Home Data Center Lakeside Software: Three Strategies for Stellar Root Cause Analysis

Lakeside Software: Three Strategies for Stellar Root Cause Analysis

Lakeside Software: Three Strategies for Stellar Root Cause Analysis

Technological difficulties are an inescapable part of everyday life and they can be massively inconvenient. Just ask any of the United Airlines passengers from the hundreds of flights that were delayed earlier this year due to computer problems. In that instance (a notable, but not isolated example), the inability to quickly resolve a system issue directly wasted hours of people’s time all over the country. We see smaller examples of frustrating computer failures in our day-to-day lives, and the route to identifying and solving an issue is often fraught with turbulence.

These issues are so persistent that, in the Information Technology world, their resolution is an integral part of the success of entire organizations, and a full-time job for service desk professionals. Surprisingly, even at the professional level, many are unequipped with the technology to help them efficiently resolve issues at the source. Even the largest IT environments have simply replaced costly hardware only to find that the same issues keep arising, building mistrust and frustration in end-users. But it doesn’t have to be this way…

Root cause analysis: a better approach

Root cause analysis is the process of examining the underlying issues that caused an error in a system. In an IT environment, this means analyzing the specific hardware and software performance indicators at the time of the error, and determining whether it was user action, a hardware or software fault, or an external problem that caused the failure.

Read the entire article here, Three Strategies for Stellar Root Cause Analysis | Lakeside Software

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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