach to guarantee that your data assets are visible and trustworthy for other users.
Federated governance gives data product owners the freedom to make their own decisions about their data domain and at the same time guarantees interoperability through global standards.
Self-service structures give data users and producers the tools they need to manage and use data assets.
Accelerate governance processes by automating standard processes.
Increase the quality and value of your data assets by effectively using metadata through a data catalog.
Our synvert Data Governance Procedure Model (sDGV) contains components that serve to establish federated governance and guarantee that you find the balance between decentralized and centralized governance.
Our many years of experience with data management and governance projects have shown us how important well thought-out change management is. We support your data product owners, users and producers in the transition to decentralized governance and ownership.
The effective use of metadata within a data catalog gives data users the information they need to find, understand and trust high quality data assets.
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