Intelligence Use Case: Dashboards for IT Operations

Welcome to the first post in this blog series which will cover the Top 10 Mobile Device Use Cases for Workspace ONE Intelligence.

Use cases 1 to 4 cover how to improve IT operations and reduce the amount of work required by the IT teams. We’ll review the importance of our dashboard and automation tools, as well as integrations with other third-party platforms, to highlight the flexibility of Workspace ONE Intelligence.

Dashboards for IT Operations

The first use case is Dashboards for IT Operations. One of the most important aspects of Endpoint Management is proactive monitoring. Here are some questions we would typically run into when deploying and managing devices.

How does our device fleet do overall?
Can we deploy these business-critical applications out to devices in a timely manner?
How many devices are potentially susceptible to attack because of a zero-day vulnerability?
What is the latest status around specific issue remediation?

From a Workspace ONE UEM standpoint, there is built-in reporting that can answer some of these questions. However, it can be quite cumbersome to produce reports and visualizations for our businesses and leadership teams. In a lot of cases, it requires us to export raw data, throw it into our favorite spreadsheet tool, aggregate it, and create a visualization which is not the most ideal way to spend time as an administrator, especially if we are dealing with potential security issues.

Workspace ONE Intelligence Dashboards

With the Workspace ONE Intelligence Dashboards feature, we can create visualizations for our device fleets within minutes. Based on the reporting data that we are looking for, we can aggregate data in our preferred diagrams, and build a dashboard to share with our business teams and leadership or use this information to diagnose any issues we may not be aware of so that we can remediate it.

First off, if you are looking to take advantage of the Workspace ONE Intelligence Dashboards and do not know where to begin, there are built-in dashboards and templates to help us get started. VMware is also constantly adding more templates and assists us in creating insightful visualizations for different use cases. The following screenshot shows a part of the built-in default Mobile Device Dashboard.

Figure: Partial built-in Mobile Device Dashboard in Workspace ONE Intelligence

Custom Dashboards

Aside from the built-in dashboards and templates, you can create your own dashboard to meet your needs. For example, I am interested to see the overview of how many mobile devices in my organization have the required security profiles installed (passcode and restrictions in this scenario), as well as device compromised status as we are actively rolling out devices. From there, I created a dashboard including different widgets showing the profile install and compliance status breakdown for each mobile platform.

Figure: Custom dashboard tracking device compromised status and security profile installation

From this dashboard, I can see that there are still a sizable number of devices that do not have the Restrictions Profile installed. This alerts me to further investigate the Workspace ONE UEM console to understand why this happened. Of course, in this case, you can view this information in the Workspace ONE UEM console as well, but this gives you a much better visualization with just one glance.

Risk Analytics

The next example here contains data not readily available in the Workspace ONE UEM console. This dashboard contains Risk Score data, which is calculated from device states using Machine Learning. This shows another benefit of Workspace ONE Intelligence. Because Workspace ONE Intelligence can integrate data from other sources (e.g., Workspace ONE Access, Intelligence SDK, Trust Network) and provide a more advanced data format (e.g., time-series historical data, ML-based derived data), it allows us to visualize and gain insight into information unavailable in other sources.

This Risk Score dashboard contains the Risk Score data. (Duh). This is calculated from data collected from user and device behaviors and categorized into different risk levels. It can be used to quickly help identify potential bad actors within our environment and allow us to address them before it is too late.

Figure: Custom dashboard tracking device risk analytics

I will cover Risk Analytics in more detail in an upcoming post (use case #7), including building remediation flow to help address devices or users with high-risk scores. In the meantime, see Risk Scoring (Workspace ONE Intelligence Risk Analytics).

Look out for the next post in this series, Intelligence Use Case: Automated Device Lifecycle Management.

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