Home Monitoring Lakeside SysTrack 8.3: Ultimate IT Visibility

Lakeside SysTrack 8.3: Ultimate IT Visibility

Lakeside SysTrack 8.3: Ultimate IT Visibility

The evolution of IT has necessitated changes to the model for organizations looking to understand the state of their end users’ experiences. With that in mind, Lakeside has developed three new ways of gaining visibility into the IT environment that are available in our latest release, SysTrack 8.3.

At Lakeside, we talk a lot about the importance of getting data at the source: end-user devices. Twenty years of experience working with IT Pros has shown us time and time again that endpoint monitoring provides the most objective and actionable data for IT.

While the endpoint is still at the heart of SysTrack, we’ve also come to recognize the value of having access to additional information beyond observable, quantitative metrics that come from real end user data. Subjective user experiences, artificial transactions, and industry comparisons can also play a role in rounding out understanding of the end-user experience and establishing performance baselines.

Experience Feedback – Intelligent Questioning and Reporting

One of the strongest parts of the SysTrack workspace analytics platform is the ability to collect a quantitative user experience score to give IT a more objective view of their supported systems. However, we’ve spoken about how end users are people with distinct needs and views on their IT experiences, and overwhelmingly we’ve gotten feedback that IT organizations are very interested in those subjective views. This led us to combine the quantitative with the qualitative using SysTrack’s Experience Feedback capability.

Read the entire article here, SysTrack 8.3: Ultimate IT Visibility

Via the fine folks at Lakeside Software.

Lakeside Software Lakeside Software is a leader in Workspace Analytics. We make SysTrack, a scalable, people-centric solution that helps organizations better understand and support end-users' computing needs and habits, as well as make sourcing and deployment decisions based on real data.

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