Premium Analytics (Explore)

Owned by Chellie Esters
Last updated: Jul 06, 2020
4 min read

In addition to the ServiceChannel Standard Dashboards, Premium Analytics gives you the data to tell the story of your facilities operations. Users with Pro access in Service Automation Permissions have access to create custom visualizations and dashboards using hundreds of data points including (but not limited to):

  • your data from your work orders, such as tracking numbers, work order details, assets, invoices, proposals, NTEs;
  • your configuration, such as priorities, categories, districts/regions, statuses, location information, users;
  • your providers, both internal and external, along with check-in data, time onsite, performance, and many other data points.

A Note for Users

  • Data scientists and Visualization experts will find a deep playground of data points, custom fields, and table calculations with which to build stories. As your stories are, indeed, your own, this section will give you the concepts needed to lay enough groundwork to get you started.
  • For those who are neither data scientists or visualization experts — who simply love building reports — we have attempted to break down the information to get you started. We recommend recreating our examples to become comfortable enough to take the wheel on your own.

You can also take our self-guided learning (video) to walk through concepts and various examples.

Accessing Premium Analytics

Permissioned users will see Explore in the top menu bar.

⦿ How to access Explores in Premium Analytics

  1. From anywhere in Analytics, click Explore in the top bar. The list of ServiceChannel Analytics Explores appear, where you can query data from fields needed to build your visualizations.

  2. Click the desired Explore (for example, Workorders). You will navigate to the visualization build area. See Navigating the Visualization Build Area, below.

As Subscriber data differs, the full list of Explores may vary from what is shown above.


Why is the Workorders Explore Recommended?

The Workorders Explore has most of the data fields you would typically need to build a visualization, as illustrated below.

The other Explores — such as NTE Change-Audit Trail or User Level Metrics — are topic-specific and limited in both data fields and scope.

We recommend working with Workorders for your first visualization builds.

Navigating the Visualization Build Area

Before going into building custom visualizations, let us walk through the interface to help you become familiar.

  • Section A: Explore Menu. From anywhere in Analytics, click the Explore menu to navigate to the visualization build area.

  • Section B: Data Fields. Here, you will choose the data points to help you create your custom visualizations. This is the key to all visualizations. See Selecting Dimensions and Measures from the Data Field Picker for more information.

  • Section C: Run / Gear. After selecting your data and filters, click Run to see the visualization (Section E). Once you are pleased with the visualization, click the Gear icon to save your visualization to a custom Dashboard or Look.

  • Section D: Filters and Pivots. While manipulating your data (Section F), select the data from which to filter and pivot (from Section B) to hone into the data points you want to display in your visualization.

  • Section E: Visualization Area. When you Run data (Section C), you will see your visualization appear in this area. There are many types of charts and graphs to help you tell your data story.

  • Section F: Data. As you select data from the Data FIelds Picker area (Section B), it will appear here.

Thinking of the Visualization Build Area as a Workflow

Many sections in the visualization build area, indeed! Another way to think of this is in a step-by-step workflow:


Viewing the Explore as a Workflow: An Example

Once you figure out the story you want to tell in your visualization, use the Explore to help you build that story.

  1. Select the appropriate data fields.
  2. Review and refine the data.
  3. Run the data to see the first-draft visualization.
  4. Apply and refine filters and pivots.
  5. You may have to cycle between the data and the filters/pivots until you get what you want. Every time, click Run to see the updated visualization.
  6. Customize your final visualization with various layout options.
  7. Save the visualization on a Dashboard or as a separate Look.


 Click to expand this visual to see the above icons on the Explore Navigation...


Let's take a closer look at each section. First up:

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