Shulou(Shulou.com)06/03 Report--

Big data upsurge continues to upgrade, enterprises not only more and more accept the concept of big data, but also more actively seek the accumulation and value of their own data. The application of business intelligence has been widely used abroad, while in China, BI tools are slowly being accepted by more and more people, and the demand for BI products is becoming more and more obvious. Enterprises begin to consciously establish an integrated data analysis platform to provide support for business decisions.

When choosing a suitable BI product, what should be considered is whether the BI product matches the personnel skills of using it, whether employees can easily self-study and use it, whether multiple data sources can be connected and read at the application level, and whether the report patterns provided can reasonably express the analysis logic. Whether it can make the work of the analyst more simple and clear, and ensure the security of the data with the full cooperation of the staff of the company. The next step is to compare several popular BI products.

PowerBI

Whether your data is a simple Excel spreadsheet or a collection based on a hybrid cloud and local data warehouse, Power BI allows users to easily connect to the data source, see important content visually, and share it with anyone they want. it uses free layout and has three views to choose from, of which the view of the corresponding page is handled better. The hands-on operation is basically in the form of drag-and-drop, and the learning cost is low, but the only drawback is that it can not customize development and complex scenarios, so it is more suitable for individuals or small businesses.

Tableau

Tableau is easily understood as a work tool, and its learning curve is mild because it strives to provide all its power to any type of user, even those who have never been exposed to the technical details of visual workflow before. It can support connecting to more than 30 data source types, and real-time connection plays an important role in fast interactive query analysis. However, due to memory analysis, the demand for hardware is higher, and the efficiency will be relatively low when the amount of data is large.

For data visualization, Tableau provides a variety of visualization functions with distinct features, and realizes the intelligent way of data discovery and in-depth insight. Rich visual type libraries include "text cloud", "bubble diagram", tree map, and so on.

From the developer's point of view, Tableau is not only easy to use, but also very neat in terms of destination, because it provides the ability to control the results through additional filtering with additional custom parameters. All data are communicated in a clear, attractive and interactive manner. Tableau provides insight into data and allows you to effectively compress complex decision-making processes. The deficiency may be that its implementation team outsourced, does not meet the domestic needs, and all need to charge extra, in short, the word "expensive".

QuickBI

Quick BI is a product of Aliyun, which supports rich data source access, especially for seamless interfacing with Aliyun database. It can be purchased in the public cloud and can be localized. Visual construction is also rich and professional, and can adapt to complex analytical logic and rich visual display. The positioning of Quick BI is to enable more people in the enterprise to use BI tools for data analysis, and business personnel without technical background can also get started quickly, reducing the dependence on professionals.

It is precisely for enterprises to use Quick BI together with more roles, so the online collaboration and sharing of the product is still very powerful, there is a multi-dimensional authority control mechanism, and the production of a PC can automatically adapt to wireless and large screen. The product is also sold in the public cloud by version, but readers and developers do not price separately, so the price-to-performance ratio is still good.

It is worth mentioning that this domestic product also supports online spreadsheets and can basically follow the experience of the operator Excel. After all, the data analysis enlightenment of Chinese people also started from Excel, and the production of spreadsheets, like dashboards, can be achieved by dragging fields.

Qlikview

The perfect combination of Qlikview's uniqueness and flexibility gives it a place among other BI vendors and provides a variety of useful applications for various industries to handle a large number of businesses of different sizes.

One of the features is that QlikView can automatically associate data and identify the relationship between various data items in the collection without manual modeling. Another feature, Qlikview deployment is relatively powerful, computing does not need an intermediate library, memory-based analysis can enable users to get results quickly, but there are also shortcomings. Memory-based BI tools, data processing speed largely depends on memory size, high hardware requirements, general enterprise configuration, data processing is slow, and Qlikview for complex business requirements, must write qlikview scripts. But the localization and customization ability is poor, there is no big data processing capacity.

FineBI

FineBI can automatically associate the relationship between data tables, through keys, automatic modeling. It supports more than 40 kinds of data source connections, has excellent data processing performance, pays more attention to data permissions and data security, and has a killer finereport for complex report requirements, but the product interaction is general.

FineBI has its own ETL processing mechanism and index mechanism, but there is a certain threshold in learning and operation, the operation is complex, and does not support data mining. But there is an advantage that FineBI also has a set of data collaborative management similar to office collaboration software OA, mainly for data security considerations. You can set up that the department can only see the data within the department, and individuals can only see the data within the scope of personal authority. When Dashboard is finished and shared with others, you can also specify who to share with. After receiving the notification, the distributor can see the report appear on the desktop, and then modify and annotate it. For the sake of data security, it can better meet the needs of localization.

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