Along with the increase of economic globalization and the evolution of information technology, data mining has become an important approach for economic data analysis. As a result, there has been a critical need for automated approaches to effective and efficient usage of massive amount of economic data, in order to support both companies’ and individuals’ strategic planning and investment decision-making. The goal of this paper is to illustrate the impact of data mining techniques on sales, customer satisfaction and corporate profits. To this end, we present different data mining techniques and we discuss important data mining issues involved in specific economic applications. In addition, we discuss about a new method based on Boolean functions, LAD, which is successfully applied to data analysis. Finally, we highlight a number of challenges and opportunities for future research.