Game industry uses big data to improve gaming experience

Absrtact: EA Games has more than 2 billion video gamers worldwide. Every day, the company produces approximately 50TB of data. In the US market alone, the gaming industry is able to generate 20 billion of billions of dollars in revenue, of which about 2 billion dollars are derived from social game classifications.

In the United States, the game industry is bigger and faster than the film industry, which has a total box-office value of $8 billion a year. The gaming industry is making full use of large data technology and is optimizing the gaming experience by boosting the player's wide participation and earning more advertising revenue.

Improved Player experience

Like any industry, a 360-degree user vision experience is critical to the gaming industry. Fortunately, when players are playing a game, they leave a lot of data to facilitate the game company to track. Whether the game is an online social game connected via Facebook or an offline game played with Playstation/xbox, a lot of different formats of data are created when players start playing games. And all the operations they do during the game will create massive streams of data. This includes how players interact with each other, how long they play, who they play with, what time the player spends on the virtual product, and who the game is talking to, and so on. If a game profile is linked to a social network or a player is invited to participate in data statistics, the information about what kind of game the player likes in real life can be richer, and the game company can optimize the game according to the player's data file information.

These targeted game product data can provide a higher conversion rate. Just as the products recommended for users on E-commerce sites are based on the purchase data records of other customers, this method can also be used in the gaming environment of the virtual product purchase link. It is recommended that you have some features and that other players have purchased virtual props that can be based on the player's level in the current game. This leads to an increase in sales or cross-selling ratios and other additional revenue.

Data analysis shows that when a player is at the first level of the game, it is difficult, or that the easier it is, they give up playing the game. Game companies can use data analysis and research to identify bottlenecks and find out where most players fail. Or helping the game company find out where the game is going is too easy and needs to be improved. The analysis of millions of player data can help game companies gain insight into the most popular game elements and which game elements are not the most popular and need to be improved. Appropriate incentives in the course of the game are essential, and they need to be given appropriate rewards or props at the right time to encourage the player to continue playing the game.

Large data technology also helps to optimize game performance and improve player experience. For example, when a game's database and server have to cope with the sharp increase in the number of online players, it is important that the game company has sufficient server bandwidth capabilities. With large data analysis, game companies can forecast peak demand and equip the server bandwidth capacity of the relevant scale according to peak demand. This will definitely improve game performance and bring a better player experience (who would love a slow game?).

Provide a tailored gaming experience for players

Today, the development of different devices or game consoles (including tablets, smartphones, Xbox and PlayStation) can create a different gaming experience. After analyzing all the data, the game designer is given insights into the experience of players playing games on a variety of devices and provides relevant solutions to these differences.

Large data can also be based on an analysis of the needs and desires of the player, displaying customized ads for the player in a personal game. By analyzing all the data that the player creates during the game, you can create a 360-degree game document that combines the player's openness and social data to help the game design company better understand the players ' likes and dislikes. Using this information, you can only show the players the ads associated with their preferences during the game, resulting in higher advertising stickiness and more advertising value, creating more revenue for advertisers and gaming companies later.

With large data analysis, game developers can better improve the player's gaming experience, and then drive to earn more revenue and improve the game. Game developers should not miss the opportunity for large data, because it is a huge benefit to developers, so they can not ignore.

(Responsible editor: The good of the Legacy)