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Salesforce Analytics for Analytics Newbies - Analytics Studio


Preparation!

The newest Superbadge title is: Einstein Analytics Data Preparation Specialist. Take a hint from the Trailhead Baby, and spend time preparing before you tackle this badge.  (Also take time to prepare before going for a swim.  Do you like my hat?)  I completed the prerequisite modules, started the superbadge, and after two days of head scratching and excessive milk drinking... I went back to the basics.  What foundations of analytics are critical to understand before becoming an Einstein Analytics Data Preparation Specialist?  Let's take a look!

Note- Hopefully you have a better background in analytics than I.  The first time that I opened the Analytics Studio was to prepare for this superbadge! The goal here is to explain analytics in "baby terms," or, as my mom likes to say: "If you can't explain something to a Kindergartner, then you don't really understand it."


1. The Analytics Studio is an app.  Just like any other app, you access it from the App Launcher.  Not surprisingly, you can regulate access to analytics - Permission Set Licenses control overall access with permission sets for specific tasks.  This is similar to having access the Sales app, but needing a specific permission set in order to "modify all data."  What do you need to know for the Superbadge?  Take the prerequisite module: Analytics Administration Basics or read Assign Permission Set Licenses for Einstein Analytics


2. Think of an analytics "app" like a folder - a place to store stuff just like a standard Salesforce report or a dashboard folder.
3. Lenses are a view into data.  Similar to a report, you can add filters, chart types, etc.  This is a very simplified definition of lense capability!  Explore more information regarding lenses on help.Salesforce.com.  Navigate to the link then click down thru the categories for additional documentation.

Want to dive deeper? Check out Trailhead's module for Analytics Dashboards.

4) Datasets - A dataset is simply a group of data.  More on datasets with the next post- when we go into the data manager.


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