| 1 -Data Security and Privacy in Banking.mp4 | 27.8 MB | ||
| 1 -Differences and Overlaps between BI, Data Analytics, ML & AI.mp4 | 24.3 MB | ||
| 1 -How does a typical (high-level) Banking Data Infrastructure look like.mp4 | 57.6 MB | ||
| 1 -Master Data Management (MDM) in Banking.mp4 | 49.1 MB | ||
| 1 -Summary - Developing a Data-Driven Strategy in Banking.mp4 | 23.3 MB | ||
| 1 -What is this course about.mp4 | 23.4 MB | ||
| 2 -Data Fabric (Hybrid Multi-Cloud) & Data Mesh (Data Products) Architectures.mp4 | 49 MB | ||
| 2 -Data Quality Management in Banking.mp4 | 46 MB | ||
| 2 -Excursus Artificial Intelligence at a glance.mp4 | 51.2 MB | ||
| 2 -Future of Data Management in Banking.mp4 | 27.1 MB | ||
| 2 -Key Functions and types of (modern) Core Banking Systems (CBS).mp4 | 61.8 MB | ||
| 2 -Why is data crucial in banking.mp4 | 33.5 MB | ||
| 3 - THANK YOU!!!.html | 716.8 B | ||
| 3 - What are the types of data in banking.html | 3.4 KB | ||
| 3 -Cloud Migration at Scale – What are the trade-offs.mp4 | 28.1 MB | ||
| 3 -Data Integration and Interoperability.mp4 | 50.2 MB | ||
| 3 -Data Management & Data Governance - how do these concepts reinforce each other.mp4 | 59.5 MB | ||
| 3 -Data Warehousing and Data Lakes in Banking.mp4 | 48.1 MB | ||
| 3 -Overview Use Cases - Reporting, Analytics, Intelligence, Prediction & Automation.mp4 | 59.9 MB | ||
| 4 - Additional Lecture - Open Banking, API Data Integration & Data Monetzation.html | 4.8 KB | ||
| 4 - Legacy vs. Modern Banking Data Infrastructure.html | 102.4 B | ||
| 4 - Overall coverage of (potential) Use Cases.html | 102.4 B | ||
| 4 - Technical Blueprint for Banking Data Integration.html | 2.7 KB | ||
| 4 -Data Models - Why do they matter in Banking.mp4 | 39 MB | ||
| 4 -Use Case at glance – BI (Business Intelligence) Reporting in Banking.mp4 | 38.8 MB | ||
| 4 -What does poor Data Management entail and how to overcome these challenges.mp4 | 30.8 MB | ||
| 5 - Data Models in Banking - A Three-Step Approach.html | 102.4 B | ||
| 5 -Data Management in the light of Regulatory Compliance & Risk Management.mp4 | 41.2 MB | ||
| 5 -Example - (Simplified) Banking Data Model.mp4 | 34.1 MB | ||
| 5 -Use Case at glance - Predictive Analytics and Credit Risk Modeling.mp4 | 26.6 MB | ||
| 6 - Additional Lecture BCBS 239 - Five-Step Best Practice implementation guide.html | 4.5 KB | ||
| 6 - Additional Lecture Data Lineage Best practices implementation.html | 2.3 KB | ||
| 6 - Use Case at glance - Predictive Analytics and Credit Risk Modeling - Example.html | 4.7 KB | ||
| 6 -Use Case at glance - Data-Driven Approach of Managing Financial Crime Risks in B.mp4 | 41.8 MB | ||
| 7 -Use Case at glance - Customer Data Analytics and Personalization.mp4 | 28.6 MB | ||
| 8 -Additional Lecture Challenges and Trade-offs in AI adoption.mp4 | 28.5 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 38 total files | |||
Data Management in Banking 101
https://WebToolTip.com
Published 7/2025
Created by Jörg Marinko
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 36 Lectures ( 2h 13m ) | Size: 1 GB
Explore how banks manage data — from governance and infrastructure to integration, reporting, and AI-powered insights
What you'll learn
Understand the Fundamentals of data management, and why it’s vital for banking transformation
Learn how Data Governance and Regulatory Compliance (e.g., BCBS 239, GDPR) shape data handling in financial institutions
Explore core elements of Banking Data Infrastructure, including data architecture, modelling approaches, and storage models
Dive into Metadata Management, with practical emphasis on data quality, data lineage, and data integration
See how banks turn raw data into insights through Business Intelligence (BI) reporting
Examine real-world Data Analytics and AI Use Cases—from fraud detection and credit risk modeling to customer personalization
Requirements
No prerequisites
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