Financial Data Silos Solved with Real-Time Risk Intelligence

Transform fragmented core banking, payment, and risk systems into unified financial intelligence and regulatory confidence.

Does This Sound Familiar?

CUSTOMER 360 FRAGMENTATION

Can you see a complete customer view—all accounts, loans, cards, investments—in one place? Can you calculate true CLV?

Most banks:

Data locked in silos (core banking, cards, wealth).

With Simax EDW:

Single customer truth, unified profitability.

REAL-TIME FRAUD & RISK BLINDNESS

Can you detect anomalous transactions in real-time? Can you flag high-risk customers before losses occur?

Most banks:

Batch processing, next-day alerts, reactive.

With Simax EDW:

Real-time risk scoring, proactive intervention.

REGULATORY REPORTING NIGHTMARE

Can you generate AML/CFT, BASEL III, or RBI compliance reports—on demand—without a 2-week scramble?

Most banks:

Manual data extraction, error-prone, slow.

With Simax EDW:

Automated regulatory dashboards, audit-ready.

LOAN PORTFOLIO PERFORMANCE GUESSWORK

Which loan segments are most profitable? Which have the highest NPA risk? Which branches excel at collections?

Most banks:

Monthly reports, lagging indicators.

With Simax EDW:

Daily portfolio analytics, predictive risk.

The cost isn't just operational inefficiency. It's regulatory fines (₹10-50 Crore per breach), fraud losses (1-2% of revenue), and the inability to compete with digital-first banks.

What Financial Data Fragmentation Costs You

METRICBEFORE EDWAFTER EDWIMPACT
Fraud Detection Time24-48 hoursReal-time95% ↓
Regulatory Report Prep2-3 weeks2 days85% ↓
Customer 360 ViewImpossibleUnifiedComplete
NPA Prediction Accuracy60%85%+40% ↑
Cross-Sell Conversion2-3%8-12%300% ↑
Manual Reporting Hours/Week60 hours6 hours90% ↓

ROI Example

For a bank with ₹10,000 crore AUM:

Reducing fraud losses from 1.5% to 0.5% = ₹100 crore annual savings

Improving cross-sell conversion = ₹50 crore incremental revenue

Time saved on reporting = 54 hours/week = 7 FTE equivalent

Typical EDW payback period: 14-18 months

Our Financial Services-Specific EDW Solution

1. CUSTOMER 360 DATA HUB

What We Build:

  • Unified customer master (all products)
  • Cross-product holdings & profitability
  • Customer lifetime value (CLV) calculation
  • Relationship depth scoring
  • Attrition risk prediction

Data Sources Integrated:

Core banking system (Finacle, Temenos, custom), Credit card systems, Loan management systems, Wealth management platforms, CRM & call center data

2. REAL-TIME FRAUD & RISK ENGINE

What We Build:

  • Transaction anomaly detection
  • Behavioral analytics (spending patterns)
  • Geolocation risk scoring
  • Velocity checks (multiple transactions)
  • Watchlist screening (AML/CFT)

Insights Delivered:

Real-time fraud alerts (API-driven), High-risk customer flagging, Transaction pattern deviations, Merchant fraud detection

3. REGULATORY COMPLIANCE DASHBOARDS

What We Build:

  • Automated AML/CFT reporting
  • BASEL III capital adequacy tracking
  • RBI compliance dashboards
  • KYC completeness monitoring
  • Suspicious transaction reporting (STR)

Compliance Coverage:

RBI guidelines (KYC, AML, CFT), BASEL III capital ratios, FATCA & CRS reporting, Audit trail for all data changes

4. LOAN PORTFOLIO & CREDIT ANALYTICS

What We Build:

  • Loan origination to closure tracking
  • NPA prediction models
  • Vintage analysis (loan performance by cohort)
  • Collection effectiveness tracking
  • Credit risk concentration analysis

Financial Impact:

Reduce NPAs through early intervention, Optimize loan pricing by risk segment, Improve collection recovery rates, Identify profitable loan segments

Role-Specific Intelligence for Every Stakeholder

Purpose-built dashboards for every decision-maker in your institution.

