Exploring the Effect of Data Mining Techniques on Business Intelligence: A Case Study of Kuwaiti Companies

Abstract

The purpose of this study is to explore the effect of data mining techniques on business intelligence (BI) in Kuwaiti companies. Data mining is a process of discovering hidden patterns and relationships in large datasets, and BI is a set of tools and techniques used to analyze and present data to support decision-making. The study uses a case study approach to investigate how data mining techniques can be used to enhance BI in Kuwaiti companies.
Data was collected through interviews with managers and employees of three Kuwaiti companies representing different industries. The data was analyzed using content analysis to identify themes related to the use of data mining techniques and its impact on BI.
The findings of the study indicate that data mining techniques have a positive impact on BI in Kuwaiti companies. Specifically, data mining techniques were found to help identify patterns and relationships in large datasets that were not apparent through traditional BI methods. Additionally, data mining techniques were found to help in identifying areas of improvement, forecasting future trends, and developing new products and services.
The study concludes that data mining techniques have the potential to significantly enhance BI in Kuwaiti companies, leading to more informed decision-making and increased competitiveness. Therefore, companies should consider adopting data mining techniques as a part of their BI strategy to gain a competitive advantage in the market.