Social Gaming Solution
Whether you run a platform for smartphone games or social media games, you have two top priorities: quickly responding to user demands and building successful monetization models. Gain the insight you need into your gaming data with Karmasphere.Business Challenges
- Deciding how, when, and if to build new versions of a game rests on knowing gamers’ behaviors and playing patterns.
- Players expect design flaws to be fixed immediately – you just need to find them.
- Finding revenue opportunities means knowing who to build the next game for.
Promise of Big Data for Gaming
Improve the gaming experience by learning user patterns.
- Segment your users by gender, age, use patterns, spending patterns and stickiness to offer them features they’ll enjoy.
- Plan your game roadmap by forecasting most-popular features.
- Optimize the user experience by correlating game patterns with device usage logs.
Help game developers build better games by providing data and insights.
- Find game flaws by analyzing millions of game usage logs and error logs.
- Provide usage, purchase, and playing patterns to game developers.
- Enable game developers to embed insights into games to alter the experience.
Identify who is seeking new, undeveloped games to grow revenue.
- Discover new target users by focusing on those adopting new technologies.
- Learn where you can profit by cross-analyzing the buying behaviors and playing patterns of your users.
- See what kinds of games are popular, and who is playing, by examining social media, web, console and mobile game data.
Social Gaming Data Sources
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Playing patterns logs
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Purchasing and monetizing patterns
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Device usage logs
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Game error logs
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Cross-device game usage data
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Social media stream
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Transactional data
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Geo-data
Karmasphere for Social Gaming
Karmasphere provides a unified workspace to analyze multi-structured Big Data from internal and external sources, create visualizations, and gain valuable insights to share with colleagues and business partners.Analyze a wide variety of Big Data
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Analyze structured, semi-structured and unstructured data.
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Aggregate large volumes of product and usage logs.
- Cross-analyze traditional data sources with new, identified data.
Provide insights to both internal and external constituents
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Provide product managers with a self-service data analysis workspace.
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Enable developers to understand customer usage and embed insights into games.