Business Problem

Miden’s financial data analysis was heavily manual, leading to:  

• Time-consuming report generation impacting decision-making speed.
• Lack of real-time insights, affecting fraud detection and financial planning.
• Limited visualization capabilities, restricting data-driven strategies.  

About Miden

Miden provides businesses with modern banking infrastructure, enabling seamless financial services. To enhance decision-making, Miden sought an AI-powered analytics dashboard to provide real-time insights into transaction trends, fraud patterns, and financial performance.

Solution

goML collaborated with Miden to develop an AI-driven Analytics Dashboard using AWS’s advanced infrastructure. The solution enabled automated insights, enhanced visualization, and real-time fraud detection.

Real-time Analytics Dashboard – Built using Python, RDBMS, and AWS S3, providing interactive transaction insights.

Secure Data Processing – Utilized AWS Lambda for serverless execution and OpenSearch for fast querying.

AI-Driven Predictive Analytics – Machine Learning models identified transaction anomalies and trends.

Scalable Deployment – Implemented using Docker, ECR, and CloudFormation for version control and infrastructure automation.

Automated Financial Reporting – Reduced manual reporting efforts with AI-driven data processing.