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

Now many companies and business departments pay great attention to data analysis and prepare for the construction of enterprise informatization. In the past, the collection, processing and analysis of data may be exclusive to IT departments and database staff, but now many business departments are eager to analyze business problems with the thinking of data analysis.

In the past, the working mode of most data personnel is to use excel PivotTable to make data reports and analyze data. Therefore, every day immersed in the dense excel report "sea of bitterness".

Recently, I have studied several bi tools at home and abroad that specialize in data analysis, mainly evaluating their function, price, experience and so on. I hope I can help you all.

Recommendation of five major business intelligence tools

Tableau

Yonghong BI

Qlikview

Power BI

Domo

1.Tableau

Tableau is an internationally renowned visualization tool, there are many series of products, are based on Tableau Server, can manage data sources and reports. One of the biggest features of its products is the powerful visualization function, which has high requirements for computer hardware, complex deployment, and relatively expensive price.

Try the Tableau desktop version of the tool, after importing the data source can be dragged to make charts, but the top toolbar has many functional items, it will be more difficult for people who have not used data analysis tools, especially to make some complex reports.

two。 Yonghong BI

Yonghong is a domestic BI company, which has won the first place in the field of Agile BI for four consecutive years. Its Z-suite is an one-stop big data analysis platform, which sets up a framework for various industries to provide BI services. Its proposed PASO capability architecture, the corresponding English words are Platform, Application, Service, Operation, that is, platform, application, service and operation, which are indispensable to provide services for enterprises.

Yonghong Z-suite big data analysis platform supports multi-source data access, self-developed MPP data Mart, supports million to 10 billion second response of data, AI in-depth analysis and fast display of drag-and-drop reports. It is very suitable for the application of massive data and report analysis in enterprises. Compared with foreign BI software, the local BI software is still very close to the people in terms of price.

Yonghong recently released desktop, a desktop intelligent analysis software for C-end users, which has been operated by itself. Compared with many desktop BI tools on the market, it can be installed and used without registration and can be downloaded directly.

In terms of function, it can be said to be very powerful, derived from Z-suite, but it is more suitable for individual use, including individuals in the enterprise, and Z-suite is of course an enterprise-level BI tool.

Qlikview

Qlikview's biggest competitor is Tableau, which, like Tableau and many domestic bi, belongs to a new generation of lightweight bi products, which can realize data association, association search and intelligent visualization, which is reflected in modeling, deployment and use. Can only run in windows system, Cramp S product architecture, using in-memory dynamic computing, the amount of data is small, the speed is very fast; when the amount of data is large, the performance is slow.

4.Power BI

Microsoft Power BI is a set of business analysis software that runs mainly on Azure and is owned by Microsoft. Compared with our usual Excel, Excel is more comprehensive and more focused on data analysis, while Power BI is more concise and more focused on report visualization.

Power bi is easy to use, but it is only suitable for making simple reports. According to Gartner, most Microsoft reference customers (59%) mainly use Power BI's parameterized reports and dashboards, rather than for more complex tasks. The average percentage of corporate users who write their own content using Microsoft Power BI is 20%, which is very low.

5.Domo

Domo was established in 2011, using a cloud-based customer service model, and all deployments are based on the cloud, which greatly reduces the tedious server purchase for customers. It is a good choice for some enterprises with large data volume and can reduce the pressure on local data storage, but for some small and medium-sized enterprises, the high price does not seem to be very friendly.

Domo's current self-service "business cloud" is rapidly becoming a strong competitor to mature BI providers like Tableau. It is more difficult to learn and use than Tableau, Qlik Sense, and Power BI, and the cost per user is many times higher than other tools. And Domo only offers a free trial version, not a permanent free version.

In fact, each of the five BI tools analyzed above has its own advantages and disadvantages, and can also help enterprises to achieve cross-departmental data mining, visualization and report display, but in many cases, enterprises still need to judge whether it is suitable for your business according to the function and pricing method of the product.

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