Data & AI product management
Scale data & AI products with clarity and speed
Manage your data and AI products in a unified, structured portfolio: Plan, document, assign owners, and track usage across the data lifecycle.
From assets to products with purpose
Give visibility to your work
Reduce repeated requests
Build trust with business teams
Showcase impact on the business
Data & AI products catalog
Centralize all your data and AI products in one searchable, domain-driven catalog.
With DataGalaxy, each product includes full context such as documentation, ownership, glossary links, and certification. Organize everything by domain to make discovery easy for both technical and business users.
Role clarity for better governance
Eliminate ambiguity and foster accountability across teams.
Assign product owners, stewards, and subject matter experts to each data product. Visual role management helps align cross-functional teams while supporting domain-based governance at scale.
Publish your products in the marketplace
Connect delivery with consumption & build a trusted ecosystem of reusable data.
Publish your data products in a business-friendly marketplace complete with descriptions, owners, status, and usage context. Allow users to explore by need, not by tool, and request access or clarification directly within the platform.
Trusted output ports
Allow your teams to explore the dashboards, reports, and APIs linked to each data product.
Integrated data policies
Manage and enforce integrated policies to ensure consistent governance across data and processes.
Your products are ready. Here’s how users find them.
Discover the Marketplace experienceEverything you need to get started
Unified catalog of products
Ownership & roles
Lifecycle tracking
Domain-based organization
Marketplace publishing
80%
of data efforts fail without reuse & visibility
62%
of execs demand measurable data investments
60%
of AI value is lost without structured product models
FAQ
- What is a data product in this context?
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A data product is a reusable data asset — like a dataset, dashboard, or model — packaged with context, ownership, and service-level expectations.
- How does DataGalaxy help manage data products?
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You can define, own, govern, and evolve each data product across its lifecycle — with clear responsibilities, lineage, and performance tracking
- Can I connect data products to business domains or KPIs?
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Yes. Every product can be linked to business objectives, glossary terms, and value indicators — so you can align delivery with impact
- What is a data contract and why does it matter?
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A data contract is a formal agreement between data producers and data consumers that defines what data is shared, how it’s structured, and what quality or usage expectations apply.
It helps ensure that data pipelines don’t break when upstream systems change, and that all teams know what they can rely on — especially in data mesh, AI, and microservice architectures.
Data contracts typically include schema definitions, update policies, ownership, SLAs, and validation rules. They bring accountability, clarity, and stability to data collaboration across teams.
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Manage data assets from C-level strategy to AI adoption
