It is undeniable that mobility is continuously evolving data landscape and offering numerous key benefits for organizations and businesses. In fact, visualized data in enterprises assists in monitoring, optimizing work processes, and making better informed decisions. Thus, for instance, new mobile technologies have largely contributed to data visualization.
One of the main problems of visualized information on mobile devices is a sharp reduction in the size of the screen compared to desktops and laptops. Big headlines and other graphic elements suitable for desktops and laptops can cause clear problems on smaller mobile devices. However, effective data visualization on mobile devices can be achieved, and here are some recommendations for this.
Follow the user’s needs
Before you begin any graphic design for a mobile screen, decide on the most appropriate format of the given information. For example, sometimes it is more convenient to replace some graphs with numerical representation. Also, understanding how users manipulate information gives developers more freedom in the choice of functional solutions to problems at hand. As a result, you will enable users better comprehend the presented information, thereby earning their trust and moving forward.
Take advantage of mobile devices
The mobile device as a platform to provide data has its own characteristics, for example, special capabilities for interactive graphs, flexible images, screenshots, multimedia, etc. That is why you will have to make your decisions accordingly.
Take into account the conditions of the visualized data usage
In data visualization for business applications and enterprise applications, take into account the environment and conditions under which they will be used. For example, if the user works night shifts, your design must take the lighting into account. In other words, keep in mind the convenience and comfort of your users, and you will be rewarded.
The strong and growing trend toward data visualization is expected to continue in the years to come, as more businesses seek better, more cost-effective ways to derive meaning from their big data. As a result, it will lead to greater business agility and a significant competitive advantage to move forward.