🔦 Fusion Data Intelligence Feature Spotlight

Posted on By Adrian Ward

Prebuilt KPIs & Extensible Semantic Model

With Fusion Data Intelligence (FDI) — soon to be renamed as Oracle aligns its AI & Data branding — one of the most powerful (and sometimes underused) capabilities remains:

Prebuilt KPIs delivered on top of an extensible semantic layer running on Autonomous Data Warehouse.

🔹 What Makes FDI Different?

Unlike traditional BI implementations where you build everything from scratch, FDI provides:

  • Prebuilt subject areas aligned to Fusion Applications
  • Hundreds of curated KPIs
  • Predefined conformed dimensions
  • Enterprise-ready data pipelines
  • Embedded AI-driven insights

All deployed on Oracle Autonomous Data Warehouse.

This dramatically reduces implementation time compared to custom OAS/OAC builds.

🔹 The Extensible Semantic Model

Where FDI becomes especially interesting for experienced Oracle Analytics professionals is extensibility.

You can:

  • Add custom measures
  • Extend dimensions
  • Introduce additional fact tables
  • Blend external data sources
  • Apply row-level security logic
  • Create additional subject areas

All while retaining Oracle-delivered updates.

This is crucial for organisations that:

  • Have industry-specific KPIs
  • Require additional operational data
  • Need regulatory or region-specific reporting
  • Want to integrate non-Fusion systems

🔹 Performance & Architecture Considerations

FDI runs on Autonomous Data Warehouse, which means:

  • Query performance benefits from columnar storage
  • Automatic indexing & optimisation
  • Partitioning strategies managed automatically
  • Elastic scaling for month-end reporting

For analytics teams, this means fewer DBA dependencies and improved concurrency for executive dashboards.

🔹 AI & Insight Integration

FDI also includes:

  • Embedded predictive capabilities
  • Anomaly detection
  • Trend identification
  • Narrative insights in dashboards

As Oracle pushes further into AI-native analytics, expect FDI’s AI components to become more tightly integrated with Oracle Analytics Cloud capabilities.

🔹 What to Watch

With the upcoming rebrand, we can likely expect:

  • Closer alignment with Oracle’s AI Data Platform messaging
  • Expanded AI-driven KPI recommendations
  • Stronger integration between FDI and OAC
  • Continued subject area expansion

For customers running Fusion Applications, FDI (under its new name) will likely remain Oracle’s strategic analytics layer.

Why This Matters for OAC & OAS Professionals

For consultants and architects:

  • FDI reduces custom RPD development
  • ADW underpins performance strategy
  • Extensions still require strong SQL & modelling skills
  • Governance remains critical (especially with custom objects)

If you’re coming from OAS, think of FDI as:

A prebuilt, cloud-native warehouse + semantic model + dashboards — with room to extend.

Fusion