Study of the demand for medical products by means of SQL

Abstract

The article presents a detailed analysis of the process of development and implementation of an analytical system for researching the demand for medical products using SQL. Focus is on creating SQL queries to collect, process and visualize large volumes of data on medical product sales, including aspects such as product categories, time periods and geographic segmentation. To ensure effective analysis, an interface was implemented that allows you to conveniently configure queries and segment data for deeper analysis and comparison of various parameters. The results of testing the system on real data confirmed its effectiveness in identifying key trends in demand, seasonal fluctuations and determining the most popular products in different regions and time periods. It was found that such fluctuations significantly affect the sales of medical products, which makes it possible to optimize procurement planning and inventory management, increasing the efficiency of operations. The study also emphasizes the importance of automating the process of data analysis in the field of medicine, which allows us to quickly adapt to changes in demand and respond to them in a timely manner. In addition, the article analyzes the possibilities of further expanding the functionality of the system, in particular, integration with other business analytics platforms and the introduction of demand forecasting methods using machine learning to increase the accuracy of predictions and more accurate planning. The developed system allows for a detailed analysis of the demand for medical products, which is important for increasing the level of satisfaction of consumer needs and optimizing business processes.