Turn Oracle Fusion Data into Trusted, Decision-Ready Insight.

Orbit Data Models provide a governed, analytics-ready foundation for Oracle Fusion reporting, dashboards, and AI. By transforming raw source data into standardized business definitions, reusable datasets, and consistent KPIs, your teams can move faster, reduce reporting confusion, and make decisions with confidence.

A Trusted, Scalable Foundation for Oracle Fusion Reporting, Analytics, and AI.

Consistent Metrics

Create a single source of truth with standardized KPI definitions, shared business logic, and aligned calculations across reports and dashboards. This helps eliminate conflicting numbers, reduces manual reconciliation, and gives leadership greater confidence in every decision.

Analytics-Ready Data

Transform complex Oracle Fusion source data into clean, structured, and business-friendly models that are ready for reporting, self-service analytics, and advanced use cases. Analysts and business users can spend less time preparing data and more time uncovering insights that drive action.

Governed and Documented

Build trust in your data with clearly defined models, embedded quality controls, documented business rules, and end-to-end lineage. Users can easily understand where the data comes from, how it is transformed, and which metrics they can rely on with confidence.

Built to Scale

Support enterprise growth with a modular and extensible data foundation designed to evolve with your business. Whether you are adding new business units, regions, subject areas, or AI initiatives, the model can scale without creating unnecessary complexity or inconsistency.

How Oracle Fusion Data Models Are Structured

A layered approach designed for clarity, trust, and scale.

Our Fusion data models follow a simple, proven architecture that is easy to understand, maintain, and extend:

Bronze (Raw / Staged)

Source data is preserved with minimal transformation to maintain traceability and auditability.

Silver (Cleaned / Conformed)

Data is standardized, deduplicated, type-cast, and aligned through unified IDs and conformed dimensions.

Gold (Business-Ready)

Facts and canonical dimensions are organized for consistent KPI reporting, analytics, and decision-making.

Why this matters

Business users can move quickly with Gold models, analysts can explore nuance in Silver, and data teams can always trace results back to Bronze when validation is required.

End-to-End Data Lineage: Trace every metric back to its source.

Fusion data models include end-to-end lineage, allowing teams to follow any metric or field from the Gold business layer through Silver transformations back to the original Bronze source systems. That visibility improves trust, speeds up troubleshooting, and makes change management far easier across reports and dashboards.

Data Quality and Freshness: Reliable reporting starts with reliable data.

Fusion data models are continuously monitored for row-count anomalies, null and uniqueness issues, referential integrity, schema drift, and business-rule violations. This helps your teams trust the numbers, reduce reporting errors, and resolve issues before they affect decision-making.

Deployment and Warehouse Support: Run analytics where your data lives.

Orbit Analytics supports both cloud and on-premises warehouse environments, giving you the flexibility to align with your existing architecture and governance requirements. Supported cloud platforms include Oracle Autonomous Data Warehouse, Databricks, Snowflake, Amazon Redshift, and Microsoft Fabric, with secure connectivity options for on-premises deployments as well.

AI-Ready Fusion Data Models: Build AI on data you can trust.

AI initiatives depend on clean, well-defined, point-in-time accurate data. Orbit Fusion Data Models provide stable keys, trusted business logic, and quality signals that help teams build more reliable forecasts, intelligent applications, and copilots without introducing data leakage or metric drift