Some fail to see the value of network monitoring and real-time data analytics. Network monitoring isn’t a cure for everything, but statistically, it sure beats sticking your head in the sand and hoping for the best.
In an Aberdeen Group study on analyzing real-time network data, they found that businesses that do have analytics in real-time about their network performance are:
• 2.7x more likely to prevent network issues before users are impacted
• 2.25x more likely to have error-free transactions
• 4.6x more likely to see significant reductions in end user complaints about network performance
• 2.5x more likely to have optimal network performance as compared to businesses that don't
Without this high visibility into network performance using real-time analytics, organizations risk operational inefficiencies and decreased effectiveness. Key performance indicators (KPIs) such as mean-time-to-restore/repair are often cited, but what are the repair costs and what are the internal costs associated with the outages?
While associating direct costs and impact due to network outages and disruptions may be difficult and even subjective, dependence upon the converged network continues to grow. Seemingly, there are best practices and methods to avoid network disruption including monitoring and application-aware performance metrics such as those from Fluke Networks.
Each company may suffer a range of economic impacts depending upon their degree of network dependency and how network outages, disruptions or performance issues affect workflows. Companies tend to address the IT approach of hardening the network and employing various strategies. What is the real cost associated with this, and what are the real costs associated with network issues?
Kicking the can seems to be a way to avoid addressing or analyzing the true dollar impact of network issues. The Aberdeen Group study highlights that without analytics, companies not only kick the proverbial can but also that they do so with elevated risks - and these risks come with a price.
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