Home icon

How PayNet enhanced payment analytics with Amazon QuickSight

Business Intelligence Blog



PayNet, Malaysia's national payments network, transformed its business intelligence capabilities by implementing Amazon QuickSight to enhance payment analytics and data monitoring across its financial services.

  • Solved legacy BI tool limitations like slow performance and manual data updates
  • Integrated QuickSight with AWS services like S3, Athena, and AWS Glue
  • Implemented secure single sign-on using AWS IAM Identity Center and Okta
  • Created dashboards for product performance, cross-border transactions, and data quality monitoring
  • Leveraged Amazon Q's generative AI for natural language analytics queries

Key benefits include 91.7% efficiency gain in transaction analysis, 64.8% reduction in BI tool expenses, and improved data governance. PayNet aims to further democratize data analysis using QuickSight's generative AI capabilities.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Sep 25
2025
How SSENSE modernized their analytics platform with Amazon QuickSight
Aug 27
2025
Transform your Google Sheets data into powerful analytics with Amazon QuickSight
Mar 21
2025
Optimize your Amazon QuickSight implementation: a guide to usage analytics and cost management
Oct 23
2024
Boost post-call analytics with Amazon Q in QuickSight

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.