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Data Tracking for a Multiplayer Game in Google BigQuery (Playwing) - case study

Data Tracking for a Multiplayer Game in Google BigQuery (Playwing) - case study
06.11.2024
Note: This article is over a year old. Some information may be outdated. We recommend reading the latest documentation or talking to one of our experts.

While Playwing, a European video game development was working on a new free-to-play multiplayer game with hopes for global success, it recognized the need for a solid tracking and analytics system to provide their development team with a clear understanding of player behavior and monetization potential.

In collaboration with OPTI, Playwing developed a tracking system in Google BigQuery and Data Studio, contributing to the game’s successful launch in the global market.

For a detailed look into our solutions explore the full case study here.

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Quick Questions

What is the TLDR (conclusion)?

This project focused on building a scalable gaming analytics pipeline. The core challenge was to ingest massive volumes of event data from the game servers into Google BigQuery and then use Looker Studio to create real-time dashboards for the development team.

What technologies and methodologies are involved?

Technologies: Google BigQuery, Looker Studio (Data Studio)
Methodologies: Gaming Analytics, Business Intelligence, Data Warehousing, Data visualization

Nicolae Amarghioalei

Article written by

Nicolae Amarghioalei

Customer Success Manager. Cloud and Onboarding Specialist.

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