Self-service BI
Self-service exploratory analysis (agile BI) is aimed at business analysts who do not have an IT background. Compared with traditional BI, it is more flexible and easy to use, and to a certain extent gets rid of the dependence on the IT department. Self-service The emergence of BI indicates that business intelligence analysis is changing from an “IT-led report model” to a “business-led self-service analysis model”.
Tell data story
Just three steps to easily release the value of data
Data preparation
Rich data source interfaces, connect and integrate various data sources, and automatically create multi-dimensional analysis models.
Visualization and Analysis
Easy-to-use, highly interactive, and intuitive data analysis and visualization to help you discover and gain insight into your data.
Share value
Open and scalable architecture, providing flexible data sharing capabilities according to different business scenarios.
Leading Technology Architecture
Datafor adopts highly scalable, modular architecture, has a central resource library, and supports enterprises of different sizes and complex scene applications
Drag and drop design
Easy to learn and use, rich analysis components, drag-and-drop analysis and design, you can easily create beautiful personalized data analysis documents in just a few minutes.
Mobile layout
It adopts a tile design and a fluid layout mode to intelligently distribute visual elements, truly achieving one-time design and multi-terminal adaptation. Let you get the best viewing experience no matter on the PC or mobile.
Cool visual elements
Datafor provides line charts, histograms, scatter charts, pie charts, maps, heat maps, and line graphs for geographic data visualization, relationship graphs, rectangular tree maps, sunburst graphs for relational data visualization.
Exploratory Data Analysis
Datafor provides data analysis methods such as filtering, drilling down, linkage, and drilling to help you more easily mine the value of data, find out anomalies, test guesses and verify assumptions, and get the answers you need.
Data value sharing
Sharing and embedding gives users the ability to obtain data on demand, independently design reports, and independently visualize data analysis. Embedded analytics can also be used within the enterprise to improve internal operational efficiency
Features
Easy to use
Drag-and-drop design, intelligent data panel, what you see is what you get, suitable for business personnel.
Personalized style
Rich personalized style settings, style templates, custom CSS advanced style customization.
Multidimensional analysis
Highly interactive and intuitive data analysis capabilities: drill down, linkage, jump, rotate, slice, advanced filtering, etc.
Rich Visual Elements
File read, write, delete control; data permission control, support data row and column level permission control.
Adapt to different screens
Supports desktop browsers, mobile streaming layouts, and high-resolution large-screen data display.
Share
WYSIWYG data and chart export, support for content sharing by email, URL, etc.
