Sold by: Data Reply UK
The Data Mesh Assessment Framework is a short consulting engagement developed by Data Reply to support organizations in their journey toward Modern Data Platform in distributed data environment. It helps customers with democratizing data access, improving data quality and maturity, resulting in improved business agility and time-to-market
Sold by: Data Reply UK
Overview
Why Data Mesh?
In recent years, data lakes have been seen as the natural response to challenges that organizations were facing, such as data silos, over-increasing data volumes, increasing complexity of data sources, and many others. However, experience has shown that data lakes can have common failure modes at scale.
Organizations often gather vast amounts of data, but often of poor quality and not well documented. The presumed democratization of data is often an illusion, as users have to rely on a central team and jump through several hoops to access data. Users are often constrained to use whatever technological stack has been chosen for the central platform, and that’s often not the best solution.
The Data Reply Data Mesh Asessment Framework allows to qualify what modern data architecture is the most suitable for organizations with distributed data. A pilot designed with a Target Operational Model in mind that includes technical, people, process and cultural aspects of organization can help to bring it to life , prove value quickly
Highlights
- Enables data democratization with SME data ownership improving data access and quality
- Centralized Security, Governance and Operations with improved view and control who can access data
- Accurate Cost Attributions to various team based on usage
Details
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Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Data Mesh Assessment Approach and Pilot
- Phase 1 - Qualification: establish whether data mesh is the right approach for the organization- a workshop addressing organizational Data /Analytics Vision and Strategy, existing landscape, challenges, pain points , current gaps in capabilities etc (free of charge )
- Phase 2 - Solution Design: outline the technical process and cultural aspects required for a Data Mesh approach.
- Phase 3 - POC: show the results on a smaller scale.
- Phase 4 - Full Adoption: evolve the whole data platform to the data mesh architecture to start reaping the benefits.
Deliverables
- Target Data Mesh solution architecture.
- Recommendations document (processes, tools, working best practices, evolution steps including an initial use case ‘thin slice POC’ to prove value and an implementation roadmap aligned with client’s business goals.
For further information and to get a private offer please contact: a.main@reply.com