Big Fish Games

How knowing your customers keeps you ahead of the game!

Published on 1 Oct 2015

With IBM Analytics solutions, we are increasing customer engagement and loyalty, and attracting new users.

David Darden, BI Engineering Manager, Big Fish Games

Big Fish Games

Media & Entertainment

Deployment country
United States


Founded in 2002, Big Fish Games is the world’s largest producer and distributor of casual games, delivering more than 2.5 billion games to customers in more than 150 countries from a growing catalog. Big Fish is headquartered in Seattle, WA, with regional offices in Oakland, CA, and Luxembourg.

Business need
In the ultra-competitive mobile and online gaming industry, the ability to identify loyal clients and reduce customer churn are key factors to success.

With deep insight into customer behavior, Big Fish Games can now continually fine-tune existing games and the development of new releases to give audiences more of what they want.

By optimizing the player experience, the company enhances customer engagement and loyalty, and reduces churn; responding faster to changing trends in the marketplace boosts competitiveness.


IBM products and services that were used in this case study.

IBM BigInsights for Apache Hadoop, PureData System for Analytics

InfoSphere BigInsights Enterprise Edition, PureData System for Analytics (powered by Netezza technology), , , , , IBM Analytics, Smarter Analytics, Information Management Foundation, Data Warehouse, Mobile

Legal information

1 IBM Fluid Query provides query access and fast data movement between IBM PureData System for Analytics appliances and Hadoop, as well as access to structured databases and Spark. Fluid Query connects these appliances to leading Hadoop systems: IBM BigInsights, Cloudera, and Hortonworks. Fluid Query enables existing PureData applications to gain insight from more data sources by running queries and analytics against structured data in traditional databases like DB2, dashDB, Oracle and other PureData System appliances. Where performance is critical, use PureData appliances for production quality analytics, but now with more data options extending throughout your enterprise data environment.


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