You can choose to send BI for data visualization design. By deploying BI, enterprises can directly connect business data to visual reports through data warehouses. Using the theme visualization analysis template designed in advance, the business, technology and management personnel of the enterprise can make good-looking data visualization.
You can also use the rich visual charts in BI system to customize the title, size, color matching and specifications, and make different styles of data visual reports on different terminals such as PC, mobile and big screen. , fully analyze the business development of the enterprise and turn the data into information.
Data visualization-Pike data BI visualization analysis platform
Data visualization-Pike data BI visualization analysis platform
2. Choose a chart
The choice of charts is directly related to the visual presentation effect. Appropriate diagrams can transform the relationship between data into intuitive information, while wrong diagrams may lead the demand object in the wrong direction.
Visual Chart —— BI Visual Analysis Platform for Parker Data
Data visualization analysts must know all the mainstream chart types, know what analysis each chart is suitable for, and what information can be displayed. Such as line chart, column chart, etc. It is easy to show the development trend of things, but if you present the change trend of sales in a certain period of time on a pie chart, then this chart is meaningless.
3. Page layout
Analysts divide a complete page into different parts and levels to ensure that the data can be displayed completely. At the same time, designers should pay attention to the importance of dividing information. In the overall visual design, the core data indicators are placed in the most important position, occupying a large area, and the other indicators are scattered around the core indicators in order of priority.
Visualization big screen-Parker data business intelligent visualization analysis platform
Of course, in the actual visual analysis process, managers usually give more data requirements and require as much information as possible on the same page. At this time, designers need to divide the data into more levels on the basis of meeting the requirements of calculating key information, balancing layout space, simplicity and intuition.
Visualization big screen-Parker data business intelligent visualization analysis platform
4. Data visualization analysis
In the process of data analysis, many novices will have a misunderstanding, and often fill several screens with various visual charts, thinking that all information can be intuitively displayed to users. In fact, users don't need that much content. Compared with complicated information display, they prefer clear content design and clear key information at a glance.
Data visualization-Pike data BI visualization analysis platform
In addition, in the whole eye chart page, the colors should not be too rich, and it is best not to be too bright. Put colors with strong color contrast in key information, present changes with clear logic, highlight key parts, and let users have a better experience. This is what they want to see most.
Finally, back to the data analysis itself, analysts can choose to attach the information they get from business logic to the completed visual chart to help users better distinguish the meaning of the chart.