What Do Data Analyst/Scientist(s) Do in The Gaming Industry?
With the evolving era of the gaming industry, new formats of gaming have emerged – PC, mobile, console, VR, blockchain and many others. The role of a data analyst/scientist(s) in the gaming industry is crucial to understanding gamer’s user data – behaviours, play time, interactions as well as, supporting gaming companies for actionable insights.
Through these insights, gaming companies can better position their games in the market and design more immersive games to augment their capabilities in the gaming industry.
We have provided some useful information to help you understand the role of a data analyst/scientist in the gaming industry.
One of the key roles of a data analyst/scientist in the gaming industry is collating data for gaming companies and interpreting this data into actionable and succinct results.
Gaming companies have a lot to understand about the performance of a game release, the gaming community surrounding their game and so on. With the number of variables involved in the gaming industry, analysts can provide useful information by focusing on relevant data that is important for the overall performance of a game.
Data analytics is vital for gaming companies to determine the best strategies and models to follow through the lifecycle of a game. Understanding the behaviours of users is not an easy task, as it requires a lot of technical knowledge and experience in data.
Tracking KPIs (Key Point Indicators)
To measure a game’s overall performance in the market, there are key questions to be considered – What is the number of daily active users in a game? How many active players? The number of new users?
These questions are based on key indicators for the performance of a game – daily active users, monthly active users, and average revenue per user.
A data analyst’s role is to calculate and visualize these metrics so that gaming companies can develop more effective strategies.
In addition, a data analyst also tracks key trends of users – albeit positive or negative. This ensures players have a great experience throughout the lifecycle of the game.
Enhancing the Gaming Experience
Another key role for a data analyst in the gaming industry is to assist the overall gaming experience for users.
Designing and building interactive, complex scenarios for games requires a lot of creativity and technique, however, there is a proper need for understanding what works best for the audience the game is targeted towards. Thus, the role of a data analyst!
Data analysts help gaming companies identify problematic/defective moments in the gaming experience for users. Data can show where levels in the game require a bit finer tuning to accommodate for a better user experience.
Historically, players were measured by their game duration. However, with the role of a data analyst, players can be distinguished based on their performance.
Analysts have helped to shift the focus to create an ecosystem where players can gain experience depending on how well they play. With this shift in measurement, player communities are built and nurtured consisting of players with similar interests with the overall goal of improving their gaming experience.
Data analysts also assist gaming companies in the aspect of monetization for their games, especially to assist in the areas of adjusting their monetization strategies.
Collating and interpreting data on users and their gaming behaviours, enables analysts to improve the ROI (return-on-investment) for gaming companies in the market as well as, ensuring game creators deliver a personalized user experience for gamers.
Also, analysts ensure gaming companies are effectively utilising their resources strategically to improve their product and better compete in the market. Analysts measure available data to make better decisions when it comes to marketing, as well as understand the value of a game so it can be improved.
In this way, data analysts/scientists help the gaming community in improving user experience and gaming companies to make better informed decisions.