Revolutionize your Data Management System with Data Mesh
Data Mesh is an approach to data management that empowers organizations to effectively leverage their data assets.
Understand Data Mesh
Your legacy data landscapes, however, might limit your agility with long development cycles, limited hardware scaling, runtime bottlenecks, high overall complexity and limited knowhow on data in business domains – while being tedious in maintaining and costly in operations.
By embracing the four key principles of Data Mesh, you can unlock the full potential of your internal data ecosystem.
An approach to data management that empowers organizations to effectively leverage their data assets
Data Mesh Journey
We plan, build and run your future data landscape – tailored to your needs.
- Understand your current data journey
- Define a clear vision
- Identify use cases and additional value
Data Mesh Assessment
- Understand your existing data architecture
- Understand your existing organizational structure and align it with the roles and responsibilities of Data Mesh
Data Mesh Design
- Design your future data architecture
- Align capabilities required by data mesh with existing data platform components
- Plan migration and onboard easily with our Advisory packages
- Adapt roles from centralized to decentralized teams
- Communicate effectively within your organization
Data Mesh Implementation
- Build necessary data mesh platform features
- Create an initial set of data products
- Validate the success
Benefits of Data Mesh
By embracing Data Mesh, you can overcome traditional challenges associated with centralized data management approaches. Unlock the full potential of your data assets and establish a strong foundation for data-driven success.
Going one step further
If you want to enhance the added-value through your data even further, think of a data mesh that spans also to other companies like your suppliers, partners, or customers. A so-called Dataspace Mesh or Mesh Dataspaces extends the notion of a data mesh beyond an enterprise environment to include new types of distributed, federated, and decentralized data systems.
Connecting distributed data spaces into a mesh offers you easy data exchange across companies, insights sharing, and collaboration while maintaining data sovereignty. Learn more about Dataspaces here.
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Tokyo – November 15, 2023. T-Systems was invited by Robot Revolution & Industrial IoT Initiative to present at "Data Spaces and Manufacturing Industry Digital Transformation” webinar, and provided valuable insights into next-generation network services offered by leading telecommunications operators. Notably, the session attracted 200+ participants, addressed the growing demand for services supporting small and medium-sized enterprises with limited IT skills in participating in data spaces. Emphasis was also placed on supporting Japanese companies onboard to global data collaboration while ensuring trust, identity, and autonomy.
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Gaia-X Summit: Shaping trustful digital ecosystems
Explore the journey of trust and collaboration at Gaia-X Summit 2023, where T-Systems showcased its commitment through Digital.ID, contributing to the vision of a secure and decentralized digital future.
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