Introduction:
The customer is a leading Asset Management Company (AMC) in the FinTech sector, operating large-scale digital investment platforms and serving millions of investors.
Client
A leading Asset Management Company (AMC)
Industry:
FinTech & Asset Management
Offering:
Serverless Data Warehousing & ETL on AWS by Rapyder
AWS Services Utilized:
- Amazon Redshift
- Amazon Athena
- AWS Glue
- AWS Lambda
- Amazon EventBridge
- Amazon S3
- AWS Database Migration Service (DMS)
- Amazon VPC
- AWS Identity and Access Management (IAM)
Business Need:
Bridging the “NoSQL Analytics Gap”
The customer reliance on MongoDB for operational agility had inadvertently created a significant “data intelligence gap,” posing critical business challenges:
- Trapped Insights: Essential data on investor acquisition (Leads) and agent training (LMS) was locked in complex, deep hierarchies within MongoDB. Standard BI tools and SQL analysts could not query this data effectively.
- Siloed Insights & Delayed Reporting: Critical business intelligence was isolated, preventing a unified, real-time view of performance across the organization and leading to slow, fragmented reporting cycles.
- Zero-Downtime Imperative: As a 24/7 financial platform handling millions of investors, any data transformation required absolute zero downtime and stringent security to meet compliance standards.
They needed an expert partner to build a robust, scalable data warehouse solution that could democratize access to their complex NoSQL data and deliver real-time business intelligence.
Solution Approach and Implementation:
Real-time data. Zero operational impact. Instant insights.
Rapyder built a fully serverless, real-time data pipeline that converts live MongoDB data into analytics-ready insights – without slowing down core business systems.
- Live Data Capture: Changes in operational data are captured in real time, ensuring leadership always sees the latest numbers.
- Cost-Efficient Data Lake: Data is securely stored in a scalable, low-cost lake, creating a single source of truth.
- Smart Data Shaping: Complex, unstructured data is automatically cleaned and structured for reporting.
- High-Speed Analytics: Business-ready data is delivered to a high-performance analytics platform for instant dashboards and decision-making.
Key Technical Highlights of Rapyder’s Implementation:
- Format Optimization: Converted JSON to Apache Parquet during staging, reducing storage costs and improving query performance by up to 30%.
- Financial-Grade Security: Implemented within a secure VPC with restricted IAM Roles. Data is encrypted both in transit and at rest to meet industry compliance regulations.
- Data Integrity: Integrated validation steps using Amazon Athena to verify row counts and checksums before the final load into Redshift.
Reaping Rewards/Business Transformation:
From Raw Data to Real-Time Advantage
Rapyder’s serverless data warehouse didn’t just modernize infrastructure -it changed how the AMC thinks, decides, and acts.
- 30% Faster Analytics: Business teams run complex queries on investor and distributor data – without IT dependency.
- Near Real-Time Decisioning: Dashboards reflect data in minutes, enabling faster, more confident strategic moves.
- Lower TCO, Higher Efficiency: Serverless architecture eliminates infrastructure overhead and manual maintenance.
- Stronger Security & Compliance: Encrypted data and private network controls meet financial-grade regulatory standards.
- Scalable by Design: The platform grows seamlessly with transaction volume – no re-architecture required.
