Analysing Transaction Data in Supermarkets-Role of Data Mining

This research study is based on the analysis of transaction data in supermarkets. Various mechanisms and technologies of data mining, data warehousing, and other consumer relationship management (CRM) strategies have been influenced to collect and analyses this information. The main purpose of this research is to investigate the custom benefits to determined consumer features in a retail supermarket, by executing data mining strategies on deals transaction data with the aid of data mining implements. Thematic analysis, based on the objectives are highlighted in this section. Adequate leadership of sales transaction data is as essential as any other support for a retail supermarket mart. Primary data analysis process is highlighted in this methodology section. The survey has been conducted among 65 people due to understanding the role of data mining in transaction data in supermarkets. Researchers are capable to collect data with the support of the primary data collection process. Therefore, SPSS (Statistical Package for the Social Sciences) helps to analyses data statistically. Overall discussion of the research topic is highlighted in this section. Additionally, some data mining approaches have been containing decision trees (DT), genetic algorithms (GA), artificial neural networks (ANN), association rules (AR), and so on are generally utilised to solve issues related to customers in different areas like science, engineering, finance and business. Analysis the statistical information with the support of the collected data is being generated. Therefore, important factors that play an important role in supermarket is being highlighted.