Data Analysis Subsystem as a Way of Automating Monitoring and Analysis Processes for Prices in Online Stores

Abstract

The article presents the development of a subsystem for automating the processes of monitoring and analyzing prices of online stores. Nowadays, most companies use the data accumulated in the information system to solve governance problems. Big data has become an integral part of modern business models. The purpose of the work is to describe the main technological stages of developing a subsystem for automating the processes of monitoring and analyzing prices of online stores, as well as to provide examples of visualization of information obtained as a result of using this subsystem. Online price monitoring systems are used to adjust the company's pricing policy. The main functionality of such systems: the ability to automatically analyze prices for the necessary goods on selected trading floors in a particular region, adjust prices for sold goods in such a way that they become lower than competitors, but higher than the established profitability. The interface of most systems for price analysis of online stores is intuitive. The use of automated price analysis systems is economically justified. Installing and configuring the system takes much less time than manually analyzing and adjusting online store quotes. The article provides criteria for which you need to pay attention when choosing a system for online price monitoring in online stores. To monitor, process, store and analyze data on prices for goods in online stores, a subsystem has been developed that collects information from marketplaces, saves the collected data to a database and displays the finished result to the user in a convenient form. This will reduce the cost of purchasing software. During the development of the subsystem, information objects were identified, their properties were determined, a logical database structure was created, a physical model was based on it, a model of automation of price monitoring technology was built using the UML methodology.

Keywords

• data analysis
• price monitoring
• parser
• automated subsystem
• python
• postgresql