First and foremost, data lakes allow gaming companies to store and process all of their data in one place. This includes different types of data from a variety of sources, such as player logs, in-game purchases, streaming data and even social media interactions.
Having this data in one place makes it much easier for gaming companies to gain insights and make data-driven decisions to improve player retention. This allows for more efficient and accurate analysis, as employees can easily access data as it is stored in a consistent format.
Moreover, tools like TRU Insight will plug into payment data to give your employees actionable monthly payment insights to better understand how they transact with your gaming customers.
Another benefit of data lakes is the ability to scale easily. As gaming companies grow, they often need to store and process more data. With a data lake, adding more storage and processing power is easy, as it is designed to handle large amounts of data. This allows gaming companies to keep up with the growth of their data and continue to gain insights from it.
Data lakes also offer cost savings for gaming companies. Traditional data warehousing solutions can be expensive and require a significant upfront investment. Data lakes, on the other hand, are often built on low-cost commodity hardware and can be easily scaled as needed. This allows gaming companies to save money on their data storage and processing costs.
In addition, data lakes enable gaming companies to store data in its raw form, meaning it can be used for both current and future use cases. This means that the data can be used for real-time analytics but also can be kept for historical reference or future analysis. This allows gaming companies to identify trends and patterns over time and gives visibility into the player’s journey, which can be used to improve the gaming experience.
Data lakes also enable gaming companies to integrate various data sources, such as social media data, into their analytics pipeline. This allows gaming companies to gain a complete picture of their players, investigate and understand player behaviours and experiences, and make better decisions to improve the gaming experience and increase player engagement.
Lastly, data lakes allow gaming companies to share data across different teams and departments, such as marketing and development. This allows for more collaboration and the ability to make data-driven decisions across the organisation and track the most important KPIs on performance, engagement, and revenue.