There are many data analysis tools, Excel is also the most daily one. The basic skills of Excel are believed to be a must for office workers. But I recently came into contact with a better big data analysis tool-Smartbi, and instantly abandoned using Excel as a pivot table. I can't wait to share it with you. The good use of general tools requires professional data analysts, but Smartbi makes it easy for ordinary business people to use it.
1. Smartbi is suitable for enterprise-level data analysis, helping enterprises to fetch data from heterogeneous systems into a unified data warehouse.
Excel is more a personal office data processing tool. For enterprise-level business data analysis, data usually comes from different business systems, which requires data engineers to integrate into a data warehouse or intervene in a big data platform, and then clean and output data to the front end of the data layer. The whole process involves the business part-business database-data warehouse-data / BI department-business department. Smartbi can connect to enterprise databases, clean data, integrate data, distribute data and chart boards with detailed permissions, and collaborate with multiple people to form visual reports.
BI software data processing refers to the cleaning (extract), transformation (transform), and loading (load) of data before data analysis, referred to as ETL. The source data may come from different business systems, they have different data formats, and also contain some redundant information. ETL is responsible for extracting data from dispersed and heterogeneous data sources, such as relational data, flat data files, etc., to the temporary intermediate layer, cleaning, converting, and integrating, and finally loading it into a data warehouse or data mart to become online analysis , Data mining provides decision support data. 
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Smartbi separates the technology by encapsulating the ETL algorithm, enabling business personnel to perform self-service ETL operations. Self-service ETL is implemented in the form of workflow to extract the semantics of the data model as a library table. Through easy-to-operate visualization tools, the data is processed into a data model with semantic consistency and integrity, and it can also enhance the ability of self-service data sets to build data models. .
Self-service ETL does not need to be deployed separately, and can be seamlessly connected with Smartb, allowing the results of data preparation to be directly provided to BI in the form of data tables. Self-service ETL adopts a distributed computing architecture and supports multi-threading in a single node, which greatly improves the performance of data processing, and the processing time of 100 million-level data can reach the minute level.
2. Natural language search, no code and no drag
When we use excel to do data calculations, we often need users to perform a large number of complex and tedious flat cell formula calculations. When using Smartbi for data analysis, we directly enter the content we want to analyze on the search page, through AI man-machine dialogue, The system automatically analyzes the visualization diagram, and the diagram is automatically recommended based on the analysis.
Smartbi natural language analysis is based on a pre-trained language model, giving intelligent robots (hereinafter referred to as wheat) powerful language analysis capabilities, which can quickly feedback the corresponding information to users, and is committed to helping users perform big data analysis more intelligently to promote Business development and industrial upgrading.
The user can transmit natural language in the system by voice or text input. Smartbi will analyze the data analysis result of the corresponding business theme or the corresponding question and answer information to feedback to the user after parsing, providing a more intelligent user interaction method, greatly simplifying The process of data analysis. Users can also verify the results of wheat feedback on the front end, and provide corresponding information for automatic optimization of wheat.
Picture: Wheat "artificial" dialogue
In addition, Smartbi can also support the following functions:
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Hot Questions: Wheat will provide users with the top N data of popular queries for reference
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Intelligent charting: users can change the analyzed chart at any time by voice or by themselves
- Analysis continuation: Supports saving the natural language analysis results to the report platform, which can be further processed and perfected based on the analysis results to form a beautiful dashboard.
3. Large visualization screen
Excel's visualization performance is a bit weak, and the chart types are not very rich. In addition to providing rich and changeable charts, the data board also allows users to perform flexible data chart layout analysis, and easily build your data chart thinking logic, allowing you to have unique insights and data insights to achieve effective communication or The purpose of data reporting.
The large visualization screen produced by Smartbi allows for any linkage, drilling and other analysis operations between data. Highlighted key points, clear logic, deep insights and insights, and extremely readable!
Finally, about Smartbi, it's useless to talk about it. You can download and experience it yourself to feel more. There is a free trial application on the official website. You can go and experience it. There will be surprises!