Nowadays, data visualization is very popular. As the price of hardware drops again and again, it seems to be a data visualization project. If you don't have a big data screen, you won't be forced. Ideals are full, reality is very skinny, not every data visualization project can be successful. The data visualization project is nothing more than choosing a software company for customization, or choosing a tool to make it yourself.
Choose a software company to customize, the advantage is that you can make what you want, some personalized ideas can be realized at the software company, and you can achieve a unique existence. But the disadvantage is very obvious, that is, the development cycle is long, but any project will be risky, and because it is customized, 99% of software companies will hard-code hard-coded functions, which makes later expansion a problem. And because of the great reliance on the software company, any requirements in the later stages will take time to solve... These problems combined together greatly increase the probability of failure of the entire project. If there is a deviation in the design of the requirements in the earlier stage, it will be overthrown in the later stage. Redoing is a common occurrence.
How about choosing a tool to make it yourself? This is completely different from the previous software company customization. The development cycle is short and the risk of project failure is very low...These are the benefits of tools, but the drawbacks are also obvious. Because they are non-customized, some personalized ideas cannot be realized, and everyone is the same. This is unavoidable. A certain leader went to Unit B after visiting and instructing Unit A, and couldn't help but jokingly said, "The big screens of your two families look like they do." Although it’s a joke, it also reveals the drawbacks of toolization, and because of the tooling model, even if it supports 99%, 1% of the functions do not meet, it will cause the failure of the entire project, because tools are tools and cannot Make ideological changes according to your personal needs.
Having said that, it is precisely because software companies and tool development cannot complement each other that have caused the current dilemma.
Are there other tools that can solve it?
Of course there is.
That is the Smartbi software of Sematic. The working principle of Smartbi is to configure the data for the administrator and create the corresponding business package. The business package contains the relevant data that the salesperson needs to use; return the business to the salesperson: no need to wait for the IT staff, Not to mention the process, etc., 80% of the analysis needs can be completed by itself; and the IT technology department focuses on the technology itself to reduce overtime, improve data control and metadata analysis, and focus on technological innovation. Decision makers can also quickly see the analysis.
Smartbi's self-service BI also includes ETL. Self-service ETL preprocesses business system data through simple drag-and-drop operations to solve the problems of enterprise data fragmentation, messiness, and inconsistent standards.
Smartbi is relatively cost-effective. Although the personal version is free, it can reach the heights that other agile BI can only pay for, and it is completely zero programming, suitable for enterprises and individuals, and many projects they have done can also be seen in the professionalism. .