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Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
Product data management is the use of software or other tools to track and control data related to a particular product. The data tracked usually involves the technical specifications of the product, specifications for manufacture and development, and the types of materials that will be required to produce goods.
Application lifecycle management (ALM) is the product lifecycle management (governance, development, and maintenance) of computer programs. It encompasses requirements management , software architecture , computer programming , software testing , software maintenance , change management , continuous integration , project management , and ...
According to Martin Fowler, "Enterprise applications are about the display, manipulation, and storage of large amounts of often complex data and the support or automation of business processes with that data." [5] Enterprise application software is application software that performs business functions such as order processing, procurement ...
In the fields of information technology and systems management, application performance management (APM) is the monitoring and management of the performance and availability of software applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service .
Observed data – the digital footprint of internet users, i.e. search history or type of web browser used. Inferred data – conclusions based on a user's internet behavior. Declared data – data explicitly provided from users such as online forms or application sign ups. [1]