Level up with Databricks at Game Developers Conference
We're thrilled to announce that Databricks will be sponsoring Game Developers Conference (GDC), the world's largest professional game industry event, taking place March...
Is your game studio looking to stay ahead of the curve in a rapidly evolving industry? Look no further than our Ultimate Guide to Game Data and AI. This comprehensive ebook provides an in-depth exploration of the key topics surrounding game data, analytics and AI, from the business value it provides to the core use cases for implementation. Whether you're a seasoned data veteran or just starting out, this guide will equip you with the knowledge you need to take your game development to the next level. Don't miss out on this opportunity to stay ahead of the competition while better engaging with your players.
Download our Ultimate Guide to Game Data and AI today!
Data, analytics, and AI play a central role in the development and operation of today's top-grossing video games. Studios globally struggle with fragmented views of their audience, with data often outpacing legacy technologies. Today, the need for real-time capabilities and the leap from descriptive to predictive analytics has made it so that leveraging the full value of your game data is no longer a "nice-to-have", but table stakes for success.
In this guide, we dig into the role of game data, analytics and AI. We cover hot topics such as the need to create business value, the key stakeholders of game data, our best-practice metrics for success, and how to get started gathering and receiving data in the cloud. We then deep dive on the value of data throughout the lifecycle of a game, then spend the rest of the guide breaking down the most canonical data and AI use cases that we've worked on, partnering with game companies like Activision, Devsisters, Electronic Arts, Kolibri, Mojang, Riot Games, Second Dinner and more.
Here are some of the use cases covered:
- Game Analytics: How to collect and analyze data about how players are interacting with your game
- Player Segmentation: How to group players based on their behavior and preferences
- Player Lifetime Value: How to calculate the lifetime value of your players and use that information to improve retention
- Toxicity Detection: How to use AI to detect toxic behavior in your game real-time and prevent it from spreading
- Social Media Monitoring: How to track what players are saying about your game on social media and other channels
- Player Feedback Analysis: How to analyze feedback from players to improve your game
- Multi-touch Attribution: How to measure the impact of different marketing channels on player acquisition and retention
- Next Best Offer / Next Best Action: How to use data to determine the best offers to make to individual players
- Churn Prediction and Prevention: How to identify players who are at risk of churning and take action to keep them engaged
- Real-time Ad Targeting: How to use data to target players with ads that are relevant to their interests and behavior
- Anomaly Detection: How to detect and diagnose issues with your game in real time
- Automating Build Pipelines: How to automate your game build process to improve efficiency and reduce errors
- Crash Analytics: How to identify and diagnose crashes and other technical issues that are impacting your players
Are you ready to unlock the power of game data and AI? Download our Ultimate Guide today and start gaining the insights you need to succeed in the competitive world of game development.
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