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Are Real User Monitoring and Web Analytics Tools Similar?

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Are Real User Monitoring and Web Analytics Tools Similar?
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For enterprises that are going digital – offering business services and reaching customers online – web analytics tools such as Google Analytics provide real-time insights into user behavior, access patterns and conversion rates. Using a small JavaScript code snippet added to web application pages, these tools provide details of web usage patterns and trends.

While understanding user behavior is important, it is equally important to ensure that the digital experience of end-users remains exceptional in terms of service availability, responsiveness, consistency, and performance. Real user monitoring (RUM) tools provide IT operations teams with insights into the response times seen by users of the web applications. Although some RUM tools rely on agents installed on user desktops and others use network packet sniffers, the most common way to implement real user monitoring is using JavaScript code snippets added to web application pages.

Since both web analytics and real user monitoring tools use JavaScript instrumentation in web pages to collect metrics, a common question is: how are these two categories of tools different? This blog post will help you understand the objective and functionality of web analytics and real user monitoring tools, and how they address different needs. We will consider Google Analytics as a common example of a web analytics tool and compare it with eG Enterprise’s real user monitoring capabilities.

Read the entire article here, Are Real User Monitoring and Web Analytics Tools Similar?

via the fine folks at eG Innovations

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eG Innovations eG Innovations provides intelligent performance monitoring & management solutions that dramatically accelerate the discovery, diagnosis and resolution of service performance issues in virtual, cloud, and physical service infrastructures. Only eG Innovations offers 360-degree service visibility with automated, virtualization-aware performance correlation across every layer and every tier - from desktops to applications and from network to storage. This unique approach delivers deep, actionable insights into the true causes of cross-domain service performance issues and enables administrators to pre-emptively detect, diagnose and fix root-cause issues - before end users notice.
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