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Modern video games generate vast amounts of data, making insight extraction challenging. Game Analytics and Player 360 solutions on AWS help developers and publishers quickly deploy specialized data analysis systems that scale automatically with data volume. These tools allow rapid deployment of data pipelines, accelerate decision-making, and free up talent to derive insights rather than process data. The result is improved data quality, advanced analytics capabilities, and more personalized player experiences, ultimately leading to better games and increased player satisfaction.
Simple, collaborative and open platform: This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It’s built on open source and open standards to maximize flexibility.
Amplitude helps financial services organizations like Square meet customers in the moment, with real-time experiences that drive engagement, improve conversion and bolster retention. Amplitude helps teams to bring these experiences to life by providing them with quantitative and qualitative insights, recommendations and predictions about what customers are doing and why across the entire customer journey. And because Amplitude standardizes, governs and centralizes data across all sources, teams can confidently use these insights to drive the best results.
ClickHouse Cloud is the cloud offering created by the original creators of the popular open-source OLAP database ClickHouse. Developed with a focus on unparalleled query speeds at massive data scales, the ClickHouse Cloud is an extraordinarily fast, seamlessly scalable and delightfully easy-to-use online analytical database created for massive data volumes and real-time query responses. Special consideration was also taken to ensure state-of-the-art security is embedded into the heart of the service, in addition to having point-and-click integration capabilities with other data sources.
GameAnalytics offers comprehensive and cost-effective data solutions for game developers, helping them save time building their own data pipelines. Turn data into insights and boost your games with fully secure and privacy-compliant tools.
This Guidance demonstrates how you can unlock insights and respond to game player behavior using natural language and generative business intelligence.
This guidance helps game owners, game admins, and LiveOps admins to automate the process for building an end-to-end machine learning (ML) pipeline, that takes labeled player data and automatically builds, trains, tunes and deploys the best ML model for predicting player behavior, and gaining player insights.
This Guidance helps game developers deploy a modular, serverless analytics pipeline for ingesting, storing, processing, and visualizing telemetry data from game clients and backend services.