Introduction and comments of mainstream BI tools at home and abroad


The application of business intelligence has been widely popularized abroad, and big data and cloud technologies have been continuously explored. In China, business intelligence BI tools have only been gradually accepted in the past few years, and enterprises have begun to consciously establish an integrated data analysis platform to provide analysis for business decision-making.

From the perspective of domestic enterprises, the applications of BI tools are mainly foreign products, including SAP BO , Oracle  BIEE , Cognos , MSTR , Qlikview , Tableau , etc. The domestic tools are FineBI , Yixin Huachen, and Yonghong BI . host.

What are the advantages and disadvantages of each of these products?

lForeign  _

SAP  BO: A BI tool acquired by  SAP . The product operation mode is combined with SAP 's ERP system, so it is not advantageous to integrate other databases or systems. It is a heavy-duty BI , with high requirements for use and difficult to upgrade.

Oracle  BIEE : It has no merits, and it has no special features in BI products. Like SAP , it is closely tied to Oracle 's product line. It seems that foreign manufacturers are all bundled to sell the overall plan.

Cognos : The most widely used of traditional BI tools, acquired by IBM . Possess a powerful database platform, and has deep professional knowledge in data management, data integration and middleware. Partial operation type, manual modeling, once the demand changes, it needs to be remodeled, and the learning requirements are high.

MSTR : A very low-key BI product, which has been untenable in the BI market for many years, and has a certain relationship with excel . The secondary development environment is good, but it has higher requirements on the server environment.

Qlik view: The biggest competitor is Tableau . Like Tableau and many domestic BIs , it is a new generation of lightweight BI products, which is reflected in modeling, deployment and use. Can only run on windows system, C / S product architecture. Using memory dynamic calculation, the data volume is small, and the speed is very fast; when the data volume is large, the memory is very powerful and the performance is slow.

Tableau : Its own positioning is a visualization tool, similar to the positioning of Qlik view , the visualization function is very powerful, the hardware requirements of the computer are higher, and the deployment is more complicated. Currently, the mobile terminal only supports IOS system.

lDomestic  _

Fine BI: A self-service BI product under FanRuan, a lightweight BI tool, easy to deploy and multi-dimensional analysis. In the later stage, the jar package is used for upgrading, which is convenient for maintenance and the most cost-effective.

Yixin Huachen: Only supports fetching data from the database, and the file data needs to be imported into the server. The development time is not long, the overall is still relatively rough, and it needs to continue to hone and improve.

Yonghong BI: Agile BI software with high product stability. Using SQL to process data, it does not support program interfaces, and the implementation is outsourced to a third party. 

Analysis of advantages and disadvantages

 
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At present, most companies in the domestic market deploy very old and very old, mostly industry-specific application systems, logistics management systems, financial management systems, etc. Most of the internal management of enterprises is also reporting tools and Excel . BO and cognos are also used on a certain scale in China, but due to the difficulty of use and high learning cost, the overall BI use situation in China has not been good.

However, with the popularity of big data and data analysis technology in recent years, some light BIs such as tableau and Qlik view , including domestic Fine BI , are gradually recognized by enterprises due to their simple and easy-to-use, high degree of visualization, and low threshold for use. From the perspective of enterprises, the selection of a tool, stability, price, learning and maintenance costs are important factors to consider, and the emergence of light BI just cuts into the pain points of enterprises.

 

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