Data products your business
can actually trust
Most data products tell you what data means. Ataccama's tell you whether it can be trusted
and put in the hands of every user and AI agent that needs it.
One concept, many tables
You've catalogued your data, but concepts such as “Customer” still live in multiple tables, governed by multiple teams. Businesses think in concepts but systems store data in physical terms. That gap is where trust breaks.Businesses think in concepts.
Systems store data in tables.
Data products promised to close the gap between business and technical teams. But most
implementations stop at definition. A named concept, some metadata, an owner. That's not
enough for a team trying to decide which source to trust, or an AI agent that needs to act on it.
The gap
Business says “Customer”
A concept spanning dozens of systems, tables, views, and feeds, with no single governed, trusted representation.
Systems say 47 tables
Physical assets that nobody can evaluate at a glance for trust, ownership, or fitness for a given use case.
The consequence
A data product without trust doesn't solve the consumption problem — it just moves it. Without trust, conflicting sources persist and teams make high-stakes decisions on data nobody has verified. AI makes this worse. It doesn't hesitate, it scales, inheriting every governance gap silently and at speed. Governance work gets done but business value doesn't follow.
Business concepts,
not just technical assets
A data product in Ataccama is a business-meaningful entity — like “Customer”
or “Transaction” — governed, enriched with a real-time trust signal, and ready for
consumption wherever work happens.
MCP-based access for AI tools
Expose trusted data products directly inside MCP-enabled AI tools. No platform switch required.
What makes Ataccama
data products different?
Context-first data products
for people
Data is only useful when people understand it. Ataccama puts business context and trust at the centre of every data product so teams can instantly see whether data is trustworthy right now, not just technically valid.
Agentic data trust for AI
workflows
Ataccama exposes trusted data products as a context system for AI tools and agentic workflows via MCP Server, so AI outputs are based on consistent, governed data instead of fragmented or ambiguous inputs.
Operationalized data value
connected to real usage
Ataccama connects governed data products directly to the tools and workflows where decisions happen, turning governance from a documentation exercise into a driver of adoption and business outcomes.
Built for governance teams.
Valued by data leaders.
Data products solve a problem felt at every level of the data organization. From the steward
documenting a concept to the CDO accountable for enterprise-wide trust.
Data stewards
Define and govern business concepts once, across every physical system that holds that data
Keep business meaning intact from intent to implementation, so teams always work from a shared understanding
Get a single, unified trust signal across data governance and quality — no more switching between views
CDOs and data leaders
Enforce enterprise-wide consistency in how critical data is defined and governed, regardless of system sprawl
Get governance investments adopted beyond the catalog — into the analytics and AI workflows where work actually happens
Extend trusted data access to the entire organization, not just the teams with direct platform access
Trusted by data-driven enterprises
Ready to ship data products
your business can trust?
See how Ataccama data products bridge the gap between
governance and real-world data consumption — for your teams
and your AI.
Discover practical use cases
See how Ataccama ONE Data Quality can address your specific business needs.
Tailored for your industry
Learn how businesses in your industry are leveraging Ataccama for success.
5-time Leader, with the furthest vision
Ataccama positioned as a Leader in the 2026 Gartner® Magic Quadrant™
for Augmented Data Quality Solutions for 5th consecutive time.