📱Bupa Modernizes My Bupa App, Boosts Ratings and Reduces Crashes
Modernizing legacy apps can slash crashes and boost ratings
TL;DR
Bupa modernized its My Bupa app, boosting ratings from 3.7 to 4.7 and reducing crashes by 24% on Android and 8% on iOS. AI and native code helped cut transformation time by 60%.
Bupa recently modernized its My Bupa mobile application, moving from Xamarin to native Swift and Kotlin. This shift improved the app's rating from 3.7 to 4.7 and reduced user-perceived crash rates by 24% on Android and 8% on iOS. The use of AI in the modernization process cut the transformation time by approximately 60% compared to traditional methods. This case study highlights how modernizing legacy technology can lead to better user experiences and more efficient development cycles.
Key Points
Bupa's My Bupa app saw its rating jump from 3.7 to 4.7 after modernization.
Crash rates dropped by 24% on Android and 8% on iOS post-modernization.
AI and native coding cut the modernization time by 60% compared to traditional methods.
Modernized platforms enable more personalized and predictive customer experiences.
The shrinking talent pool for legacy tech poses a significant risk for companies.
Why It Matters
If you're running a legacy mobile app, Bupa's My Bupa case study shows the benefits of modernization. Ratings improved from 3.7 to 4.7, and crash rates fell by 24% on Android and 8% on iOS. The use of AI and native coding cut the transformation time by 60%, making modernization more feasible and beneficial.
Frequently Asked Questions
Why does this matter?
If you're running a legacy mobile app, Bupa's My Bupa case study shows the benefits of modernization. Ratings improved from 3.7 to 4.7, and crash rates fell by 24% on Android and 8% on iOS. The use of AI and native coding cut the transformation time by 60%, making modernization more feasible and beneficial.
What happened?
Bupa modernized its My Bupa app, boosting ratings from 3.7 to 4.7 and reducing crashes by 24% on Android and 8% on iOS. AI and native code helped cut transformation time by 60%.
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