Big data has so much exceptional use once it is processed, since there is a lot of potentially invaluable information in them. However, it should be refined once it’s acquired, and from there, it can turn into catalysts that could revolutionize an entire industry. One of the most prominent industries today that massively benefitted from processed big data are online entertainment products and platforms. Since then, entertainment has gone through significant trends which then redefined the way the public can consume and enjoy the experience from the products. Look out for these improvements born out of refined data in online entertainment!
Data-driven content creation
Content creation with the input from these specialized and refined data in mind can offer impressive results in online entertainment products today. Metrics derived from all kinds of activities in online entertainment media can easily translate to insights that might help improve a product’s current state or even develop a new product entirely.
There are a lot of online entertainment products that amass broad information for processing. Possibly the most prevalent online entertainment media that could harness this trend properly are online casinos. Digital or mobile casinos such as betway collect login data from users during their sessions. Once there is substantial data collected from the sessions, the platform can harness this to create unique experiences for patrons.
Big data refined in online casinos can usually turn into lucrative and entertaining opportunities for players! For example, by examining the player’s behavior when playing online slots, a platform such as betway can give out coupons that are personalized for players according to the recorded data and habits that the algorithms interpret. This ensures that players can always expect changes and improvements whenever they play. It is also a form of incentive for the player.
Outside online gambling, another industry that makes use of the information in big data is the esports community. Organizers use audience engagement metrics to optimize schedules, formats, and even in-game features, ensuring a better experience for players and spectators alike.
Optimized advertisements
Algorithms can now easily profile their audiences from analyzing big data and since then, it has revolutionized how advertising works. Advertising using online entertainment has become much easier because of sophisticated interpretations and breakdowns of big data. One of the biggest entities that use this is the video streaming platform Youtube. Video ads on the popular platform can turn up before playing the actual video selected. These ads have a very high chance that it falls in the interest of the user’s viewing habits because of refined big data.
This isn’t limited to video streaming sites. In fact, music streaming platforms such as Spotify utilize this effectively for music fanbases. For instance, a music streaming service might use listening data to target ads for upcoming concerts by an artist a user frequently listens to.
Big data will always have the potential to improve products and services and it has evidently helped the online entertainment space. And if it can work for big online media entities, it can also work for other industries!
