The first thing we need to pay attention to is the performance, general BI tools in the preset year-on-year, ring, often need to write a cumbersome storage process, or need to be all involved in the calculation of the rows and columns are displayed in order to carry out the calculation. Of course, it is also necessary for the system to automatically identify the time columns, and automatically decompose the time columns into the granularity of commonly used analyses, such as year, half a year, quarter, month, week, day, etc.; according to the year-on-year ring comparison calculation cycle, the automatic replacement of the time conditions, and the manipulation of the data in the memory, so as to realize the highly efficient in-memory type of calculations.
The second thing we pay attention to is agility, which simply means faster and more convenient operation. The system comes with an operating guide that intelligently guides users step by step through basic operations, various techniques, and self-maintenance. Of course, it's best to implement a touch-enabled big data visualization and analysis platform.
The third thing we need to pay attention to is the memory computing power, when the data is input, you need to borrow the powerful memory computing power, quickly build the data model. So that the system memory computing power of high BI in order to faster, more accurate awards data model, shorten the time-consuming. Of course, it also needs to be simple, so that it can be convenient for users to just easily set up the formula in the front end can complete the calculation.
Fourth, we need to pay attention to whether the technology is advanced, in the case of the system is updated very quickly, the technology is advanced or not tends to represent the speed of the system, the analytical ability of the high and low. Also directly affects the user's business decisions in a timely manner or not. Therefore, enterprises in the selection of BI visual analytics software must not ignore this point.
The fifth thing we need to pay attention to is the visualization effect, data visualization and analysis is not data simply into a plane map, but to set up a multi-perspective data model, the user can observe the data from any angle.BI data visualization and analysis software for the big screen effect is clearer, more technological, can be linked with other analysis charts, such as cool operations. So, a mature BI data visualization and analysis can help you at a critical moment. That's why you need to keep one thing in mind when choosing a business intelligence BI: the right BI is the best one to use whenever you need it.
In this article we have given you a lot of knowledge about data visualization, we must pay attention to these related knowledge when choosing data visualization tools, these can help us do a good job of data visualization, I hope this article can help you.