The relentless pursuit in exploring various options, keeping customers’ interest topmost in mind, makes the gaming industry one of the most successful revenue-generating businesses throughout the world. Whether it is about marketing or designing or for that matter localising its products, the gaming industry leaves no stone unturned in providing the gamers with a best gaming experience. Of late, they have gone one step ahead in their unyielding endeavour of providing the best products and services to the customers by being a frontrunner in the field of “Artificial intelligence.” It is nothing but a detailed and systemised collection of data which are used to enhance the future gaming experience. Let us now see how the Big data and AI helps the gaming industry to progress rapidly and steadily making it a successful and lucrative venture for the developers.
What for and how the data is collected?
The data is collected and maintained by the developers to estimate on various levels the needs of the customers and providing them exactly the same. As per a research-based article published in DATAFLOQ, 50 terabytes of gaming data are generated every day, thanks to 275 million active users. These users generally leave a big trail of data whenever they play a game, as they flow from various sources like social media, payment systems, in-game advertising, virtual goods, real time events and content updates. The big data so collected are used meticulously by the industry to give the customers a joyful experience with the games. The gaming industry in fact has an advantage over other sectors when it comes to collecting the data because the live data of every single player can be easily accessible here.
Behaviours collected through big databases:
The big database, collected by the developers, tracks various behaviours of the gamers and uses them to improvise the gaming patterns. These data ascertain how the customers play a particular game, how they interact, how much they spend and how they spend, how long do they play, with whom they chat, what genre they are interested in, how many levels they are able to go and so on. Once the behaviours of the customers are thus understood, the developers can come up with a better solution to thwart slip-ups, if any and make the games user friendly in every possible way by presenting the games to suit their styles. The information so collected is, therefore, very accurate and reliable more than predictive analytics. With the gaming industry adopting such a pragmatic approach, when someone intends to play Rummy online for real money or any other such online games, he can feel safe and secured as he knows he is provided with the best possible features.
Chopping and changings:
When a data is collected and analysed, it can be used to do necessary modifications in the game. For example, if it is found that none of the players are able to go beyond a particular level, certain modifications can be done to make it a bit easier. On the contrary, if it is found that the users are able to easily progress in all levels, necessary modifications can be done to make it a bit harder and interesting. Similarly, if certain aspects of the game are not favoured by the users, such elements can be abandoned by the developers. Again, if there are some elements in the game that prevent the users from being engaged with it, such bottlenecks can be chopped off. Likewise, the most preferred payment mode of the users and their ability to spend can also be ascertained and fixed.
Challenges involved:
It is not easier task to arrive at a conclusion as to what satisfies the customers. It involves a tedious process in length. The data gathered from external sources needs to be analysed against the online streaming data with historical stored data which will effectively conclude what the tastes and preferences of the customers are, their spending patterns and their level of satisfaction. This is possible only if the companies belonging to the gaming industry are able to provide uninterrupted playing sessions for the customers without which the behaviours of the consumers cannot be recorded properly. In the gaming industry, the online Rummy card game is one which effectively uses AI to its fullest potential, overcoming all challenges. As Bhavin Pandya, the co-founder of PlayGames24x7 remarks, “We gather massive amounts of data on players’ behaviour. All this helps to understand our player’s needs and wants and enables us to build experiences that our players just fall in love with.”
Conclusion:
It is thus a proven thing that big database when properly used and analysed can do wonders for the developers who can satisfy the needs and wants of the customers and cultivate a good rapport with them. The gaming industry has just taken a baby step in this aspect with many developers already started reaping good rewards. The big database AI, in short, is going to be the next big thing and soon the other industries will start following the foot-steps of the gaming industry.
