With our recent release of Warehouse Connectors, we’ve made it easier than ever to automatically pull data from your source-of-truth warehouse into Mixpanel to analyze and glean insights from. This allows teams like product, marketing, engineering, design, and others to all effortlessly visualize their users’ behavior and analyze results from releases, campaigns, and other initiatives. And that means more teams throughout the org can use Mixpanel to make better decisions about building their next solutions.
But with all this extra data coming into Mixpanel, won’t it be a little too easy to get lost in the chaos when team/function/location-specific events and properties all live in the same place? A marketing team might not want the plethora of events being tracked on the product team’s instance to interfere with their campaign analysis. And a sales team might get lost looking for their customers’ recent activity when sorting through the design team’s events and properties.
Don’t worry, we’ve thought of this too.
Data Views: A cornerstone of data governance across teams and projects
As a tenured customer account manager at Mixpanel, two of my personal favorite and most underrated Mixpanel feature sets I get excited to show off are Data Views and Data Classification, both of which make it easy to painlessly practice data governance—one of our foundational principles—across your org, regions, or apps/platforms. I am often surprised by the number of Mixpanel customers who are not aware of Data Views and Data Classification, so I’m looking to solve that with this post.
But how do they work? Well, I’m very glad you asked.
Now that you’ve set up Warehouse Connectors to pull cross-functional data across teams from your warehouse into Mixpanel, you can create a Data View (a mini Mixpanel project within a Mixpanel project) that will only display events and properties you’d like that specific Data View to contain—i.e., a marketing Data View containing only campaign/ad data, a sales Data View containing only customer data, a customer success Data View containing only North American customer data, etc.
