| 摘要 |
<p>Various embodiments herein include at least one of systems, methods, and software for adaptive in-memory customer and customer account classification. Some such embodiments include receiving a rule identifying data attributes that contribute to at least one outcome with regard to at least one product and applying the rule to a dataset replicated from a transactional data environment to an in-memory data environment. Application of the rule results in segmentation of at least one of customers and customer accounts likely to have each of the at least one outcomes, the replicated dataset including customer data. Such embodiments may then output data representative of the segmented at least one of customers and customer accounts likely to have each of the at least one outcomes. The in some embodiments, the rule is applied to define a further rule which may be stored and later utilized to perform further data segmentation.</p> |
