Latttice operationalizes Collibra — bridging governance and execution so business teams turn trusted metadata into executable, business-ready data products.

Most enterprises have invested heavily in data governance platforms like Collibra to define what data means, establish ownership, and set usage policies. These foundational investments create the trust layer essential for enterprise data management.
Yet despite these significant governance investments, business teams still face critical obstacles that slow value creation and limit the return on their data infrastructure.
Teams struggle to find data they can actually use for their specific business needs.
Uncertainty about data reliability delays analytics and AI initiatives.
Moving quickly feels impossible without increasing compliance and quality risks.
Platforms like Collibra excel at establishing trust and creating the authoritative foundation for enterprise data management. They serve as the central system of record for defining and maintaining data governance standards across the organization.
Precise definitions, business glossaries, and semantic meaning that everyone can understand.
Accountability structures defining who is responsible for each data asset.
Classifications, controls, and compliance rules that protect the business.
Tracking data origins, transformations, and quality expectations throughout the lifecycle.
The Foundation is Strong: Collibra acts as the authoritative system of record for trusted data, providing the governance layer that enterprise teams depend on.
Even with robust governance frameworks in place, organizations encounter a persistent value delivery gap. The governance foundation exists, but translating that governance into business outcomes remains frustratingly slow.
This is not a governance failure, it is an operationalization challenge.
Data products take months to deliver, even when governance is already established.
Business users cannot easily access or activate the governed data they need.
AI and advanced analytics initiatives get blocked by uncertainty and perceived compliance risk.
The missing piece is not more governance — it is operationalization.
Create data products using governance context as the foundation.
Build products from governed assets with built-in trust and compliance.
Deploy trusted data products to analytics, AI, and business applications.
A Data Product Workbench focuses on one critical objective: turning governed data into usable, trusted data products. This is precisely the role that Latttice plays in the modern data architecture.
The integration creates a powerful, bidirectional data product exchange layer that connects governance to execution while maintaining trust and compliance throughout the entire lifecycle.
Business meaning, ownership structures, policy frameworks, and quality standards.
Leverages governance metadata to design, assemble, and activate compliant data products.
Data products run in source systems with governance guardrails automatically applied.
Product metadata, usage, and lineage flow back to Collibra for complete governance visibility.
Two-Way Exchange: A continuous feedback loop where governance informs product creation, and product execution enriches governance metadata — keeping both systems aligned and current.
Latttice does not replace governance platforms like Collibra. It works alongside them to make governance actionable and deliver business value faster.


Drag governed columns, business terms and quality rules straight from Collibra onto the Latttice canvas. Compose them into a Data Product Input Port, shape and join the data with zero code, and publish a Data Product Output Port that analytics teams, AI models and executive dashboards can trust on day one.
Trusted data reaches users in weeks instead of months.
Governance investments deliver measurable business value.
Analytics and AI initiatives move forward with confidence.
When governance and operationalization work together, the entire data organization transforms. Compliance becomes automated rather than manual. Risk decreases as guardrails are built into every data product. Speed increases because teams can self-serve within governed boundaries.
Most importantly, governance becomes an enabler of innovation rather than a perceived obstacle. Business teams gain the freedom to move quickly while data teams maintain control and visibility.
Automated compliance and quality checks at every step.
Self-service access within governed parameters.
Data-driven decisions happen faster and with greater confidence.
Read the long-form briefing from Data Tiles on how Collibra and Latttice combine governance and activation — why documented data products aren't executable ones, how the Workbench is built close to the point of decision, and what it means for enterprises operationalizing their governance investment.
Read the full article on Data Tiles
Latttice extends your Collibra investment by operationalizing governance into executable, business-ready data products.