Insights·Blog·EG306

Decision-Driven Insights

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.

Download the Executive Asset Talk with Data Tiles

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

How Latttice complements your existing data stack.

Latttice does not replace your existing platforms. It helps business and data teams turn trusted enterprise data into governed, reusable data products for the decisions that matter most.

Existing Technology

What It Typically Does

Where Latttice Adds Value

Data Catalog

Organizes metadata, definitions and governance context.

Turns governed metadata into executable data product rules and business-ready data products.

Data Warehouse

Stores and processes enterprise data.

Activates trusted enterprise data as reusable, governed data products for business teams and AI.

ETL / Pipeline Tools

Moves, transforms and prepares data.

Manages the business data product lifecycle beyond technical pipelines, including ownership, governance, reuse and consumption.

Semantic Layer

Defines consistent business meaning and metrics.

Embeds business semantics into governed data products that can be reused across decisions, analytics and AI.

AI Platforms

Runs models, agents and AI-assisted workflows.

Supplies trusted, governed, fit-for-purpose data products that AI systems can safely consume.

No rip and replace

Latttice works alongside your existing platforms, including Snowflake, Databricks, Microsoft Fabric, Collibra and other enterprise data investments. It helps activate trusted data for business use without forcing organizations to rebuild their technology landscape.

Where Latttice fits

Enterprise Data Platforms

Snowflake · Databricks · Fabric · Collibra · Other Sources

↓

Latttice

AI-powered Data Product Workbench

↓

Trusted Data Products

Governed · Reusable · Business-led · Fit for purpose

↓

Consumption

Business Decisions · Analytics · Applications · AI Agents

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.