The advantages of data visualization tools are low cost, high output, convenience and speed, but its shortcomings are also obvious, and some personalized needs cannot be realized, such as page styles, control between components, etc. In comparison, the page style can be tolerated

2024/04/2614:24:33 technology 1150
The advantages of the

data visualization tool are low cost, high output, convenience and speed, but its shortcomings are also obvious. Some personalized needs cannot be realized, such as page style, control between components, etc. In comparison, the page style can be tolerated and accommodated, but the control and coordination between components are unbearable. Because even if the page style cannot be satisfied, if it has no impact on the business, generally speaking, people will accommodate it, but if the business cannot be satisfied, it will be unbearable.

The advantages of data visualization tools are low cost, high output, convenience and speed, but its shortcomings are also obvious, and some personalized needs cannot be realized, such as page styles, control between components, etc. In comparison, the page style can be tolerated - DayDayNews

For example, the arbitrary layout of page components, arbitrary control between components, etc. These are basically the weaknesses of data visualization tools. For data visualization tools, they can only implement some simple dimensional queries, but for some very complex multi-dimensional queries, they are basically powerless.

The advantages of data visualization tools are low cost, high output, convenience and speed, but its shortcomings are also obvious, and some personalized needs cannot be realized, such as page styles, control between components, etc. In comparison, the page style can be tolerated - DayDayNews

So this kind of demand can only be met by manual development? Is there no data visualization tool that can show the wonderful beauty of multi-dimensional query? This has to be said about the split BI technology, which allows components to be laid out at will, and also allows for random control between components.

The advantages of data visualization tools are low cost, high output, convenience and speed, but its shortcomings are also obvious, and some personalized needs cannot be realized, such as page styles, control between components, etc. In comparison, the page style can be tolerated - DayDayNews

For example, as mentioned above, users can enter conditions in various dimensions and then perform various permutations and combinations to form various multi-dimensional queries. And as the data display SQL: select date_format(open_date, '%Y-%m-%d') as open_date, sum(bid_amnt) as amt from company_proj_detail where dept = ? and is_government = ? and proj_type = ? and proj_position = ? and bid_type = ? and company_type = ? and money_type = ? and (open_date between ? and ?) group by open_date. There can be so many query conditions, and more importantly, they can be intelligently arranged and combined based on what we have chosen earlier. This is exactly a typical application of split BI technology.

The advantages of data visualization tools are low cost, high output, convenience and speed, but its shortcomings are also obvious, and some personalized needs cannot be realized, such as page styles, control between components, etc. In comparison, the page style can be tolerated - DayDayNews

These are all configured through visualization, which also makes split BI, a technical point with endless control, greatly lowering the entry barrier.

The advantages of data visualization tools are low cost, high output, convenience and speed, but its shortcomings are also obvious, and some personalized needs cannot be realized, such as page styles, control between components, etc. In comparison, the page style can be tolerated - DayDayNews

This is one of the charms of split BI. It reduces complexity and makes everything simple. The final picture we see is actually obtained through various configurations, and these precisely use the Yunzhu system to implement split BI. It is simple, drag and drop, and everything is fine.

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