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Application Analytics

Application analytics is the process of capturing, analyzing and delivering meaningful insights from application usage and metrics within application delivery. Application analytics provides insights into the performance of an application by producing real-time analysis through visualization of data. The application insights analytics include IT operations, customer experience, and business outcomes. This allows enterprises to quickly troubleshoot performance questions and root cause issues in order to make needed changes for efficiency in real-time.

What is the difference between application usage analytics and application performance analytics?

Application usage analytics measures usage patterns. It allows developers to fix bugs quickly and build software that better serves users. It can also act as a mobile application analytics too. Application performance analytics helps enterprises identify the location and cause of performance problems in a network, server or application. It lets enterprises monitor performance across complex operational silos.

What is the best application of predictive analytics in big data?

Predictive analytics is when professionals use data, artificial intelligence, machine learning techniques, and various other statistical algorithms to identify patterns that help in the decision making of businesses. See the full article for more details.

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