Overview

A major bank successfully modernized its data platform from legacy Sybase ASE to a centralized solution using Cloudera and SQL Server. This transformation aimed to address challenges such as lack of standardized governance, data duplication, and manual coding, ultimately achieving a trusted and efficient data management system.

Business Requirement and Challenges

The bank faced critical challenges due to its reliance on legacy data platforms, including Sybase ASE, which lacked standardized governance processes. This led to data duplication, manual coding, and a lack of change management processes.
The primary business requirement was to establish a modernized data platform capable of handling trusted data and complying with central bank regulations.

Our Solution

To address these challenges, we implemented a robust Data Warehousing solution:

Designed an industry-standard banking data model for Atomic and Datawarehouse structures, ensuring consistency and accuracy in data representation.

Utilized Informatica Data Engineering platform to build robust data pipelines, enabling efficient data movement and transformation.

Implemented data quality business rules to ensure data accuracy, completeness, and consistency across the platform.

Implemented Data Catalog and Axon for governance and central bank compliance, ensuring regulatory requirements are met and data is properly managed.

Business Outcome

The implementation of the Data warehouse resulted in significant improvements:

Leveraging Cloudera and SQL Server, the bank established a centralized data platform that provided a unified and trusted view of data, enhancing decision-making processes.

The implementation of Airflow facilitated fully managed data pipelines orchestration, ensuring efficient data movement and transformation while reducing operational complexities.

By deploying Data Catalog and Axon, the bank strengthened its governance framework and achieved compliance with central bank regulations, ensuring data integrity and regulatory adherence.

Enabled end-to-end data lineage across data platforms, providing transparency and traceability, which improved data quality and trust among stakeholders.

This case study underscores the bank's successful transformation towards becoming a data-driven organization, overcoming legacy challenges with a modernized data platform and robust governance solutions. The implementation of industry-standard data models, data engineering platforms, and governance tools resulted in improved data management, compliance, and operational efficiency, setting a benchmark for digital transformation in the banking sector.