Together with
Dive, one of our
Open Gaming Research Initiative partners, we’re exploring the topic of data and games through a limited podcast series called “Data Corner.” This episode is the final segment of this mini-series, so we decided to focus it on a fascinating future-facing topic — AI Analytics.
1. Descriptive analytics, which explain what happened
2. Diagnostic analytics, which explain why it happened
3. Predictive analytics, which explain what will happen
4. Prescriptive analytics, which explain how one can make it happen
From a gaming analytics standpoint, gaming studios of all sizes and analytics capabilities live on various points of this framework and employ each of the four analytics types to varying degrees. However, AI has the potential to act as an exoskeleton here and elevate all aspects of this framework.
We hope you enjoy the last episode of the Data Corner. Please send any thoughts, feedback, and questions to
podcast@naavik.co.
We’d also like to thank Pragma for making this episode possible! Pragma is a Backend Game Engine that powers services like accounts, matchmaking and player data for the world’s most ambitious live service games. To learn more, head to
https://pragma.gg/
And as always, if you like the episode, you can help others find us by leaving a rating or review!