Dashboard is a visual graphical interface that should give complete global information to the users at a glance. The information for each dashboard can vary in content and data structure, depends on the business processes of the company or organization. Furthermore, the same business process with different target viewer may need different information displayed on its dashboard. Information placed in a dashboard need to be organized pretty well. It consumes time, because there is a need to analyze information to be placed, data to be chosen, visualization that fits the best practice to display the data based on its characteristics. The main objective of this research is to simplify the task of customizing dashboard, so there are some features offered: 1) suggested data to be displayed based on data source, 2) suggested chart that met the best practice for visualizing data, and 3) saving the preference of the user after doing some modification for the dashboard display, such as coloring and positioning. All of these features are fulfilled by utilizing the best usage of metadata, which grouped as metadata for data source, visualization, and user’s preferences. This reearch came out with an application that can extract metadata to help user choosing the relevant information to be displayed, suggesting chart for data representation, and save user’s preferences display.