Getting Started with Salesforce Einstein Analytics

Many enterprises leverage Salesforce for its native reports and dashboards to understand their data and performance. However, over the last few years, with “the volume of  customer data has been growing exponentially every day, exploring data manually has become a bigger challenge” (click here to read more). 

Salesforce Einstein Analytics was created to solve this challenge. 

Einstein is a powerful business intelligence platform that allows users to analyze, aggregate, and visualize both Salesforce and non-Salesforce data effectively. In this blog post, we tackle what your team needs to know to get started with Salesforce Einstein Analytics. We cover how to set up your Einstein instance and other configuration basics, including: 

    • How to assign Einstein Analytics licenses and permission sets in Salesforce 
    • How to enable Einstein Analytics in Salesforce
    • Five features to consider enabling when setting up an Einstein instance 
    • The benefits of enabling DataSync in Einstein
    • What Apps, Datasets, Lenses, and Dashboards are 

Before we dive in, let’s look at the necessary planning your team should complete before enabling Einstein. 

Planning for a Successful Einstein Implementation 

Before your organization even enables Salesforce Einstein Analytics, first consider: 

  • Who internally will own Einstein? (Einstein Analytics Admins) 
  • Who will use the Dashboards/insights? (Einstein Analytics Users)

Should a Salesforce Admin Own Einstein? 

Determining who will own Einstein as a platform is crucial. Often organizations will assign this responsibility to one of their Salesforce Admins. However, an Analyst team member(s) who has experience turning stakeholders reporting needs into technical requirements is often better suited for this task. 

In an ideal state (and with proper design), Einstein Analytics is a self serve analytics tool that empowers end-users to answer their questions. Selecting a team member who has the correct experience is key to building a roadmap to achieve this goal. 

Understanding Your Audience 

Einstein facilitates enterprise-wide visibility into Salesforce data as well as other data sources, like ERPs or Date Warehouses. The app-based design of Einstein Analytics makes it easy to ensure users get access to what they need for their specific role. 

Before enabling Einstein, understand which departments or teams will be leveraging Einstein and what insights they’re looking for. 

How to Assign Einstein Analytics Permission Sets in Salesforce 

The first step in setting up an Einstein instance is to assign permission set licenses and permission sets to users in Salesforce. Einstein comes with two premade permission sets: Einstein Analytics Admin and Einstein Analytics User. Your team can also create custom permission sets based on these to suit your organization’s needs.

A permission set license gives a Salesforce user the ability to access features related to Einstein Analytics. The Einstein Analytics Permission Set defines which features in Einstein that user can then access.

How to Enable Einstein Analytics in Salesforce

In Salesforce, go to Setup and search for Analytics and click Getting started. From here, enable Einstein Analytics for your Org. 

Einstein_screen1

Next, click on Settings in the search pane. If you enabled Einstein Analytics prior to the Winter ’20 release, a very useful feature to turn on is Data Sync (the first checkbox). If your organization enabled Einstein Analytics after the Winter ’20 Salesforce release, then Data Sync will be automatically turned on. 

Einstein_screen2

When Data Sync is enabled, it automatically syncs Salesforce data from connected objects on a separate schedule. This helps speed up many features in Einstein Analytics. Under the Settings section of Setup, there are five useful features that we recommend your team considers enabling. Here is a breakdown of these five features (to do this, check the box beside the feature as seen in the image above): 

  1. Analytics Templates: This allows other users to build apps based on a templated version of existing apps. This provides massive time-savings when a new app needs to be created but also maintains design consistency or certain data points.
  2. Email Subscriptions to Einstein Analytics Dashboard Widgets: This feature is currently in beta, but it allows users to subscribe to dashboard widgets and for changes in metrics to trigger an email notification.
  3. Data Blending In Einstein Analytics Explorer: This is another beta feature, and it allows users to access the Data Blending feature in any Lens. This is important because it lets users combine data from multiple related datasets at time of analysis, without having to use a Recipe or Dataflow (we’ll talk more about Recipes and Dataflows in our next Einstein post). 
  4. Einstein Analytics Direct Data for External Data Sources: This allows users to query external connected data sources directly from the source. This eliminates having to create a Recipe or Dataflow that pulls data from the source into a new Dataset.
  5. Inherit Sharing from Salesforce: This enables the option for created datasets to inherit sharing and security settings from the base Salesforce object. This feature is useful if you want to maintain the same data visibility for Einstein users as in Salesforce. 

How to Launch Analytics Studio 

Now that Einstein has been enabled, to launch Analytics Studio type “Analytics Studio” into the search bar in the App Launcher and it will launch in a new window. Down the line, your organization can also embed Einstein dashboards directly in a Salesforce page so that users can view their insights without having to leave the Salesforce environment they’re used to.

Einstein Analytics: Key features and Concepts

Now, let’s review some of Einstein’s key concepts to help your team get started with Salesforce Einstein Analytics. 

Analytics Apps

An app is a container that holds all assets related to a certain project, department, or team. Each app can contain Dashboards, Lenses, Datasets and Stories. 

Datasets

A dataset is an Einstein Analytics version of a data table. It is denormalized, which helps with query speeds.

Lenses

A lens is a tool that users can use to explore datasets to answer single business questions or better understand what the data looks like within. Explorations that are done in lenses can be saved and even added to a Dashboard.

Dashboards

A Dashboard is a collection of dashboard widgets (aka lenses) that, when combined, tell a story that is relevant to the end user. Dashboards have many advanced features like Interactions, Faceting, Filtering, etc. that allow end users to harvest insights by drilling down, grouping, and pivoting data to their needs.

Trailhead: Getting Started with Einstein Analytics 

Now that you have a general understanding of apps, datasets, lenses, and dashboards, Trailhead is a great way to level up your understanding and skills. Check out the Salesforce Einstein Basics module for a free way to learn more about getting started with Einstein. 

Wrap Up  

We hope this post gave you actionable insights on how to set up and configure Einstein as well as an overview of some of the platform’s fundamental features. Stay tuned for our next Salesforce Einstein Analytics post that will tackle Dataflows, Recipes, and how to prep your data for Einstein. 

If you have any questions about this blog or how to leverage Einstein Analytics to solve enterprise business challenges, reach out today

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