Create Functional Dashboards in Seven Easy Steps
Complex data is usually processed visually in dashboards in order to be able to capture trends, outliers or up-to-date data at a glance. The design of dashboards depends on important details. These details make the difference between whether the information is interesting for the target group and whether conclusions can be drawn from it or not. For example, a bar chart is better to capture than to work your way through hundreds of table entries. Dashboards are often used incorrectly and are hopelessly overloaded with numerous different charts and gauges, such as traffic lights, speedometers and hardly readable tables.
