With the advent of the era of big data, the demand for data has shifted from an "IT-led reporting model" to a "business-led self-service analysis model", and visual BI tools have also emerged. Faced with so many visual BI tools, what criteria should we use to filter out the most suitable visual BI tools for enterprise business?
1. Data security
First of all, regardless of the visual effect of the visual BI tool, the security of the data is the first issue for users to consider. Which data is visible to whom, and which data is not visible to whom, these require careful consideration by users.
In terms of data permissions, Smartbi supports business modeling based on analysis scenarios. Users can define the relationship between fields and tables in the database according to business logic, forming topics that business personnel can understand, and can control permissions, ensuring an enterprise level Data security. In terms of resource operation permissions, it provides the function of setting user permissions, from multiple perspectives and levels such as system login, data sources, topic tables, dimension tables, analysis tables and portals, workflow creation, viewing and editing, etc. management.
2. The ease of operation
Some commonly used visualization tools, such as R, Python, Matlab, etc., all need to be visualized by writing code. This requires users to have a certain understanding of these codes in order to make some visualization effects. It is very difficult to reach the level that ordinary people can use, and the learning cost in the use process is very huge. But let the people in the IT department do it without visual thinking.
Therefore, it is very important for most companies to allow ordinary business personnel to process data. Smartbi can use the webpage to process company data only by connecting to the enterprise database, without writing any code, the operation is very simple, only a simple mouse dragging dimensions and indicators can quickly generate a variety of visualization charts, business personnel through simple You can learn to get started.
3. Visualization
On the premise that the above two requirements are met, I think the most important thing for enterprises is the visualization effect. After all, if a visualization BI tool passes the customs safely, the operation is also very simple, but the visualization effect analyzed is not satisfactory, nor Will be loved by the majority of users.
Smartbi also has its own characteristics in the field of map visualization. It not only has built-in maps, but also supports customized maps of China's provinces and cities. Rich map styles, support plane and 3D.
4. Data processing capability
As we all know, Excel’s data processing capabilities are very limited, and it has become increasingly unable to meet the needs of today’s society for big data. Then another important factor to measure the pros and cons of a visual BI tool is that it supports self-service data analysis in Big Smartbi. For business people, you can quickly generate charts by simply dragging dimensions and indicators with the mouse. Point-and-click data preprocessing, intelligent chart recommendation, no need to write expressions in the whole process, zero learning cost, one minute to get started. Agile Kanban not only has built-in multiple data statistical functions, such as: sum, maximum, ranking, year-on-year, ring-on-year, last period, etc., but also supports custom dimensions and indicators. The two can be switched with one click, which is flexible and convenient. The user conducts guessing and proof-seeking data exploration.