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Banking and Financial Services: Advanced Data Analytics and BI
COURSE

Banking and Financial Services: Advanced Data Analytics and BI

INR 59
★ 0.0 Rating
📂 Industry Enablement for IT

Description

Master data analytics and business intelligence for BFSI, supporting decision-making, prediction, reporting and compliance.

Learning Objectives

Enable BFSI professionals to utilize data analytics, AI/ML, business intelligence platforms for forecasts, compliance, reporting and business optimization.

Topics (7)

1
Business Intelligence (BI) Platforms and Data Lakes

BI platform selection (Tableau, Qlik, Power BI), data modeling, data warehousing, self-service analytics.

2
Predictive Modeling and Forecasting in BFSI

AI/ML models, regression, decision trees, time series, credit risk, fraud prediction, simulation.

3
Regulatory Reporting and Compliance Analytics

Automated reporting, regulatory templates, compliance dashboards, audit trails, anomaly detection.

4
Dashboarding and Visualization for BFSI

Visualization best practices, KPI selection, drill-down analytics, self-service dashboard tools.

5
Compliance, Privacy and Data Governance in Analytics

GDPR, data privacy, consent management, audit, access control, data lifecycle, cross-border rules.

6
Anomaly Detection and Real-Time Alerts

Machine learning, alert engines, risk scoring, fraud analytics, responsiveness, audit trails.

7
Actionable Insights and Business Optimization

Insight generation, optimization models, cross-sell/up-sell, process improvement, benchmarking, reporting.