Converged Overview

One database. Every data model. On Exadata.
🛡 Data stays in-region · Autonomous AI Database

One Converged Database. On Exadata.

This entire application runs on a single Oracle Autonomous AI Database. Relational, JSON documents, AI vectors, text, spatial, graph, in-database machine learning and natural-language Select AI — all on the same data, in one engine, in-region. No warehouse + vector DB + document store + geo service + graph DB to stitch together, secure separately, and copy data between.

Live data-model inventory — all in one MAXIS schema

Every tile below is a different data model, queried live from the same database on this page.

Risk band distribution ML

Scored by in-database Random Forest

Churn rate by contract type SQL

Month-to-month is the churn engine

Churn by ARPU band SQL

Where the high-value risk sits

Churn by tenure cohort SQL

Early-life subscribers churn most

Revenue & churn by segment SQL

Enterprise is the growth engine
SegmentAccount typeSubscribersMonthly revenueAvg ARPUChurn

Subscribers & churn across Malaysia SPATIAL

Bubble size = subscribers, colour = churn rate. Positions from SDO_GEOMETRY points.

By state SQL

StateRegionSubsChurnRevenue

Network sites by distance from KL core SPATIAL

Geodesic distance via SDO_GEOM.SDO_DISTANCE
SiteStateTypeKm from KL

High-risk subscribers — recommended retention actions ML

Click a row for the full case file. Contact fields are redaction-protected.
SubscriberChurnRiskSegmentStateRecommended actionApproval

Subscriber Explorer SQL

Browse the relational base table. Filter by state; click a row to open the JSON 360 document.
SubscriberSegmentAccountStateContractMobileARPUTenureChurned

Model leaderboard ML

5 algorithms trained in-database with Oracle Machine Learning — no data extracted to an external ML platform
AlgorithmAccuracyPrecisionRecallF1Production

Knowledge base TEXT VECTOR

Policy documents chunked and stored in-database, ready for vector + text retrieval
DocumentSourcePassages

Sovereign Policy Copilot RAG

Retrieval-augmented answers grounded in the in-database documents — the documents never leave Oracle

Ask the Data SELECT AI

Natural language to SQL with Oracle Select AI. Only the schema description is sent to the model — never subscriber data.
🛡 Only the schema description was sent to the model — no subscriber data left the database. Oracle generated this SQL, which runs in-region:

Subscriber 360 document JSON

The same subscriber as a native JSON document. Relational and document models over one dataset — no separate document store.

JSON document

Load a subscriber to view its document.

Structured view

Service adoption computed inside the JSON array JSON_TABLE

Aggregated directly over the documents' services[] arrays — no flattening, no ETL

Referral network — top influencer GRAPH

Multi-hop network reach computed by graph traversal over the referral relationships

Top influencers by network reach GRAPH

Direct referrals vs. total reach across up to 4 hops
InfluencerSegmentStateDirectNetwork reachHops