Operational Risk Reporting Warehouse Solution

Project Overview

The Operational Risk Reporting Warehouse was a comprehensive enterprise data warehousing solution designed to support multiple operational risk management systems across the organization. This complex project involved building a dimensional data warehouse using Oracle, implementing ETL processes with IBM DataStage, and developing a complete reporting solution with Business Objects. The warehouse supported three major risk management systems: RCSA, CICAT, and CRAS, providing unified reporting and analytics capabilities.

Key Achievements

• Led development and design of comprehensive operational risk reporting warehouse
• Managed team of 3 developers to implement complex data warehouse solution
• Developed dimensional model using snowflake schema for optimal performance
• Overcame complex data relationships in operational risk data sources
• Implemented complete ETL solution using IBM DataStage for data integration
• Developed complex Business Objects universe for reporting framework
• Created 50+ reports for multiple operational risk disciplines
• Learned completely new technology stack (Oracle, DataStage, Business Objects)
• Supported three major systems: RCSA, CICAT, and CRAS integration
• Replaced legacy controls catalog with modern CRAS system

Technical Architecture

Core Components

1. Oracle Data Warehouse

   • Dimensional model with snowflake schema design
   • Optimized for complex operational risk data relationships
   • High-performance data storage and query capabilities
   • Scalable architecture for enterprise-wide reporting

2. IBM DataStage ETL

   • Comprehensive data extraction from multiple source systems
   • Complex data transformation and cleansing processes
   • Automated data loading and scheduling
   • Data quality validation and error handling

3. Business Objects Reporting

   • Complex universe development for unified data access
   • 50+ reports covering multiple operational risk disciplines
   • Interactive reporting and data visualization
   • Automated report scheduling and distribution

4. System Integration

   • RCSA (Risk Control Self Assessment) system integration
   • CICAT (Centralized Issue and Corrective Action Tracking) integration
   • CRAS system development and implementation
   • Legacy system migration and data consolidation

Business Impact

• Unified Reporting: Consolidated reporting across multiple risk management systems
• Data Quality: Improved data accuracy through ETL processes and validation
• Operational Efficiency: Streamlined reporting processes and reduced manual effort
• System Modernization: Replaced legacy systems with modern data warehouse solution
• Risk Management: Enhanced visibility into operational risk across all business areas
• Cost Optimization: Reduced reporting development time and maintenance overhead

Implementation Results

Before Warehouse Solution

• Scattered reporting across multiple risk management systems
• Manual data integration and reporting processes
• Limited visibility into operational risk data
• Legacy systems with limited reporting capabilities
• Inconsistent data quality and validation
• Extensive use of Excel workbooks for retention and processing of data

After Warehouse Solution

• Unified reporting platform for all operational risk systems
• Automated data integration and ETL processes
• Comprehensive visibility into operational risk landscape
• Modern data warehouse with advanced reporting capabilities
• Standardized data quality and validation processes

Technology Stack

• Oracle: Primary data warehouse database platform
• IBM DataStage: ETL development and data integration
• Business Objects: Reporting and analytics platform
• Dimensional Modeling: Snowflake schema design and implementation
• Data Warehousing: Enterprise data warehouse architecture

Key Features

Dimensional Data Warehouse

• Snowflake schema design for optimal query performance
• Complex data relationships modeling for operational risk data
• Scalable architecture for enterprise-wide reporting
• High-performance data storage and retrieval

ETL Data Integration

• Multi-source data extraction from operational risk systems
• Complex data transformation and cleansing processes
• Automated scheduling and data loading
• Data quality validation and error handling

Business Objects Reporting

• Complex universe development for unified data access
• 50+ reports covering multiple operational risk disciplines
• Interactive reporting and data visualization
• Automated report scheduling and distribution

System Integration

• RCSA integration for risk control self assessment reporting
• CICAT integration for issue and corrective action tracking
• CRAS system development replacing legacy controls catalog
• Unified reporting across all risk management systems