How GoDaddy transformed its analytics with Amazon Quick
Machine Learning Blog
This article describes how GoDaddy migrated from legacy business intelligence tools to Amazon Quick, delivering significant performance and organizational improvements.
- Reduced dashboard rendering time from 15 minutes to under 5 seconds through cloud-native architecture
- Deployed seven custom chat agents enabling self-service analytics without SQL or Python skills
- Automated Weekly Business Reviews with Quick Flows, saving 1,900+ hours annually
- Rationalized dashboard portfolio from 5,000+ to 2,500, eliminating redundant assets
- Embedded analytics directly into operational tools like Hivemind experimentation platform
- Achieved 4,298 active users with 828 authors and 3,128 readers by end of 2025
- Implemented governance frameworks early to prevent dashboard sprawl and ensure sustainable growth
GoDaddy's two-year transformation demonstrates how cloud infrastructure, AI automation, and conversational analytics enable enterprise-scale data democratization and cultural shift toward data-driven decision-making.
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
2024
2026
2026
2026
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.