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LakeSide SysTrack Use Case: Windows 10 Migration

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LakeSide SysTrack Use Case: Windows 10 Migration
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In June we launched a new blog series called “SysTrack Use Case.” The first post in this brand new series explored how SysTrack could help with investigating user reports of a faulting or crashing application. Each post in the ongoing series will discuss a new use case to help provide a wider perspective on the different IT projects and challenges that can be addressed with SysTrack. The follow up to the first post comes at the same time that Lakeside has released new content around the Windows 10 launch, and that gives us the perfect opportunity to explore the best way to consume that content and get the most of SysTrack before and after your Windows 10 migration. We’ve released several blog posts in the past few weeks dealing with Windows 10, so here we’ll try to take a succinct look at the basic phases of a migration and how SysTrack can help with each.

Going into a large migration project without properly developing a plan first is a recipe for disaster.  Any IT administrator will tell you the same. That’s why gathering data about the environment is so crucial; simply estimating the resources needed or the readiness of the environment for a migration won’t work. You need objective analysis. With Windows 10 hitting the market we wanted to help our customers prepare for the upgrade. A good place to start is understanding the value of Windows 10 and how it could help your organization. We recently released a whitepaper that discusses, in detail, the benefits an upgrade to Windows 10 can provide. Having a solid understanding of why the upgrade is a smart decision can start the whole project off on a good note.

Read the entire article here, LakeSide SysTrack Use Case: Windows 10 Migration

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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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