Case Study

Achieving 30% Faster Reporting and 20% Profitability Gains Through CloudThat’s AWS-Powered Data Solutions

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Industry 

FinTech

Expertise 

Amazon QuickSight, Amazon S3, Amazon CloudWatch, AWS IAM, AWS Glue

Offerings/solutions 

AWS-driven data solutions for scalable storage, real-time insights, and enhanced profitability

About the Client

The client is a global nonprofit in the microfinance sector on a mission to create a fair and inclusive economy by building a scalable cloud-based analytics platform. This platform will analyze partner data, enabling the organization to explore opportunities, address challenges, and pilot innovative solutions.

Highlights

30%

Reduced report generation time

20%

Increase business profitability

End-to-End Data Pipeline Implementation

AWS Glue for ETL processes and Amazon S3 for storage

The Challenge

The client faced challenges with an inflexible infrastructure lacking the computational power to process large, diverse datasets efficiently. This hindered the timely exploration of opportunities, efficient testing of data-driven solutions, and strategic decision-making, necessitating a scalable, cloud-based analytics platform.

Solutions

• Secured CSV data transfer to Amazon S3 over a VPN, ensuring data protection.
• Configured Amazon S3 for scalable storage of raw and processed data.
• Automated ETL tasks with AWS Glue, using Crawlers to catalog and structure data.
• Processed data prepared for analysis and stored in Amazon S3 using AWS Glue jobs.
• Queried processed data with Amazon Athena for SQL-based insights without extra infrastructure.
• Built Amazon QuickSight dashboards for real-time analytics and data-driven decisions.
• Enforced access controls with AWS IAM and monitored activity using CloudTrail and CloudWatch.
• AWS services used: Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSight, IAM, CloudTrail, CloudWatch.

The Results

CloudThat implemented a scalable AWS data pipeline, enabling real-time insights, faster reporting, and enhanced decision-making, potentially increasing profitability by 20%.

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