Platform Active — Real-Time Monitoring

Data Manager
Platform

One platform powering every banking data capability — from real-time fraud detection to regulatory compliance, revenue assurance and AI-driven insights.

—M
GCash Users
—M
Daily Transactions
—M
Scam/Spam Blocked (H1 2025)
—M
QR Ph Merchants
Total Transactions
—
+12.4% vs last period
Anomalies Detected
—
AI-Flagged
Revenue Leakage (PHP)
—
Identified & Tracked
Fraud Blocked
—
Protected
Avg Latency
— ms
Data Quality Score
—%
Compliance Pending
—
Open Disputes
—
Live Transaction Feed Simulated real-time stream
vs. Industry Benchmarks
Real-Time
Philippine Digital Payments Context

Globe Telecom has blocked over 9 billion spam/scam messages since 2022 and shut down 145,000+ SIM box operations. GCash serves 81 million users with 3.2M QR Ph merchants, processing over 12.5M transactions daily. The platform leverages Silent Network Authentication (SNA) for frictionless, SIM-based identity verification — eliminating OTP phishing vectors.

Transaction Volume (90-Day Trend)
All GCash InstaPay BancNet
Channel Mix
Avg Latency Trend (ms)
Data Quality Score (%)
Fraud Detection Rate (%)
Use Cases

Enterprise Data Capabilities

Six core capabilities that transform how banks manage, protect, and extract value from their transaction data.

01
Revenue Assurance & Leakage Prevention

Single truth layer for card & payment transactions. Ensures every transaction is rated once, correctly — no missing or duplicate events.

Impact

Recovering 1% leakage = PHP 500M/year

Cards, Payments, Finance, Risk, IT
02
Real-Time Fraud & Authorization Intelligence

Real-time data spine for authorization, fraud and channels. Keeps all systems aligned to the same current view of each transaction.

Impact

100-200ms latency reduction at peak

Fraud/Risk, Cards, Digital Channels, Architecture
03
Regulatory Compliance & AML

Governed, auditable data foundation for all compliance workloads. ISO 20022-ready message structures with full lineage.

Impact

AML investigation: days to minutes

Compliance, AML, Risk, Data, IT
04
Legacy Modernization & Data Normalization

Translation and normalization layer across all transaction systems. Consistent IDs, codes and formats bank-wide.

Impact

Eliminating 1-2% file processing failures

COO, CIO/CTO, Architecture, Data Office
05
Dispute & Chargeback Resolution

Single, correlated timeline for every transaction lifecycle event. Speeds up dispute investigation and reduces write-offs.

Impact

30min to 5min = 400+ staff-hours saved/mo

Operations, Customer Service, Risk, Cards/Payments
06
AI-Enabled Data Flows

AI functionalities for billing anomaly detection, forecasting, and early deviation detection on payment and billing.

Impact

AI-driven anomaly & fraud prevention

Data Science, All BUs
Vision

Unified Data Platform

A cohesive ecosystem that integrates, secures, and empowers data through a SciKIQ AI-native Data Fabric with a Unified Data Model supporting organization-wide workloads — from ETL to BI/Reporting and AI/ML.

Explore TOTF Initiative Architecture
Cloud Native
Azure + SciKIQ
Low Latency
< 500ms response
Secure
Governed access
Scalable
Billions of events/day
Always On
HA + DR ready
AI/ML Ready
Built-in intelligence
AI
AI Analyst

Welcome to the Data Manager AI Analyst. I can help you with:

  • Revenue leakage analysis & recovery strategies
  • Fraud pattern detection insights
  • Compliance & AML risk assessment
  • Data quality recommendations
  • Executive-level briefings

Ask me anything about your banking data platform.