The Patent Benefits Of Data Mining Software To Your Business The concept of data mining has been around for several years and, is consistently helping businesses to flourish and stay abreast of client’s requirements. Data mining is a process which analyses different patterns, relationships or associations within the large set of databases to help businesses with the useful information. It determines data from the different perspective and extracts information that helps to generate higher revenues and cut-down operational costs. By outsourcing data mining services, a company can gain valuable insights into customer’s demand. This, in turn, aids in business decisions through market analysis, product analysis, customer research marketing, etc. In fact, some of the world’s largest IT giants like Facebook, Google etc. own a staggering growth by showing hyper-specific, relevant researches and advertisements through data mining. Here, I have discussed few ways data mining software is helping businesses to gain a competitive edge: It helps in strategizing product marketing: After deeply exploring large databases and retrieving useful information from it, data mining software can help companies to understand customer’s buying behavior. By attaining physiographic knowledge of the customers, developers can develop specific products that are having high demand in the market. Additionally, it would help them to strategies product marketing, promotions, and other campaigns. It helps to predict the number of customers and product sales: The derived data will reveal customer’s purchase pattern as well as their purchasing frequency. Also, data mining software can figure out when and how the customers will make the next purchase. This type of sales prediction information helps retailers to determine the number of customers as well as to plan complimentary products for them. It helps in planning inventory: The mined data help retailers in planning their inventory and maintaining appropriate stock level. By checking the highlighted products with high sales and low sales, retailers can choose what to buy, when to buy and how much to buy.