Easy-to-use data visualization tools will be spread by word of mouth among enterprise users. This article summarizes 5 common BI data visualization tools with good reputation, namely Fanruan BI, Aowei BI, Yixin ABI, Smartbi, Yonghong BI , to see if there are any data visualization tools that meet the needs of each enterprise user and can achieve the required data visualization analysis effect.
1, sail BI
Fanruan BI is a fast, visualized and customized data visualization analysis tool.
①Support multiple data sources, including database, Excel, CSV, etc.;
②Support data interaction, users can filter, filter and other operations on the chart;
③Can be customized, users can customize reports and data analysis process according to their own needs;
④The effect of Chinese-style reports is outstanding.
2. Aowei BI
Aowei BI is an intelligent, personalized and customizable business intelligence tool (BI data visualization tool) for large enterprise users, which integrates data extraction, cleaning, modeling and visualization.
① Data analysis based on the data warehouse, supporting advanced analysis functions such as multi-dimensional analysis and data mining;
②Provide a common standard solution for seamlessly connecting the full version of Kingdee UFIDA ERP, and preset data analysis models and reports covering topics such as finance, sales, inventory, and procurement;
③Provide rich visual charts and reports, and support the rapid access and integration of multiple data sources;
④Provide intelligent data analysis functions, including intelligent drilling, multi-dimensional dynamic analysis, chart linkage analysis, etc.;
⑤ Supporting multiple languages, it can provide intelligent data visualization analysis services for cross-border trade, cross-border e-commerce and other industries.
3. Yixin ABI
Yixin ABI is a localized BI tool created by Yixin Huachen after 15 years of ingenuity. The technology is independent and controllable. It is an intelligent data visualization analysis tool that integrates data collection, integration, analysis, and presentation.
①Support multiple data sources, including relational databases, non-relational databases, Excel, etc.;
②Provide rich visual charts and reports, and support multiple data collection and integration methods;
③ It can quickly build data models and support advanced analysis functions such as multi-dimensional analysis and data mining;
④ Provide flexible data interaction functions, users can filter, filter, drill and other operations on the report.
4、Smartbi
As a mature big data analysis platform, Smartbi has a reusable, dynamic and static combination of unique display effects, making data visualization flexible and powerful, suitable for both dynamic and static, providing users with unlimited application capabilities and imagination.
①Provide Excel fusion analysis, which combines Excel and BI organically, so that business personnel can easily master self-service data analysis tools;
②Provide graphic visualization to make the data show lifelike, offline download and take the data with you, and handwritten annotations make information sharing and decision-making discussions easier;
③Provide collaborative decision-making, so that users can make multi-person and multi-team decision-making in the big data analysis platform to improve decision-making accuracy;
④Provide visualized operation and maintenance, more considerate management, clear system configuration, and quick positioning of operation problems;
⑤Provide artificial intelligence, including functions such as speech recognition, semantic model, deep learning, natural language understanding, multiple human-computer interactions, and user preferences.
5, Yonghong BI
①Support multiple data sources, including relational databases, non-relational databases, Excel, etc.;
②Provide easy-to-use visual components, users can quickly create reports and data analysis reports by dragging and configuring;
③Support data mining and machine learning algorithms, enabling intelligent prediction and optimization analysis;
④ Provide flexible data interaction functions, users can filter, filter, drill and other operations on the report;
⑤Support privatization deployment and cloud deployment, which can meet the needs of different users.
The above is a summary and sharing of five well-known domestic BI data visualization tools. These tools have their own characteristics and advantages, and you can choose the appropriate tool for data visualization according to your needs.