Business Case For Big Data Mining
Selected Case Study: Pokémon Go
Background of Pokémon Go
Figure 1: Logo of Pokémon Go
(Source: Pokemongo.com, 2017)
Pokémon Go is one of the most popular games developed by Nintendo that had seen over 80 million downloads till date on Google Play store (Pokemongo.com, 2017). The game had attracted players from all age group to roam in search of their favorite digital beasts. The game links real and augmented reality with the facility of using GPS and real life walking for motion in the game.
Web Services of Pokémon Go
Pokémon Go utilizes the facilities of internet, GPS, and Camera for providing an interactive gaming experience to the users. The GPS and internet facility acts as the web services of the game.
Internet usability: The game Pokémon Go requires registering via Gmail account or making an account in the game itself. After signing in, the game requires continuous connectivity to the Nintendo database server. The exchange of data via Internet connectivity results in display of Pokémon at various places around the user.
GPS: Global Positioning Service or GPS is used by Pokémon Go for locating the exact location of the user. The game shows the map of the user location with famous places and monuments as Poké-stops and Pokémon gyms.
Big Data Usability of Pokémon Go
The Pokémon Go had utilized huge amount of data for the creation and maintenance of the game activities. The game developers (Nintendo) had utilized large amount of data for creating the game interface, features and functionalities. The use of big data in Pokémon Go can be understood by the following points,
Big data in developing Game Interface: The user interface of Pokémon Go had utilized big data analytics for creating the interface. The various monuments and places that are very famous had been used as the Poké-stops and Pokémon gyms. Nintendo had tied hands with Google Earth and develop the game consist of maps of the whole Earth.
Big data for location of Pokémon: Nintendo had even used the big data analytics for the location of the Pokémon (Go & news, 2016). The game had analyzed the locality and developed the Pokémon as per the locality. For example- the water type Pokémon are found near water bodies, the grass type Pokémon are found near parks, and Pokémon like Pidgey and Markrow (flying type similar to pigeons and crows) are found all over the place.
Big data for the data of users: The Pokémon Go game had utilized big data for storing the personal data and game data of each of the users. The game uses the big data analytics for storing data of users such as Gmail id, Pokémon captured, Appearance of the character, Gym battles won, and many more information related to the game. Accoridng to Rider, Archer and Snipperclips (2017), the game had over 45 million daily users and the developer company Nintendo had used big data analytics for keeping the data of those users intact.
Issues of Pokémon Go
According to Macnonald (2016), Pokémon Go had been facing some major and minor problems like,
- Server issues
- Screen going blue and game being shut down
- People only able to catch only early line creatures
Go, T., & news, M. (2016). Three big data takeaways we can learn from Pokémon Go .
https://www.computing.co.uk. Retrieved 23 March 2017, from
Macnonald, C. (2016). Has Pokemon Go caught all its users? Millions have ditched the game. www.dailymail.co.uk. Retrieved 23 March 2017, from
Pokemongo.com. (2017). Catch Pokémon in the Real World with Pokémon GO! . Retrieved 23 March 2017, from https://www.pokemongo.com/
Rider, L., Archer, L., & Snipperclips Cut it out, t. (2017). Nintendo - Official Site. Nintendo.com. Retrieved 23 March 2017, from https://www.nintendo.com/