For this assignment, here it presents two case studies to illustrate the data mining process for addressing various kinds of business problems or opportunities. The case studies are summarized in Figure 1

Figure 1 Case studies Promotion targeting Al Jaree is a nationwide bookstore implemented an analytical solution based on data mining and in-line analytics. Its goal is to increase revenue by identifying distinct segments of high-profit customers and targeting them with more personalized offers to enhance customer loyalty, increase different product shopping, and increase basket size and value. This scenario illustrates the analysis to support the planning of a promotion based on customers interest. Business requirement: Characterize distinct shopping behavioral segments for customers who have previously purchased mobile phones. Identify the next most likely purchase for each customer interest, e.g., as laptop. Increase the average spends of customers in the most profitable clusters. Increase the average spends of the less profitable customers who look like the more profitable customers by cross-selling or up-selling them the products that the more profitable customers have bought. Increase utilization of the store card through promotions or partnering with bank cards. Required: The data mining approach that combines some mining methods. for the 2 case studies Data extraction and preparation methods. Data mining analysis. Data mining results. Business actions

INDUSTRY USE CASE APPROACH Retail Promotion Customer Segmentation and Market Basket Analysis Store Profiling DATA MINING TECHNIQUE Clustering, Associations, Sequences Clustering Retail Store Formatting INDUSTRY USE CASE APPROACH Retail Promotion Customer Segmentation and Market Basket Analysis Store Profiling DATA MINING TECHNIQUE Clustering, Associations, Sequences Clustering Retail Store Formatting