Generally there are four options: 1. Excel
Advantages: Zero cost
Disadvantages: Can carry up to tens of thousands of rows of data; data analysis is cumbersome and visual display Limited
Excel supports one-stop needs from data filling, analysis to visualization, and is extremely powerful for basic data analysis. However, using Excel for data visualization requires data analysts to export a large amount of data from the company's different ERP, CRM, and financial systems every day, then use vlookup and sumif to perform related calculations on multiple tables, and finally put screenshots of the visualization charts into Daily and weekly reports are conducted in PPT. It is suitable for work with small data volume, low requirements on data analysis dimension and presentation form. 2. Reports
Advantages: Less workload than Excel and can support permission management
Disadvantages: Custom development is required and a single table can carry up to hundreds of thousands of rows of data
The report system is an upgraded version of Excel. It does not require complex functions for data analysis. However, at the same time, IT needs to customize fields according to your data analysis needs. Users can only see the data content of the customized fields. If you want to visualize it, still Need to consider 3. BI (Business Intelligence)
Advantages: Supports dynamic analysis such as linkage, drill-down, jump, etc., and a single table can support hundreds of millions of rows of data
Disadvantages: Need to master Python, Program codes such as R language are slightly more expensive
BI can first connect to data sources from multiple systems and integrate all data into one platform for global analysis. Secondly, it supports real-time data display, the analysis dimension and depth are far stronger than the reporting system, and supports data interaction such as drill-down and linkage. 4. Intelligent BI
Advantages: Supports visual self-service analysis (no code drag-and-drop operation required), real-time data analysis
Disadvantages: You may be able to find it when newer products are released.
It also supports one-stop operations from data access, data cleaning, data analysis to data visualization, but at the user level it emphasizes low-code (or zero-code) development, seamless docking, and flexible deployment. For example, you can use the Guanyuan Smart ETL tool to pull in an analysis dashboard without re-modeling, empowering ordinary business personnel with the ability to do data analysis, and allowing data analysts to have more time to focus on how to combine analysis with business. In addition, you can also use the power of AI algorithms to build future-based analysis models, such as sales forecasts, intelligent class scheduling, etc.
The following takes Guanyuan Intelligent BI as an example to explain how each step is implemented.
1. Data collection
Guanyuan Intelligent BI can be seamlessly connected to various enterprise information systems, and can be connected to dozens of data sources to achieve data interoperability and integration. Functions such as online filling or Excel import are also supported.
2. Data analysis
Guanyuan is a typical self-service BI platform that supports drag-and-drop operations and self-service analysis, greatly reducing the difficulty of analysis; empowering analytical thinking, Let ordinary business personnel focus on the business itself and quickly grow into excellent data analysts!
3. Data visualization
Currently, Guanyuan supports more than 50 chart types, covering column charts, dual-axis charts, funnel charts, Pareto charts, etc. On this basis, data visualization presentation formats such as screen projection and slideshows are extended to meet most data expression needs. It supports drilling, linkage, jump and other functions in dynamic interaction, and can analyze data layer by layer and find problems with one click. In terms of visual display, it supports three modes: mobile BI light application, data large screen and web.
Show several data dashboards and large screens made with Guanyuan BI:
Ourway BI is a complete BI intelligent data visualization analysis software.
It can collect data through crawlers, report filling, and ETL tools (supporting global data). After unifying the data analysis caliber, it can complete data visualization analysis through intelligent analysis functions and visual charts. Finally, the analysis results are presented intuitively and understandably.
From data collection, to data cleaning and intelligent analysis, to subsequent data visualization, it can all be implemented quickly. Moreover, OurwayBI also has a set of standard solutions covering multiple industries and mainstream ERP, with preset data analysis models including finance, warehouse and other sectors. For example, Kingdee/UFIDA standard solutions can also achieve zero development!
Moreover, the ETL tool of OurwayBI produced by Aowei Software can be fully visualized and can provide a lot of convenience for development and maintenance.
As for the effect of data visualization, if you go to the demo platform of Aowei Software, you can experience online self-service analysis for yourself. Here are a few screenshots of BI data visualization reports as an appetizer to briefly experience how intuitive and easy to understand it is.
Our company uses Qianxiu. They have functions such as data collection, data cleaning (mining), multi-dimensional analysis and visual chart generation. Of course, the function we use more is the data collection function. , you can also check out their official website if you are interested.