GoDaddy Transforms Analytics with Amazon QuickSight, Saves 15,000 Hours
Key takeaways
- GoDaddy achieved significant savings and efficiency by migrating to Amazon QuickSight.
- The transformation reduced dashboard count by 50% and improved rendering times.
- AI-powered self-service analytics are now accessible to all employees.
- Modernizing BI infrastructure can yield substantial operational benefits.
Who benefits
Summary
GoDaddy successfully migrated its business intelligence (BI) operations to Amazon QuickSight, resulting in 15,000 hours saved annually, a 50% reduction in dashboards, and sub-5-second rendering times. This two-year transformation also enabled AI-powered self-service analytics for all employees.
Why it matters
This case study demonstrates how migrating to modern, AI-powered BI tools can lead to significant cost savings, improved efficiency, and broader data accessibility, empowering all employees with self-service analytics.
How to implement this in your domain
- 1Assess current BI infrastructure for inefficiencies and identify opportunities for modernization.
- 2Develop a phased migration plan to transition from legacy BI tools to cloud-native solutions like Amazon QuickSight.
- 3Standardize data models and dashboard designs to reduce redundancy and improve user experience.
- 4Implement training programs to enable all employees to utilize self-service analytics effectively.
- 5Measure and report on key performance indicators (KPIs) like hours saved, dashboard count, and rendering times to quantify ROI.
Original post by Jake Minette
"In this post, you will learn how GoDaddy migrated from their legacy business intelligence (BI) tool to Amazon Quick. This was a two-year transformation that delivered results across every dimension of the business: 15,000 hours saved annually, 50% reduction in dashboard count, re…"
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