With the development of the field of business intelligence, more and more companies are beginning to realize the importance of data for business development. In this process, BI (Business Intelligence) tools have become an essential tool for enterprises to conduct data analysis and decision support. However, there are many types of BI tools on the market, each with its own unique advantages and disadvantages, and choosing the right BI tool is not easy. In this context, an intelligent BI tool called JVS has attracted much attention. This private BI tool is regarded as a substitute for Fanruan and powerBI because it is more intelligent, flexible and reliable.
JVS Intelligent BI self-introduction
JVS Intelligent BI is one of the core capabilities of JVS's overall enterprise digital solution. It is a self-service data analysis platform in the JVS rapid development platform. It can automatically perform data cleaning, integration and visualization processing; it has natural language processing function, and can quickly generate data analysis reports through simple voice or text input; it supports multiple data forms, and realizes the future through unified access to different data sources. Different data realizes unified data processing and data application; at the same time, it adopts a multi-level security control mechanism, including various security measures such as authority control and data encryption.
What are the core functions of JVS intelligent BI?
1. Data source configuration
Data sources are the basis for JVS-Smart BI to support multiple data forms. The core goal is to connect different data sources in a unified way to achieve unified data processing and data application for different data. Currently, JVS-intelligent BI mainly supports three forms of data: database, API, and offline files.
2. Dataset
Data sets are the basis for carrying data, using data, and managing data in JVS-Intelligent BI, and are also the basis for building data analysis. It can be generally understood as an ordinary table in the database. It comes from intelligent ETL data processing tools, which can make data sets for analysis charts, statistical reports, digital large screens, and data services.
3. Chart
Based on visual icons, the data is analyzed and displayed to form a visual dashboard page. Visual rendering of data is achieved through drag-and-drop and supports a variety of graphic components.
Chart data linkage
Chart data linkage means that in a visual chart, when the data in one chart changes, the data in the other chart will automatically update. This feature is usually used to display interrelated data sets to help users more intuitively understand the relationships and trends between data. The actual effect is as follows:
4. Report
Through tabular data display, a statistical report for data analysis and summary is formed. The report types are divided into multiple types: cross report, statistical report, ordinary report,
Group summary tables, data tracking, static data tables, etc.
5. Large data screen
Through visualization technology, a high-definition large screen is used as a display platform, and the data is intuitively and vividly presented in a rich and appropriate manner through various forms such as charts, maps, and dashboards.
6. Data service
Data service is to open the data sets generated by the internal processing and analysis of intelligent BI to other systems through API; it is to provide configurable API services to standard data sets.
Smart BI Features
- Enterprise-level, privatization: Data analysis tool: Intelligent Data Insight's self-developed rapid column storage OLAP engine solves the performance problem of multi-dimensional analysis of big data in the industry.
- Full self-service analysis, low threshold for use: liberating IT manpower: just drag and drop data to complete query and analysis. According to different business scenarios, intelligent data insights will also provide intelligent solutions, realizing zero-threshold and fully self-service data analysis.
- Office integration to create online data collaborative data office: support integration with various office tools, such as DingTalk, enterprise WeChat, and self-built APP, etc., and push real-time data/monitoring and alarm methods to corresponding personnel/groups to form data tracking.
- Enhanced ABI, intelligent data insight: intelligent data insight can automatically detect abnormal data based on machine learning algorithms, support automatic attribution of scene analysis, and intelligent alarm monitoring.
- Technology openness and inclusiveness: As a professional enterprise digital technology supplier, it provides inclusive technology implementation and flexible technical service models: product authorization, code openness, technology transition, customized services, etc.
- Configuration visualization adopts the mode of function configuration and real-time preview, removes technical operations such as SQL and scripts, and converts them into page-level functional operations, what you see is what you get
- Highly integrated, using the plug-in model as an expanded basis for subsequent functions, integrating data collection, data processing, and data applications
- Data persistence, periodic refresh of data, forming data assets
gitee address: https://gitee.com/software-minister/jvs-bi
Online demo: http://bi.bctools.cn/
Introduction to previous functions of intelligent BI
Self-service data analysis platform: JVS intelligent BI function introduction (1) Data source