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Data Warehouse Modernization and Enhancement for Financial Reporting

itmagination.com

Financial services

Data Silos and Reporting Inefficiencies

DNB Bank faces challenges with data silos across over 20 systems, hindering comprehensive reporting and analysis. Manual processes for regulatory reporting (e.g., BASEL II) are time-consuming and prone to errors. Lack of a centralized, integrated data repository limits the ability to derive actionable insights for operational and MIS reporting. The existing systems struggle to meet evolving regulatory requirements efficiently.

About the Client

Norway's largest financial services group with over $226 Billion in assets, providing a wide range of banking services.

Objectives

Establish a centralized data warehouse to integrate data from over 20 systems.
Enhance reporting capabilities for regulatory compliance (e.g., BASEL II).
Improve data quality and consistency across the organization.
Enable efficient MIS reporting and data-driven decision-making.
Implement robust data validation and reconciliation processes.

Functional Requirements

ETL process for data integration from multiple source systems.
Data validation and reconciliation mechanisms.
Thematic Data Marts for specific business areas.
Reporting tools for generating standard and ad-hoc reports.
Banking Data Model for consistent data definitions.

Preferred Technologies

Microsoft SQL Server

SSAS (SQL Server Analysis Services)

SSIS (SQL Server Integration Services)

SSRS (SQL Server Reporting Services)

Required Integrations

Integration with existing core banking systems.
Integration with other internal systems (specify if known, e.g., CRM, loan systems).

Non-Functional Requirements

Scalability to accommodate future data growth.
High performance for query execution and reporting.
Robust security measures to protect sensitive financial data.
Data governance framework to ensure data quality and consistency.

Expected Business Impact

This project will significantly improve DNB Bank's ability to generate accurate and timely reports, streamline regulatory compliance, enhance data-driven decision-making, and reduce operational costs associated with manual reporting processes. Improved data visibility will also support better risk management and customer insights.