To improve the efficiency of its teams, the company has developed an internal Datai product that simplifies the process of obtaining analytical information for the Product Owner and Product Manager. The main task was to create a system that would allow extracting data from various sources and obtaining analytical reports using natural language queries, eliminating the need to use SQL. Datai transforms complex queries into simple and understandable interactions, making analytics accessible to all employees.
Date
January 2024 - may 2024
Project Type
Mobile application
Services
UX/UI Design, Mobile development, Q/A test, DevOps, Backend development
We have developed Datai, a system using natural language processing (NLP) techniques and integration with multiple data sources. Users can ask questions in natural language, for example, "What were the sales in the last quarter?" or "Which products were in the highest demand in May?" The system automatically converts these queries into SQL queries, extracts the necessary information from databases and provides clear and detailed reports. Datai supports integration with various internal data sources, including databases, CRM systems and analytical platforms.
Results
The introduction of Data allowed the Product Owner and Product Manager to significantly reduce the time to obtain analytical information and improve the quality of decisions.
Now users can instantly receive reports and analyze data without having to study SQL or contact technical specialists.
Datai's internal product has demonstrated the potential to be used to simplify analytical processes and provide business users with real-time access to important data.