Dashboard 1: CEO / CFO Dashboard

Executive financial performance overview

NIM

3.42%

+0.18%

AUM

₹10,240Cr

+12.4%

NPA Ratio

2.1%

-0.3%

CAR (BASEL III)

14.2%

Compliant

NIM Trend (12M)

AUM Growth (Quarterly)

Q1Q2Q3Q4Q5

Capital Adequacy Ratio

14.2%Min: 10.5%

Branch Profitability Heatmap

Mumbai-1

Delhi-2

Pune-3

Chennai-4

Hyd-5

Blr-6

Kol-7

Ahm-8

Jaipur-9

Lucknow-10

Surat-11

Nagpur-12

Low
High
Revenue Growth & ProfitabilityCapital Ratios & ComplianceCustomer Acquisition & RetentionAsset Quality (NPA)

Dashboard 2: Risk & Compliance Dashboard

Real-time fraud, AML/CFT, and regulatory monitoring

Live Fraud Alerts

TXN-8821₹4,20,000HIGH
TXN-8819₹85,000MEDIUM
TXN-8815₹12,500LOW
TXN-8810₹2,10,000HIGH

KYC Completeness

94%Target: 98%

Credit Risk by Sector

Real Estate32%
Manufacturing25%
Retail20%
Others23%

AML Transaction Flags

AccountAmountStatus
AC-****4421₹18LFlagged
AC-****8832₹7.2LReview
AC-****2291₹32LFlagged
AC-****5510₹4.5LClear
Fraud Detection RateAML/CFT ComplianceCredit Risk ConcentrationRegulatory Readiness

Dashboard 3: Retail Banking / Loan Operations

Loan portfolio health, collections, and cross-sell performance

Loan Book

₹2,840Cr

+8.2%

Collection Eff.

87%

+3%

Cross-sell Rate

8.4%

+2.1%

NPA (Gross)

2.1%

-0.4%

Loan Origination Funnel

Applications1,240
Credit Check980
Approved720
Disbursed640

NPA Vintage Cohort

20202021202220232024

Collection Efficiency

87%Target: 90%
Loan Portfolio QualityCollection EfficiencyCross-Sell ConversionBranch Profitability

Secure, Compliant Architecture for Banking

Financial Services-Specific Considerations

DATA SECURITY & COMPLIANCE:

PCI-DSS compliant (card data security)

RBI data localization requirements (India)

Encryption at rest & in transit (AES-256)

Role-based access control (RBAC)

Immutable audit logs (regulatory compliance)

RECOMMENDED STACK:

Cloud:

Azure or AWS (both RBI-compliant for India)

Warehouse:

Snowflake (with data masking for PII/PCI)

ETL:

Informatica PowerCenter (banking-proven)

BI:

Power BI or Qlik (regulatory reporting capabilities)

Governance:

Collibra (data lineage for audit trails)

Technology Partners

Microsoft Azure

Cloud

AWS

Cloud

Snowflake

Data Warehouse

informatica

Informatica

ETL / Integration

Power BI

Business Intelligence

lik

Qlik

Analytics

Collibra

Collibra

Data Governance

dbtdbt

dbt

Data Transformation

How We Implement EDW for Financial Institutions

A structured, proven process from assessment to full adoption.

Phase 01

Banking Assessment

3–4 weeks
  • Audit core banking, card, loan, wealth systems
  • Interview stakeholders (Risk, Compliance, Operations, IT)
  • Document regulatory requirements (RBI, BASEL, AML)
  • Identify critical KPIs (NIM, NPA, CAR, fraud rate)

Deliverable

Banking-Specific EDW Blueprint

Phase 02

Architecture

4 weeks
  • Design customer 360 data model
  • Plan real-time fraud detection architecture
  • Configure security & access controls (RBAC)
  • Define data retention policies (regulatory)

Deliverable

RBI-Compliant Architecture

Phase 03

Build

14–18 weeks
  • Integrate core banking system
  • Connect card & loan platforms
  • Build fraud detection engine
  • Implement regulatory reporting automation

Deliverable

Production EDW

Phase 04

Dashboards

6–8 weeks
  • CEO/CFO executive dashboard
  • Risk & compliance dashboard
  • Retail banking/loan operations dashboard
  • Branch manager mobile app (optional)

Deliverable

Role-Based Financial Analytics

Phase 05

Validation & Support

Ongoing
  • User acceptance testing (UAT)
  • Regulatory validation documentation
  • Team training (risk, operations, compliance)
  • 24/7 support with SLA

Deliverable

Validated System + Ongoing Support

Ready to Transform Your Financial Data Architecture?

Schedule a financial services-specific assessment call.

We'll discuss:

  • Your customer 360 and cross-sell challenges
  • Fraud detection and risk management gaps
  • Regulatory compliance automation needs
  • Expected ROI for your institution size

30 minutes. Zero commitment.

Direct Contact

Email

xxx@simaxsystems.com

Phone

xxx

Response time: Within 24 business hours

Available for new financial services engagements