Data Mining with a wide application in business management, among areas of Marketing and Finance, applied to industries like Retail, Banking, Financial Services and Telcos. Applying great visualizations using Tableau and numerous techniques for data modeling. What the job requires and delivers: Some of the most relevant techniques applied: - Clustering: Cluster analysis for customer segmentation. Are there groups of customers who behave in a similar way and can be treated in such a way? - Association rules: Market basket analysis. Are there product groups that our customers tend to buy together? Can we design programs for cross-selling and up-selling? - Profiling/prospecting/demographics: Customer profiles. How much will a customer buy with this characteristics? What kind of customer should we pursue? Which customer is more profitable? - Customer acquisition, retention and churn: Which customers should we contact to start a business relationship? Which should we avoid? Which customers are we at risk of losing? Can we identify them? Can we do something to keep them?