Data Analytics In Gaming Industry

2018 saw a further 43.4 billion dollars in the video game industry, 18% higher than in the previous year. It provides more dynamic, expansive formats like laptop, smartphone , tablet, VR etc. In this increasingly rapidly growing market. Data analysts and developers of business intelligence are becoming really helpful employees in gaming companies. 

This multitude of formats provides a torrent of user data from various sources: time to play, user interactions, points to be abandoned and gaming style are only a few of the parameters. Data analysts and BI developers can examine this and other information and transform it into valuable insight. This helps gaming companies to strengthen their positioning, create more engaging games, have more personalisation and, equally significant, produce more income.

Let’s consider three most popular ways of how today’s gaming companies are augmenting their capabilities with data analytics.

Tracking Major KPIs

In their attempt to measure the overall performance of a game accurately, the creators must inevitably answer pressing questions. How many successful regular users are interested in a game? What are the number of active players per month? Have new users been there last month? If so, how many, how many?

These issues are in line with the most important KPIs in game analytics, such as DAUs (daily active users), MAUs (monthly active users) and ARPUs (average user revenue). Data analytics and BI tools can help to calculate these and to visualise them. In fact, businesses can better understand the causes for ups and downs of a game and create more productive tactics.To understand these KPIs, it's beautiful to use data analysis to follow certain positive and negative trends. For eg, if a game draws new players every day, there is an incremental improvement in the possibility of any of them upgrading to a paying account (if there are others). Furthermore, degrading MAU rates may speak of an emerging user attrition which, if detected on time, can still be stopped.

Bibliography :

faizan4it, n.d. [Online]

Available at: https://www.smartdatacollective.com/online-gaming-industry-uses-big-data-analytics-grow/

Yurevich, K., n.d. [Online]

Available at: https://www.datanami.com/2019/08/29/data-analytics-streamlines-gaming-industry-heres-how/