Data analytics and machine learning in 
the gaming industry

Solution accelarators for gaming

Based on best practices from our work with the leading brands, we’ve developed solution accelerators for common use cases to save weeks or months of development time for your data engineers and data scientists.

of service

Providing consistent quality in the streaming video and in-game experience is table stakes to keep fickle loyal gamers on your platform at a time when they have more choices for entertainment than ever before. This solution is a quick start for most streaming platform environments to embed a QoS real-time streaming analytics solution.

Customer lifetime 
value model

Understanding and identifying who your most valuable gamers are will help guide better marketing investment and product development choices. This solution focuses on retention and spending components you can combine into an overall CLV model ideal for transaction-based businesses.

Subscriber churn 

Identify customer behaviors to predict increased risk of canceling their subscription using Kaplan-Meier curves and Cox Proportional Hazard models


Behavioral Segmentation

Create more advanced customer segments to drive better purchasing predictions based on behaviors. Using historical data from point of sales systems along with campaign information from promotions management systems, this solution helps teams derive a number of features that capture the behavior of various households with regards to promotions in order to build useful customer clusters.


Recommendation Engine

Create a personalized experience for gamers to drive engagement and monetization. Solution includes notebooks for collaborative filtering and content-based recommenders.


Toxicity Detection for MMOs

This solution accelerator walks through the steps required to detect toxic comments in real time using NLP and your existing lakehouse.


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