As users interact with apps they generate data. This is the data apps often require to save or access to function properly and offer the best user experience possible. This data includes personal settings and media as well as other documents. This information can be used to track clicks and product purchases within the application. There are many ways to get this data that include asking the user to provide it, determining it based on on-site behavior or purchasing it from a third party. The ideal customer data should be centrally stored and in a standard format that permits easy integration and exchange between applications. There are currently emerging customer profile standards by industry sector to help define the data click now model to be used to accomplish this.
There are many different methods to store data. The storage system used in an app will influence the way in which the user interface is presented. The most popular is file storage, in which the data is saved as folders and files, which are organized in a hierarchy. Hard disk drives and cloud storage such as Google Drive or Microsoft OneDrive employ this method. Another method is block storage, in which the data is divided into blocks which can be saved anywhere on the storage infrastructure with identifiers allowing them to be easily identified and acted upon.
Early systems offered built-in tools that gave specific information on the properties of the storage medium in a textual format. Modern systems, such as Android, offer visualizations to help with these functions, specifically capacity/usage and longevity. Capacity/usage visualisations are usually horizontally stacked bar charts. Lifespan is usually displayed as a circular pie chart as well as its variants like doughnut charts.
