Assess End-User Needs with Digital Experience Management
Lakeside’s Digital Experience Cloud, powered by SysTrack, uses intelligent edge architecture to gather more than 10,000 individual data points every 15 seconds directly from endpoints — regardless of location or type. This volume of data then provides greater insight into all the applications a user is running at any time, the amount of resources the application is consuming, and the applications in “focus,” meaning the app is actively being used.
But, of course, looking up individual users to determine who needs a device refresh isn’t always efficient, which is why the SysTrack platform uses dashboards to also identify over-provisioned and under-provisioned machines across the digital environment as well as by groups of users.
From there, you can explore individual machines, whether physical or virtual, by double-clicking a section of the pie chart. This same dashboard can also be used to help right-size your virtual environment, a method that helped one Lakeside customer save €1.5 million annually. (But that’s another blog post.)
Again, the real power of this kind of data analysis is that it shows a user’s actual resource consumption. This is not based on a synthetic transaction or normalized data for a group of employees — SysTrack evaluates necessary factors to help determine what the optimal resources are for that individual user.
Further analysis can be done to compare this user with employees who have a similar job function. Additionally, you can review which applications are critical for a user or job function thanks in large part to application focus. This metric shows applications that are in use at any given time, which can be far more useful than just knowing what applications are loaded. For instance, a user might have many applications on their device, but the application they’re focused on is the one they are working on now.
Can’t Always Get What You Want, But You Get What You Need
By using Lakeside’s Digital Experience Cloud to expand IT visibility of resource consumption, organizations can right-size their user environment based on objective data — not traditional cycles, guesswork, or requests.
Sure, users will always want to newest, fastest, most modern device, but often the needs of the job do not warrant it. And just because a machine is running slow doesn’t mean it needs to be completely replaced — not when IT teams also have Lakeside Assist and other tools available for quick remediation and proactive IT support capabilities.
Quantitative analysis removes that human factor from the equation, allowing IT to strategize only necessary, more cost-efficient hardware refreshes.