We're thrilled to announce the launch of Gamehouse - a new Brickbuilder solution. This modern reference architecture for game analytics is the result of a partnership between Databricks and Lovelytics, and was designed to help game studios of all sizes level up their data and AI strategies. Gamehouse gives studios a best-practice framework for unifying ALL of their game and community data, creating a 360-degree view of their business that unlocks actionable insights for gamer acquisition, engagement, and retention.
For most game studios, the first step on their data and AI journey is setting up game analytics. Unfortunately, that's easier said than done. Games generate immense amounts of data from multiple sources, including game telemetry and backend services. Add in marketplace and platform data, along with information from sources outside the game, such as social media, and it's easy to see how analytics become complex, quickly.
The amount of data, and the speed at which it's generated, are only increasing. That leaves many game teams overwhelmed, and forced to operate within data silos. Data from various sources are fed into disconnected systems—think content management systems (CMS), customer data platforms (CDP), and others—each of which was purpose-built for a specific use case, and walled off from every other system. As a result, data is trapped, preventing teams from maximizing its potential. Data use cases that rely on or benefit from connected data, such as in-game personalization, become less productive, less efficient, and less effective. Innovation grinds to a halt.
Costs can quickly escalate when the data stack supporting the broader tech footprint forces the presence of data silos, where data is copied and stored in multiple places. We've reached a tipping point, where maintaining the status quo is simply too complex and expensive. (And remember, we're only talking about setting up game analytics!) For teams that want to segment their community by persona, run predictive churn models, or build automated next-best-action sequences, the unification of data is no longer 'nice to have,' it's essential.
Data is your studio's most powerful asset. But to leverage it effectively, three things need to be true; 1) It needs to be unified, 2) the right people need to be able to access it at the right moment, and 3) you need to be able to ask questions and get answers in real-time as the business scales. This is where many teams get stuck.
Let's look at the different types of data sources game teams have to work with:
Suffice to say, that's a lot of data. How do you know what's most important? Do you need all these sources? Or just some? And once you have the data—maybe you're accessing directly at the source—how do you bring it all together? Read on.
Game telemetry, game services, and the myriad of other available external-source data can be varied and complex to integrate. Fortunately, the Gamehouse reference architecture considers all the different methods for collecting that data, such as streaming, batch, and API. Gamehouse is designed to work with any cloud, including Azure, AWS, and GCP. So your team can make deployment even easier. Here's how it works:
Once your data is unified, stakeholders across the team will have access to a real-time, 360-degree view of what's happening in and around your game. Imagine what you could do with comprehensive insights. You might take targeted action to acquire new gamers more efficiently, leverage gamer feedback to improve the in-game experience, mitigate disruptive behavior to deepen relationships with your playerbase, and so much more. Here are a few examples of what a team can do with this Game Analytics dashboard:
Here is an example of the Gamehouse architecture in action. We have used this architecture to stand up a Tableau dashboard using a data set from World of Warcraft. Here, we've selected a set of core metrics that a fictional data team may want to review on a consistent basis. Metrics can easily be subbed out, depending on priority, or additional dashboards can be created for specific use cases. We encourage you to play with the filters, such as data range, map overlay, and more.
We can all appreciate the transformational power of AI and machine learning (ML). But most studios aren't ready to adopt more advanced analytics use cases, such as recommendations, churn modeling, and multi-touch attribution, because their data lives in silos. In order to effectively build toward more advanced data and AI use cases, your data strategy must FIRST leverage an architecture that enables it. That's where Gamehouse, Lovelytics' game analytics solution, comes in.
Simply by deploying Gamehouse, you're doing the hard work of getting your game data into a Lakehouse architecture that unlocks more advanced data and AI use cases.
To get started, head to the Lovelytics website and hit Connect With Us. Whether you want to stand up the dashboard yourself, or are looking for help, Lovelytics has the technical expertise to get you there.
Lovelytics is a services firm that delivers data, analytics, and outcomes that people love. As a Databricks partner—a recipient of the 2022 Innovation Partner of the Year Award—Lovelytics specializes in implementations and data, analytics, and AI solution development. With expertise in game analytics, Lovelytics has partnered with several independent, AAA, and AA studios to unlock all of their game and player data and improve player acquisition, engagement, and retention.