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Title
SEGA Europe builds a player sentiment analysis GenAI model and Genie One self-serve analytics on Databricks
…tes. How does SEGA Europe leverage generative AI for player sentiment analysis? SEGA Europe built a player sentiment analysis GenAI model on Databricks that translates and analyzes over 10,000 user reviews daily, enabling game developers to rapidly identify gameplay issues, optimize game me…
Description
SEGA Europe consolidated data from over 40 million players generating 50,000+ events per second into Delta Lake with Lakehouse Federation and Unity Catalog, then built a generative AI player sentiment analysis model that analyzes 10,000+ user reviews daily to identify gameplay issues, and deployed Genie One for natural-language self-serve analytics, achieving a 10x faster time to insight.
…Databricks What challenge was SEGA Europe solving with the Databricks Platform? SEGA Europe needed to manage and unify an overwhelming volume of gameplay and operational data — ingesting 50,000 events per second from over 40 million players across 100+ titles — while eliminating data silos across marketing, sales and game development tea…
Company
SEGA Europe
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Sega CUSTOMER STORY Changing the game in player retention SEGA Europe uses Databrick…
Industry
Media & Entertainment
…and increased player retention across key game titles. Share this post Details Industry : Media & Entertainment Use Case : Analytics and Business Intelligence , Artificial Intelligence , Data…
Problem
SEGA Europe previously grappled with extensive amounts of data and data sources, with over 50,000 events per second from more than 40 million players across more than 100 video games, struggling with data integration, quality, and accessibility, and eliminating data silos across marketing, sales and game development teams.
…Databricks What challenge was SEGA Europe solving with the Databricks Platform? SEGA Europe needed to manage and unify an overwhelming volume of gameplay and operational data — ingesting 50,000 events per second from over 40 million players across 100+ titles — while eliminating data silos across marketing, sales and game development teams. How does SEGA Europe use Lakehouse Federation and Unity Catalog to unify its da…
Solution
SEGA Europe integrated all its data into Delta Lake on the Databricks Data + AI Platform, using Lakehouse Federation to query disparate databases including Redshift, BigQuery and SQL Server, governed by Unity Catalog for a single source of truth. Databricks SQL and Genie One let users across departments access data in plain English, AutoML let teams try out machine learning use cases within minutes, and the team built a player sentiment analysis generative AI model that translates and analyzes tens of thousands of user reviews daily.
…does SEGA Europe use Lakehouse Federation and Unity Catalog to unify its data? SEGA Europe uses Lakehouse Federation to query disparate databases (including Redshift, BigQuery and SQL Server) directly within Delta Lake, while Unity Catalog governs all data assets to establish a single source of truth for key operational metrics like active users and churn rates. How does SEGA Eu…
Business value
SEGA Europe achieved a 10x faster time to insight for business users with Genie One driving self-serve productivity, and its player sentiment analysis GenAI model analyzes 10,000+ user reviews daily to pinpoint and address game-related issues, significantly increasing player retention in certain SEGA titles.
…GA Europe achieve on Databricks? By adopting the Databricks Data + AI Platform, SEGA Europe achieved a 10x faster time to insight for business users, accelerated machine learning deployment with AutoML and increased player retention across key game titles. Share this post Details Industry : Media & Entertainment Use Case : Analytics a…
AI capabilities
Generative AI, Natural Language Processing, Conversational AI, Machine Learning
…tes. How does SEGA Europe leverage generative AI for player sentiment analysis? SEGA Europe built a player sentiment analysis GenAI model on Databricks that translates and analyzes over 10,000 user reviews daily, enabling game developers to rapidly identify gameplay issues, optimize game me…
Business functions
Sales, Marketing
…, outlines three pivotal areas where data significantly impacts business value: player experience, customer retention, and sales operations and forecasting. “By analyzing gameplay data, we can adjust game mechanics to enhance playabili…
Technology
Databricks Data + AI Platform, Delta Lake, Lakehouse Federation, Unity Catalog, Databricks SQL, Genie One, AutoML
…l Intelligence , Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Agent Bricks , AI/BI , Databricks SQL , Delta Lake , Delta Sharing , Genie , Lakeflow Jobs , Spark Declarative Pipelines , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Use case type
Analytics augmentation
…which allowed users from various departments to access data in plain English. “Databricks SQL provided a lightning-fast experience for analytics workloads. With AutoML, we can try out machine learning use cases as we think of them—wit…
Headline outcome
…able 10K+ User reviews analyzed daily via player sentiment analysis GenAI model 10x Faster time to insight with Genie One driving self-serve productivity Watch video SEGA Europe has undergone a transformative journey with the Databri…
Deployment model
Cloud (AWS)
…, Artificial Intelligence , Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Agent Bricks , AI/BI , Databricks SQL , Delta Lake , Delta Sharing ,…
Deployment options
cloud
…, Artificial Intelligence , Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Agent Bricks , AI/BI , Databricks SQL , Delta Lake , Delta Sharing ,…
