Data Warehouse Implementation

This ambitious project revolves around the implementation of a robust Data Warehouse solution using Oracle technology as its foundation. With more than 10,000 attributes across 300 entities, this endeavor seeks to centralize and harmonize data from 150 distinct source systems. The Data Warehouse will play a critical role in meeting regulatory compliance requirements, including Basel 2, Basel 3, Anti-Money Laundering (AML), and other essential reporting obligations.

Key Project Components:

ETL with ODI: Oracle Data Integrator (ODI) is the chosen Extract, Transform, Load (ETL) tool for seamlessly extracting data from source systems, performing comprehensive validation, transformation, and aggregation processes.

Data Mapping: Mapping over 10,000 attributes across 300 entities is a complex but vital task that ensures data consistency and integrity throughout the Data Warehouse.

Staging Area: Data from diverse source systems is initially uploaded to a staging area. Here, data quality checks and validation are performed to ensure data accuracy and integrity.

Core Data Area: The validated and transformed data is then migrated to the core data area of the Data Warehouse. This core area incorporates data historisation, enabling us to meet Basel 2 and Basel 3 requirements effectively.

Regulatory Compliance Reporting module and Dashboards: The Data Warehouse serves as a central repository for regulatory reporting, including AML and other critical compliance requirements. It provides a comprehensive and auditable data source for reporting to regulatory authorities.

Project Objectives:

Centralize and harmonize data from 150 source systems for improved data accuracy and consistency.

Enhance data quality through rigorous validation and transformation processes.

Create a historical data repository to meet Basel 2 and Basel 3 requirements.

Facilitate regulatory reporting, including AML and other compliance obligations.

Implement a robust ETL process using Oracle Data Integrator (ODI) for efficient data extraction and transformation.

This Data Warehouse implementation project equipped our organization with a comprehensive, compliant, and high-quality data repository. By successfully consolidating data from numerous sources and adhering to stringent regulatory standards, we aim to optimize decision-making processes and ensure data-driven compliance in the financial industry.