My summary of BI data products is to collect, organize, and analyze data to measure and recommend business, and finally form BI data products. The data product is not limited to a sheet of reports, it is a tool for drawing conclusions from data.
There are three problems with traditional BI products:
部署成本高 采购传统BI工具的成本偏高，培训、咨询成本也比较高，似乎只有大公司才会考虑。却忽视了中小企业也有强劲的分析需求，只是它们需要更灵活的方案。
项目周期长 BI项目往往在ETL处理和数据仓库建模、性能优化等方面耗费大量时间。尤其对数据仓库的规范要求非常高，需要考虑系统的性能，扩展等各个方面内容，导致一个项目的周期就很长。
IT部门驱动的局限 通常业务部门需求很多，但是纯粹靠IT部门驱动非常影响效率。经常出现IT部门忙晕，业务部门只能焦急等待的局面。
There are many problems with traditional BI products, and we need to keep improving. In the latest Gartner related report, we know that the future development of BI products will converge in these three major trends, namely: analysis time, enhanced analysis, and embedded analysis.
1 Analysis time
Analysis moment is a data analysis process defined by Gartner. It supports the delivery of business results by visualizing, exploring and applying algorithms to data, so as to make better or faster decisions and automate business processes.
With the gradual decrease in the threshold of data use, self-service and platform-based BI has become a trend. The initiative of data analysis will gradually be transferred to the hands of business personnel. Data analysis is directly initiated by business personnel who encounter business problems, and business personnel can use data analysis tools /The platform completes the data analysis content.
2 Enhanced analysis
Enhanced analysis mainly refers to data analysis and BI functions based on machine learning. Through the application of machine learning, artificial intelligence and other technologies, common and general data analysis scenarios are precipitated into product functions, helping ordinary users without data science experts or Complete data analysis with the assistance of IT personnel.
The underlying concept of enhanced analysis is "easy to use", which can support users to complete the entire process of "collection-preparation-integration and analysis" of data without the background of professional knowledge.
Enhanced analysis includes modules such as enhanced data preparation, enhanced machine learning, and enhanced data analysis. The enhanced analysis of Smartbi products mainly includes Excel fusion analysis, predictive analysis and natural language analysis, and mainly corresponds to the enhanced data discovery defined by Gartner. In addition, Smartbi provides a voice assistant wheat based on AI technology, which implements natural language analysis functions and lowers the threshold for data analysis.
3 Embedded analysis
Integrate specific data analysis methods into business systems.
For example, the page of the BI system can be used to be embedded in other systems, which is very good for the future development of the product:
Can expand the scope of application of BI and facilitate future product planning upgrades
Business personnel can see the analysis results of the data in the system that generates the data, which increases the experience, and the process and experience are very smooth.
Forecast and decision-making recommendations
The business experience summarized through a large number of manual business analysis, coupled with the blessing of AI and machine learning technology, allows the machine to complete business analysis and action suggestions at one time.
If you are unclear about BI products, you can directly consult Sematic software staff. The basic analysis creation and enhanced analysis of Smartbi products correspond to the analysis and collaboration defined by Gartner. These include spreadsheets to implement traditional BI reports and KPIs; data exploration to implement interactive visual exploration of self-service BI; self-service dashboards and mobile cockpits implement dashboard analysis exploration and mobile application exploration and creation. In 2020, Smartbi was successfully selected as a representative vendor of Gartner's enhanced data analysis by virtue of its Smartbi Eagle self-service data analysis platform.