AI-Powered Analytics Dashboard for Miden

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. 

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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. 

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

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

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

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

3.

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

Outcomes

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Faster Data Processing – Enabled real-time financial insights and anomaly detection. 

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Reduction in Manual Report Generation – AI-driven automation streamlined financial reporting. 

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Improvement in Data Query Speed – Optimized infrastructure enhanced data accessibility.