SQLBot is particularly well suited for self-service data analysis by non-technical people

Business value of lowering the barrier to data use

SQLBot revolutionizes the traditional data access mode through the natural language interface, so that marketing, operation and other business personnel can directly query the database without mastering SQL syntax. Typical scenarios include: sales manager inputting "compare Q3 return rate of each category" to instantly get the trend chart, and operation specialist querying "last week's new user source distribution" to generate a ring diagram. Actual enterprise cases have proved that the tool has shortened the response time of data requests from business departments from an average of 48 hours to real-time response.

The system is designed for conversational interaction that meets the habits of non-technical users: it supports automatic conversion of fuzzy times such as "last month" to SQL date functions, and understands business terms such as "head customer" and corresponds to the VIP identification field in the database. Query results can be exported to Excel or embedded in PPT with one click, forming a complete data workflow. After the implementation of an FMCG brand, the percentage of independent analysis by the business team increased from 12% to 67%.

This change significantly reduces the burden on IT departments to write SQL, allowing technicians to focus on higher-order work such as data architecture and creating a more rational system of data division of labor.

This answer comes from the articleSQLBot: The Intelligent Bot That Converts Natural Language to SQL QueriesThe