From Knowing Data Exists to Using It
Turning Governance into Business Value
The Data Product Workbench for Collibra
The Challenge Organizations Face
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.
Discovery Friction
Teams struggle to find data they can actually use for their specific business needs
Trust Barriers
Uncertainty about data reliability delays analytics and AI initiatives
Speed vs. Risk
Moving quickly feels impossible without increasing compliance and quality risks
What Governance Does Well Today
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.
Business Context
Precise definitions, business glossaries, and semantic meaning that everyone can understand
Clear Ownership
Accountability structures defining who is responsible for each data asset
Policy Framework
Classifications, controls, and compliance rules that protect the business
Lineage & Quality
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.
Where the Gap Appears
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.
Slow Time-to-Value
Data products take months to deliver, even when governance is already established
Activation Friction
Business users cannot easily access or activate the governed data they need
Stalled Innovation
AI and advanced analytics initiatives get blocked by uncertainty and perceived compliance risk
The missing piece is not more governance — it is operationalization.
Introducing the Data Product Workbench
Making Governance Actionable
Design
Create data products using governance context as the foundation
Assemble
Build products from governed assets with built-in trust and compliance
Activate
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.
Latttice: The Operationalization Layer
Latttice does not replace governance platforms like Collibra. Instead, it works alongside them to make governance actionable and deliver business value faster.
By bridging the gap between governance definitions and executable data products, Latttice transforms governance investments into tangible business outcomes.
How Latttice Works with Collibra
The integration creates a powerful, bidirectional data product exchange layer that connects governance to execution while maintaining trust and compliance throughout the entire lifecycle.
1
Collibra Defines Trust
Business meaning, ownership structures, policy frameworks, and quality standards
2
Latttice Uses Context
Leverages governance metadata to design, assemble, and activate compliant data products
3
Products Execute
Data products run in source systems with governance guardrails automatically applied
4
Visibility Returns
Product metadata, usage, and lineage flow back to Collibra for complete governance visibility
Two-Way Exchange: This creates a continuous feedback loop where governance informs product creation, and product execution enriches governance metadata, ensuring both systems remain aligned and current.
Why This Matters for the Business
3x
Faster Delivery
Trusted data reaches users in weeks instead of months
5x
Higher ROI
Governance investments deliver measurable business value
10x
AI Acceleration
Analytics and AI initiatives move forward with confidence
From Bottleneck to Enabler
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.
Reduced Risk
Automated compliance and quality checks at every step
Increased Agility
Self-service access within governed parameters
Better Outcomes
Data-driven decisions happen faster and with greater confidence
The Simple Takeaway
Collibra Governs Data
Establishing trust, meaning, ownership, and compliance frameworks
Latttice Operationalizes It
Turning governed data into usable, trusted data products
Together They Deliver Value
Closing the gap between governance and real business outcomes
The Data Product Workbench transforms governance from a compliance requirement into a competitive advantage.When trust meets operationalization, data organizations unlock their full potential, delivering faster, safer, and with measurably higher business impact.