Search is not only the most user-friendly interaction approach, but also the most efficient way to obtain information. Compared with the previous generation of drag-and-drop BI products, it not only has advantages in processing complex data sets and analysis logic, but also has a better experience for exploring different data scenes.
The real data analysis does not start with drawing, but starts with exploring the data. The chart is just a way of carrying information. The visualization logic of DataFocus Cloud is to let graphics adapt to data rather than data adapt to charts, Therefore, users only need to focus on the data, and the chart visualization is just a natural product of your analysis logic.
The data Kanban function of DFC has rich extensions. It can not only quickly develop the Dashboard through the system's own data and Q & A, but also access external API data and develop a mixed large screen.
Through visual drag and drop design and rapid arrangement of operators, develop data processing workflow and set timing tasks to prepare data for analysis.
Link all data with abundant API plug-ins. Users can also develop corresponding API plug-ins by themselves.
The self-contained data lake module in DataFocus Cloud can flexibly extract data from various databases, and can also read various streaming data through API interfaces.
Find common patterns from the data and leave 80% of the exploratory work to DFC.
H5 based pages can be well adapted to mobile devices such as smartphones or tablets to form a exquisite mobile display effect.
Visualization is not the end. Output analysis results to the business system through the data bus, form closed-loop data feedback, and improve your business
DFC can also be deeply integrated with other software, offering your users a seamless experience.
After several rounds of strict security testing and cooperation with mainstream cloud manufacturers, system security is guaranteed.
