Whitepaper

From Governed Data and AI to Trusted Enterprise Decisions

A reference architecture for connecting the Databricks Data Intelligence Platform with Board’s Contextual Decision Layer.

Databricks provides the governed data and AI foundation. Board adds the business context, planning logic, scenarios, workflows, and decision governance required to turn intelligence into coordinated action.

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Trusted data and intelligent models are only the beginning.

Enterprises have invested heavily in modern data platforms, governed data products, machine learning, and generative AI.

But trusted data and intelligent models do not, by themselves, produce trusted business decisions.

Enterprise decisions also depend on planning assumptions, business rules, financial logic, scenarios, ownership, approvals, operational constraints, and human judgment. These capabilities often remain distributed across spreadsheets, applications, and departmental processes.

This reference architecture explains how Board and Databricks work together to close the gap between enterprise intelligence and coordinated business action.

Why This Guide Matters

Enterprise AI is moving from analysis toward action.

The challenge is no longer only preparing, governing, and serving enterprise data and AI assets.

The challenge is activating those assets inside business planning and decision workflows that are:

Governed
Explainable
Scenario-based
Collaborative
Operationalized across the enterprise

Without clear architectural boundaries, organizations risk duplicating data, embedding planning logic in the wrong systems, and generating recommendations that cannot be trusted, approved, or executed at scale.

This guide shows how Databricks and Board connect through secure, governed interfaces to transform data products, predictions, and AI outputs into coordinated enterprise decisions.

Enterprise AI needs clear boundaries and connected decision architecture.

Databricks governs enterprise data and AI assets at scale.

Board activates governed data through planning and decision context.

Together, the platforms connect:

Enterprise data and operational systems
Governed data products and model outputs
Business semantics and planning logic
Scenario modeling and workflow
Decision governance and auditability
Business execution and measurable outcomes

The result is a continuous flow from governed data and AI to trusted plans, approved actions, and feedback that improves future decisions.

Featured Framework: From Governed Data to Trusted Decisions

Discover how Board and Databricks connect:

Enterprise Data and Operational Systems → Databricks Data Intelligence Platform → Board Contextual Decision Layer → Enterprise Planning and Decision Solutions → Business Execution and Outcomes

The guide illustrates how Databricks prepares and governs enterprise data, models, and AI outputs, while Board applies planning logic, scenarios, workflows, governance, and collaboration to make those assets actionable for business users.

From Governed Data and AI to Trusted Enterprise Decisions

How Board and Databricks close the gap between enterprise intelligence and coordinated business action.

What You’ll Learn

See how Databricks provides the governed data and AI foundation, while Board adds the contextual decision layer needed to plan, simulate, coordinate, and decide.

Learn why Databricks is best suited to predicting what is likely to happen, while Board supports planning, scenario modeling, collaboration, and decisions about what the business should do next.

Explore how governed model outputs, data products, and AI services can be activated through business semantics, planning models, rules, workflows, approvals, and reporting.

Understand how plans, decisions, annotations, outcomes, and new signals can flow back to Databricks to improve analytics, model performance, assumptions, and future planning cycles.

Review practical architecture principles for keeping enterprise data in Databricks, exposing trusted data products, maintaining deterministic planning logic, using open interfaces, and building for continuous planning.

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