Updated on 2025-02-25 GMT+08:00

Basic Concepts

Data Source

Data sources are places where data is stored, providing the foundation for data analysis. Before conducting data analysis, analysts need to specify the data source to extract the required data. DataArts Insight offers multiple methods for accessing data sources: adding data sources from databases and uploading local data files. This flexibility allows you to choose the most suitable data access method according to your needs.

Dataset

After successfully connecting to data sources, you can extract tables from multiple different data sources and build them into datasets. These datasets will be used for data analysis and generating visual charts. DataArts Insight not only allows you to create datasets but also supports diverse operations such as editing and deleting datasets, granting analysts greater flexibility for in-depth data processing.

Large Screen

Data large screens are crucial forms and carriers of data visualization, capable of displaying key business metrics such as sales figures and inventory status. Through dynamic charts, real-time numbers, and interactive interfaces, data large screens make complex information easier to understand and analyze. They are widely used in exhibition centers, control centers, and other important locations, effectively meeting the demand for high-visualization data display scenarios in enterprises.

Dashboard

Dashboards are efficient real-time data visualization tools that allow you to collect complex data from multiple sources and transform it into easy-to-understand data charts. You can perform interactive operations such as clicking and filtering to delve deeper and analyze data. Suitable for daily work of individuals or teams, such as business monitoring, data analysis, and decision support, dashboards help you quickly grasp business trends and make more informed decisions.

Intelligent Analysis Assistant

The Intelligent Analysis Assistant, provided by DataArts Insight, is an innovative tool that uses natural language processing to simplify complex data analysis tasks into simple conversational exchanges. By asking questions in natural language, the Intelligent Analysis Assistant can automatically perform data analysis, generate charts, and provide intelligent insights, significantly simplifying the entire process from data acquisition to decision support, and helping you quickly conduct BI analysis.