This post is part of a series of posts about analytics platforms that I would use and recommend using for game analytics. None of these posts were asked for or sponsored by any of the companies that own the platforms. My knowledge of the platforms comes from demos they made by my request or hands on experience working with them. My objective is to state what each platform offers and what makes it unique so that it helps game developers in the process of picking a platform if they choose to do so.
It is rather easy for me to speak about Omniata. It is part of Miniclip’s game analytics stack as I write this post. We’ve been using it for more than one and a half years now and it has served us well.
When we chose Omniata, we had a specific constraint we wanted to address. That constraint was the inability to create complex datasets for analysis that would answer complex questions. We wanted datasets of higher complexity without losing the ability of creating structured and organised reporting dashboards. That was our use case back then.
Since then we grew in sophistication and complexity and Omniata grew too. Although the fundamental offer didn’t change substantially, their vision of how they integrate in a complex data driven organisation is the most sophisticated I know of. Let me explain you how and why. Continue reading