Customer Data Analytics

“Customer Data Analytics” looks at understanding the relationship between business value and data analytics, and the different techniques used for analysis, including clustering, classification, segmentation, estimation, prediction, and affinity grouping. These techniques rely on methods such as link analysis, cluster detection, and decision-tree analysis to help develop usable models.