Cinchy Data Mesh

Data mesh shifts the responsibility of data access from the data or technology teams, to the business teams.

Data mesh architecture empowers business teams to perform cross-domain data analysis independently. Teams no longer need to rely on data and technology teams who are overburdened and unable to keep up with demand to gain expertise in every business domain.

This approach often results in faster insights, increased productivity, and improved business outcomes.

Domain ownership

Mandates domain teams to take responsibility for their data, allowing them to own both analytical and operational data.

Data as a product

Treats domain data as public APIs, and domain teams are responsible for providing high-quality data to satisfy the needs of other domains.

Self-serve data infrastructure

A dedicated team provides domain-agnostic functionality, tools, and systems to enable domain teams to seamlessly consume and create data products.

Federated data governance

Promotes standardization and interoperability of all data products through the whole data mesh, creating a data ecosystem with adherence to the organizational rules and industry regulations.

Data products

Data is organized into domains as the governance body and can be structured by how the business unit uses and needs the data rather than how an application dictates.

Data ownership

Data and domains can be owned by different business units so domain experts can own and maintain their own data.

Data-layer access controls

Who has access to what data can be controlled at every layer by the data owners.

Data change workflow

Data owners can enable change approvals and track those changes throughout the process.

Data is organized by domains and control is directly on the data. It’s truly data access at your fingertips, with full governance and controls at the data, not the application level.

In an altruistic vision of the future with a dataware model, whether you have 500 applications or 5 million applications the number of silos and integrations remain at 0. The reality is that you can get there iteratively project by project by replacing data silos with a mesh-based approach to the structure and access of the data.

Data Mesh

What is data mesh?

Data mesh shifts the responsibility of data access from the data or technology teams, to the business teams.

Data Mesh Principles