Application analytics can mean something different to every company depending on how they use it based on their requirements. The overall purpose of it is to identify ways to improve productivity of therap login development and maintenance by providing transparency based on visualized insight into enterprise applications. While the number of different application analytics is available to businesses but four fundamental types remain the most popular.
The first type of popular application analytics is the visualization of enterprise application. This type of analytics provides valuable insight into critical applications and databases as well as centralizing knowledge-bases for a variety of coding languages. It not only collects source files but also parses them to determine primary overall relationships among each object. This allows companies to reduce the inherent risk involved with source code changes, improves application team’s development efficiency, improves collaboration, and reduces the costs by implementing dynamic documentation.
The second type of analytics is known as source code quality inspection. This form of analytics provides companies with the ability to monitor and ensure application health during the early stages of development. It achieves this by checking the source code of the application with predefined quality rules. It also allows quality assurance teams to verify source code through a central server which makes expedites the quality control process.
The third type of analytics is source code quality vulnerability inspection. Instead of focusing on the quality of the source code this approach emphasizes vulnerability identification. This type of application analytics is useful because it utilizes predefined rules about security to ensure every line of code is safe. If there is a potential issue, it can identify the exact code lines which violate commonly held security rules.
The fourth and final type of application portfolio management is often overlooked as a form of application analytics, but it is ideally suited for businesses trying to bring greater transparency to their overall application portfolio. An effective use of this type of analytics allows businesses to score applications automatically based upon international standards. Not only does this provide an immediate vision of the entire application assets, but it also identifies potential areas of risk.
The above types of application analytics should be integrated with application change management system or application lifecycle management process. The key to maximize application analytics’ effectiveness is making the essential tasks of analytics are conducted in predefined process of application change management system.
