Data science as a course to pursue at the post-graduate level has boomed in recent times. With application across sectors and domains in the current scenario, it has become an essential skillset in any industry. And thus, be it policymaking, banking, finance, manufacturing or gaming, data science, as a discipline, is fast becoming omnipresent.
While all industries have transformed with the advancement of technology, the evolution of the gaming industry has been particularly exciting. Since its inception, gaming has been nothing but an upward scaling unit, matching sophistication in processes with the newest tech. However, what most of us might tend to overlook is the behind-the-scenes working of data science in taking gaming to the massive heights it has reached.
Any data science course involves machine learning, business analytics, econometrics and information systems. These courses equip you to apply your skills to extract relevant information from structured and unstructured data, and use them to predict future trends to drive strategy for the businesses you engage with. Courses like these teach you the social, political, economic, legal and business applications of data science.
When it comes to the multi-billion dollar gaming industry, data science acts as an added asset. People usually tend to associate the gaming industry with creativity and innovation, unaware of the multiple facets that are at work in this intricate web. Creativity holds one end of the fort, but development holds the centre. What ties the ends is identifying trends and analysing the gigantic amount of user data to aid in perfecting the other two processes.
By taking into account the last iota of insight from consumers, data science can help in building gaming models that are exciting and fun to engage with, and can thus enable the developer to build products that the audience wants, much like any other industry. Without this, the creator would be shooting in the dark.
Once you read and decipher the data on how your consumers are interacting with your game, you can understand your users’ psyche. You get answers to questions like what is the gamer response time, playtime, how long does it take to finish levels, how interactive is the game, and more. The technical/design modifications can then be made based on evidence rather than subjective assumptions, ultimately giving your audience the best user experience. And isn’t that what every service and product is about?
Moreover, the data also helps developers clearly understand how to market the game, by providing insights on one’s target audience and how to further interact with them, to launch it with dizzying success. For instance, after a user has played a game, data analytics can be used to understand his in-game behaviour - attraction to specific costumes, armour, social media feeds, etc - to show him related offers and customise the subscriptions based on his interest. All this helps streamline development and marketing costs, and also drives revenue.
With the staggering number of users amassed by it, gaming is no longer a niche sector. There is a vast amount of data that the creators can use to gather information and create stellar products. Having helped the gaming industry optimise like it has, data scientists have become extremely sought-after here. And gaming is certainly not the only unconventional application of this emergent and highly dynamic skill. Think of any field where consumers and other stakeholders leave a digital footprint, and data science comes into play.
So, are you ready to upskill yourself and become a part of one of the most challenging and exciting areas of our times?