Enterprise data governance

Govern Operational Data Like The Asset It Is

Every plant, system and spreadsheet describes the operation a little differently. Fuuz gives the enterprise one governed model for operational data: defined once, typed relationships, controlled access, audited changes and one API, so every app, report and AI agent works from the same truth.

The problem

Why This Is Hard Today

Typical situation

  • Each plant and system names parts, assets and states its own way
  • Shadow data lives in spreadsheets and point tools nobody governs
  • Access is managed system by system, and offboarding misses some of them
  • Analytics and AI projects stall on months of data cleanup

With Fuuz

  • One information model across sites, with typed relationships declared in the model
  • Data persisted in the platform's own store, not just passed through
  • Field-, tenant- and IP-level security, with site access approved at the enterprise
  • Contextualized data ready for analytics and AI, through one GraphQL API

What Fuuz provides

How It Works

One governed model

Define assets, products, orders, lots and their relationships once. Relationships are typed and deterministic, so every consumer follows the same connections instead of guessing joins.

The data platform

Pipelines you can follow

Data flows show where data comes from, how it is cleaned and contextualized, and where it goes. They are versioned and promoted through build, QA and production like any other change.

Quality at the source

Validation rules, calculated fields and triggers in the model catch bad data where it enters, not in next month's report.

Access at every level

Field-, tenant- and IP-level security and rules by user. Sites request access for new users, an enterprise admin approves, and disabling a user once removes access everywhere.

Governance and security

Every change audited

Who changed what and when, with before and after values, for data and for the applications that use it.

Harmonize across ERPs

Run one operating model across plants on different ERPs and acquired systems, mapping their records to the same definitions.

How to start

A Practical Path

1

Pick the data that matters

Start with the entities a decision depends on: assets, materials, orders, lots, quality results.

2

Model it once

Define the model and its relationships in Fuuz, then connect the systems that hold that data today.

3

Govern access and change

Set roles, policies and site access; move every change through build, QA and production.

4

Serve every consumer

Apps, reports, analytics platforms and AI agents use the same governed model through one API.

Questions

What Teams Ask

Do we have to replace our data warehouse or catalog?

No. Fuuz governs and contextualizes operational data at the source and serves it to the analytics platforms you already use through its API and connectors.

Where does the data live?

In the Fuuz data store, governed and queryable. The platform is open, so you can use your own database if you choose; Fuuz does not force that decision on you.

Can plants keep their own systems?

Yes. Connect what each plant runs today and map it to the enterprise model. Replace systems progressively, when it makes sense, not all at once.

How does this help AI?

Agents read contextualized data with typed relationships under the signed-in user's permissions, so answers come from governed data rather than guesses. See AI enablement.

Related

AI enablement

Put governed, contextualized data in front of your AI.

Learn more

Multi-site standardization

One operating model across every plant.

Learn more

The platform

Connect, persist, build and govern on one platform.

Learn more

Get started

Ready To Run Every Operation As One?

Tell us what you run today and what you need next. We will map how Fuuz fits, without ripping anything out.

Prefer to talk? Call 1-877-801-FUUZ (3889)