What Is the Latttice Data Product Workbench?

Latttice is the governed Data Product Workbench that helps organizations create, govern, execute and publish trusted data products for analytics, AI agents and operational decisions.

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Executive summary

Most organizations already have a data platform, a catalog and an analytics stack. What they lack is a governed environment where business teams can define, build and publish trusted data products that are fit for analytics, AI and operational decisions.

The Latttice Data Product Workbench is that environment. It combines business intent, metadata, policies, source data and business logic into a single governed lifecycle — without code, and without replacing the platforms already in place.

Why it matters

Trusted data does not appear by accident. Without a workbench, business teams either wait in queues for engineering work or assemble shadow analytics that no one can govern. Either way, decisions get made on data no one fully trusts.

A Data Product Workbench makes the production of trusted data a first-class business capability — repeatable, governed and reusable across BI, APIs, applications and AI agents.

What leaders should understand

A workbench, not a platform replacement

Latttice sits above existing data platforms and activates them. Your investment in Snowflake, Databricks, Microsoft Fabric or Collibra stays in place.

Business-led, without code

Business teams define and govern data products directly, with engineering involved where it adds value, not as a bottleneck for every change.

Governed at every step

Policies, semantics and lineage travel with the product through its lifecycle — not as paperwork on the side.

Reusable outputs

The same trusted data product serves BI, APIs, applications and AI agents, instead of being rebuilt for each consumer.

Positioning

The Governed Data Product Workbench.

Latttice is the governed Data Product Workbench that helps organizations create, govern, execute and publish trusted data products for analytics, AI agents and operational decisions.

It does not replace Snowflake, Databricks, Microsoft Fabric, Collibra or your existing cloud data platforms. It activates those investments by turning governed business intent, metadata, policies, source data and business logic into reusable, trusted data products.

The workflow

What Latttice actually does.

A single, governed lifecycle from business intent to trusted output — reusable across BI, APIs, applications and AI agents.

Step 01
Business intent
Step 02
Define data product
Step 03
Connect data sources
Step 04
Apply semantics and policies
Step 05
Execute logic
Step 06
Publish trusted output
Step 07
Consume through BI, APIs, applications and AI agents

Clear positioning

What Latttice is — and is not.

Latttice does not replace Snowflake, Databricks, Microsoft Fabric or Collibra. It activates those investments by turning governed business intent, metadata, policies, source data and business logic into reusable, trusted data products.

Latttice is not

a data catalog

What Latttice is

Latttice turns governance into executable product rules.

Latttice is not

a data warehouse

What Latttice is

Latttice sits above existing data platforms and activates them.

Latttice is not

an ETL tool

What Latttice is

Latttice manages the business data product lifecycle, not just pipelines.

Latttice is not

a semantic layer

What Latttice is

Latttice uses semantics as part of a governed data product lifecycle.

Latttice is not

an AI platform

What Latttice is

Latttice supplies the trusted data products that AI systems need.

How it fits into the Decision-Driven Enterprise

The Decision-Driven Enterprise depends on trusted data products reaching the people and AI systems that make decisions. The Workbench is where those data products are designed, governed and published — making it the operating engine of the methodology.