With the increasing amount of data today, how to make good use of data and better serve human society has become a topic of concern to people, and data visualization as the last link is also the most intuitive experience for people, and naturally it is highly valued. . There are more and more homogenized applications, and application developers are beginning to work hard on user experience, such as data visualization, which converts a large number of dense numbers into graphs, which can more intuitively show users the connection and relationship between data. Change the situation, reduce the user's reading and thinking time, in order to make a good decision. With the development of technology to this day, people have been exploring, from the initial code, to code reuse, to objectification, to page templating, all kinds of advanced technologies emerge in an endless stream, and the emergence of page templating also allows many tools for data visualization. It sprung up like bamboo shoots after a rain.
The benefits of templating, in addition to less code, the biggest advantage is that it facilitates productization. At present, the mainstream data visualization tools on the market all adopt the concept of page templating, which greatly facilitates our data visualization. But as people become more and more personalized, this kind of templated products can't gradually meet people's growing individual needs. Therefore, until today, personalized customized development is still common in the production and service lines of major companies. The reason is that the templated product is good, and it has solved 99% of my problems, but 1 % Of personalized needs cannot be met, this is a failed product.
So what is the pain point of this 1%? The reason is nothing more than: the interface users lay out at will, breaking through the original concept of page templates, and more subdivided. The page should have the concept of modules, and each module can be controlled at will, and layout at will, without any constraints.
So how to solve this pain point? This is the visual BI that we need to share with you today using mouse drag and drop. Take a look at the following picture. An income analysis table has five modules. You may find it very common. You can do it with a report tool. Come out, but it is simple to make such a table, but it is not that simple to modify it after finishing the diagram. I want to change the position of the column chart and doughnut chart below, how do I do it?
Delete and remake? too troublesome! Will consume a lot of work time. But this visual BI tool is very different. You can use the mouse to drag and move each section at will. Please see the picture below, we only need 1 second to realize the exchange:
Or such a large-scale exchange
This is the Smartbi used by mouse drag and drop that we are going to share with you today. As the name suggests, the Smartbi used by drag and drop is a modular segmentation of the page, and at the same time, the modules can be controlled with each other and can be moved at will. Just like the above pictures, this can solve the problem of the personalized layout of the user page. For designers, they only need to care about the functions implemented by each module and the control between the modules. Is this a bit like the modular control in an integrated circuit, but the mouse drag and drop design is more advanced. Arbitrary placement and layout without affecting the control relationship between them. Once this pain point is solved, the product visualization tool Smartbi can completely solve the problem that data visualization tools that have plagued people for many years cannot replace manual development. Therefore, we have to feel sincerely that the drag-and-drop visualization tool is indeed a milestone in data visualization!