Case Study

Modernizing Data Integration with Aladdin Data Cloud and Cloud-Native Architecture

Industry

Asset Management

Our Contributions

Data Platform Modernization, Cloud Migration, API-led Integration

Technologies

Aladdin Data Cloud (Snowflake), AWS

Coforge partnered with a leading global asset management firm to modernize its data integration ecosystem, supporting the Aladdin Investment Management platform. The engagement focused on simplifying a complex legacy data architecture, improving scalability, and enabling a cloud-native, future-ready data foundation.

By leveraging Aladdin Data Cloud and AWS-native services, Coforge transformed the client’s operational data landscape into a scalable, automated, and high-performance platform. The modernization enabled faster access to trusted data, reduced operational complexity, and empowered data-driven decision-making across investment operations.

Phase 1

Legacy platform assessment and architecture design

Phase 2

Cloud-native data platform implementation

Phase 3

API-led integration and automation rollout

Phase 4

Legacy decommissioning and optimization

Drag

The Challenge

The client’s legacy enterprise data warehouse, originally designed for historical audit data, had evolved into a complex operational integration platform. The addition of TIBCO BW middleware increased architectural complexity, making the system difficult to scale and maintain.

Rapid data growth led to performance bottlenecks and slower query response times, impacting business operations. Data integration across multiple upstream systems introduced inconsistencies, requiring significant manual effort for reconciliation and validation.

ETL processes became increasingly complex and time-consuming, delaying data availability and increasing operational risk. High maintenance overhead and dependency on legacy tools diverted resources from strategic initiatives. Additionally, onboarding new data sources was slow and error-prone, limiting agility and responsiveness to evolving business needs.

Our Approach / Solution

Cloud-Native Data Platform Architecture

Designed and implemented a scalable cloud-native architecture, enabling the decommissioning of legacy data warehouse systems and TIBCO BW middleware.

Automated Data Ingestion with Aladdin Data Cloud

Built AWS-based data pipelines integrated with Aladdin Data Cloud (Snowflake) for high-performance, scalable data ingestion and processing.

Streamlined ETL & Data Orchestration

Leveraged AWS Step Functions to orchestrate automated ETL workflows, reducing complexity and ensuring consistent, timely data availability.

API-Led Data Access Layer

Developed serverless, entity-level APIs (e.g., holdings, positions) using Node.js and AWS Lambda to enable secure, scalable data access for downstream systems.

Serverless & Low-Maintenance Architecture

Adopted serverless design principles to minimize infrastructure overhead and allow teams to focus on higher-value innovation initiatives.

Partner / Technology Ecosystem

Aladdin Data Cloud (Snowflake)
AWS (Lambda, Step Functions, Data Lake)
Node.js APIs
Cloud-native integration frameworks

Impact to Date

-40%

Reduction in Data Processing Time

-30%

Reduction in Operational Costs

+50%

Improvement in Data Quality & Consistency

-60%

Reduction in Manual Effort