Clustering - Grouping the same set of data is called clustering. Similar preferences and more sales on particular products can be identified through this process. Thus, targeting those groups can improve business and bring in more sales, and gives the organization more clarity on how to target a particular set of audiences. Classification - This process is used to divide the data into different classes or categories. So that helps in identifying spam and fraud insights. Regression - This type of mining is used to identify the relationship between the set of data. It uses various kinds of multiple linear regression, quadratic regression, etc to create the link between variables which in turn is set to identify their relationship. For example, some of the relationship sets could be customers' age and factors that influence them to buy the product.