The goal of this work is to allow a corporation to improve its marketing, sales, and customer support operations through a better understanding of its customers. Keep in mind, however, that the data mining techniques and tools described here are equally applicable in fields ranging from law enforcement to radio astronomy, medicine, and industrial process control. Businesses in today�s environment increasingly focus on gaining competitive advantages. Organizations have recognized that the effective use of data is the key element in the next generation is to predict the sales value and emerging trend of technology market. Data is becoming an important resource for the companies to analyze existing sales value with current technology trends and this will be more useful for the companies to identify future sales value. There a variety of data analysis and modeling techniques to discover patterns and relationships in data that are used to understand what your customers want and predict what they will do. The main focus of this is to help companies to select the right prospects on whom to focus, offer the right additional products to company�s existing customers and identify good customers who may be about to leave. This results in improved revenue because of a greatly improved ability to respond to each individual contact in the best way and reduced costs due to properly allocated resources. Keywords: sales, customer, technology, profit.