How do data visualization analysis tools overtake in domestic curves and rise rapidly?

What is data visualization

Data Visualization: Data Visualization, or visual communication, in order to convey information clearly and effectively, data visualization encodes numerical data through statistical graphics, charts, infographics, and other tools such as points, lines, or bars to visually convey quantitative information .
The Importance of Data Visualization for Business <br>Effective visualization helps users analyze and reason about data and evidence, it makes complex data easier to understand and use. In order to effectively convey ideas and concepts, aesthetic form and data function go hand in hand in visualization, enabling in-depth business insights by intuitively conveying key data and features.
Data visualization is a very important way for enterprises to conduct data analysis, data mining and data governance.

BI tools and data visualization
BI tools provide a complete set of data solutions, which can effectively integrate, model, and analyze business data, present them in a visual way, quickly and accurately locate key data, and assist decision-making. Therefore, the last link of BI tools is to perform data analysis after visualizing the key business.

Summary of domestic and foreign data visualization tools

"I want to change careers to do data analysis, but I can only use Excel, not other tools. Do you have any other data analysis tools to recommend?"
"I don't know python, can I do data analysis?"
Most people's first impression of data analysis is Excel and python. In fact, choosing a tool to start learning requires a learning cost. If you don't know what value this tool can bring to you, start blindly learning. It is very likely that will waste time. So today we will talk about the mainstream data analysis visualization tools at home and abroad from the entire data analysis process, from data access to large screens, data processing, and report production.

Excel

I believe that Excel should be the initial data analysis tool for all professionals. It is easy to use, from simple table creation to pivot table, formula writing and even VBA language; but it may take a lot of time for Excel to achieve the same effect as BI tools. To adjust the colors and fonts, as well as the chart style, it is not friendly to the processing and support of large data (such as hundreds of thousands), and is usually used for quick analysis of a small amount of personal data in daily life.
For enterprise-level data analysis, which involves user, organization, authority management, as well as access and statistical analysis of large data volumes and various types of data sources, Excel is far from enough, and more professional BI tools need to be upgraded.

Tableau

The world-renowned data visualization tool has a large user base, simple overall operation, and convenient chart design. 80% of the functions can be realized by dragging and dropping with the mouse. Novices can quickly unlock basic functions and obtain more advanced data analysis functions, such as data processing, application integration, etc. IT personnel with technical backgrounds are required to explore and learn step by step. The learning cost is high, the genuine version is expensive, and the market share is not high. It is very obvious that there is a great lack of supporting implementation and service capabilities. In addition, for domestic customers, it is no longer enough to "see" the data. The underlying data integration and data governance are the foundation. At the same time, users and enterprises are more concerned about a series of problems of continuous use and post-operation and maintenance. Tableau is obviously in the In terms of localization, it has not adapted to the soil and water, and has now withdrawn from the Chinese market.
Tableau is a C/S structure, divided into Desktop, Sever, Reader, with a clear structure, but a large volume; in terms of visualization, there are only 24 types of chart libraries in tableau, and other radar charts, Sange charts, stock price charts, etc. must pass These 24 kinds of graphs and secondary development are derived, and the development cost is high.

With the rise of domestic BI software in the past two years, domestic BI tools have blossomed in the market, and more visual analysis tools that can directly access the core data of enterprises have been born.

Power BI

The tool stripped from the Excel plug-in has similar functions to Tableau. It is a well-known agile BI tool abroad. Power BI integrates software services, applications and connectors, and converts data into coherent interactive insights through data analysis. Getting started is harder than Tableau. For individuals, Power BI supports downloading the desktop free version, but the desktop version cannot collaborate, and the personal free version supports limited functions.
As a foreign BI tool, Power BI's performance in terms of cool charts is obviously inferior to that of domestic localized tools, such as 3D modeling, map integration, etc. The appearance is not high. In terms of visual presentation capabilities, PoweBI has relatively few built-in chart types, such as some commonly used rose charts, multi-layer pie charts, word cloud charts, heat maps, flow maps, etc., which are not supported by Power BI (market chart expansion is required to download and use ), which is inconvenient for users.
Functionally, Power BI pays more attention to data modeling capabilities, and has built-in Microsoft's own DAX engine, a functional language customized by Microsoft. PowerBI has three independent modules that need to be learned as a whole: Power Query data acquisition, Power Pivot & DAX data modeling, and Power View data visualization. Therefore, systematic learning requires a long time to learn from scratch. It is suitable for professionals who want to engage in data analysis for a long time. player.

Wyn Business Intelligence

Wyn is a domestic BI software. Different from the mainstream BI tools in China, Grape City has a 40-year history of control research and development. It has strong professional capabilities, closely follows the development trend of embedded BI, and provides powerful embedding with existing enterprise applications. Integration capabilities, including: whole dashboard and individual chart embedding, dashboard designer embedding, analysis portal embedding, OEM installation package embedding, and rich API to meet personalized embedding needs. This is really very helpful for enterprises in the selection of BI.

Considering the needs of domestic localization of cool and large screens, it has built-in 100+ self-developed data visualization charts, and a fully open visualization plug-in mechanism, which can integrate Echarts, D3.js, ChartJS, G2, 3D models, etc. into the dashboard.

In terms of data access, Wyn provides users with support for up to 50+ data source types, and has strong adaptation capabilities in terms of localization. For the manufacturing industry, it also provides IOT real-time data analysis and vertical data analysis. Analytics has more in-depth support.
Speaking of learning costs, Wyn aims to provide business personnel with a zero-coding data analysis visualization tool, providing a highly easy-to-use analysis experience from data preparation to BI interactive analysis. Analysts can quickly complete data by dragging and dropping. Modeling and Dashboard Design. People without IT knowledge background can easily get started, and the analysis results also have highly self-service and flexible data exploration capabilities. The analysis process is deeply integrated with business, which truly makes scientific decision-making and business management parallel.
As a domestic localized BI analysis tool, in addition to the power of the tool itself, in terms of technical services, it also provides training camps, open courses and other courses to assist beginners and professionals to advance.

How does Wyn provide data visualization capabilities?

Wyn supports 200+ visualization types, including charts, 3D animations, 3D models, and GIS maps, to meet the needs of any data personalized display, and to achieve all needs, including screen adaptation, multi-page dashboards, automatic data refresh, 3D animation special effects, etc. It is suitable for digital twins, real-time data analysis of the Internet of Things and other fields. And it has been applied to scenarios such as smart parks, smart workshops, health care, electric energy, campus security, and digital command centers.

If you are interested, please visit the online demo to experience data visualization:
https://www.grapecity.com.cn/solutions/wyn/demo