公开(公告)号：US20110016069A1

公开(公告)日：2011-01-20

申请号：US12799216

申请日：2010-04-19

申请人： Eric A. Johnson ,  Don Kainer ,  Adrian Fan

发明人： Eric A. Johnson ,  Don Kainer ,  Adrian Fan

IPC分类号： G06F15/18

CPC分类号： G06Q50/32 ,  G06Q10/06

摘要： A computer implemented method utilizing Insightful Dimensional Clustering (IDC) to extrapolate characteristics of subscribers that contact customer care to the entire subscriber base is disclosed. The combination of interaction content and IDC results in the spread of rich interaction characteristics to the entire subscriber base resulting in groupings of subscribers with similar characteristics including behavior, preferences, complaints, churn propensities, and pertinent retention offers.

摘要翻译： 公开了一种使用透视尺度聚类（IDC）将与客户关怀联系的用户的特征外推到整个用户群的计算机实现方法。 互动内容和IDC的结合导致丰富的互动特征向整个用户群体的传播，导致具有类似特征的用户的分组，包括行为，偏好，投诉，流失倾向和相关的保留优惠。

公开(公告)号：US20110055145A1

公开(公告)日：2011-03-03

申请号：US12799217

申请日：2010-04-19

申请人： Eric A. Johnson ,  Don Kainer ,  Adrian Fan

发明人： Eric A. Johnson ,  Don Kainer ,  Adrian Fan

IPC分类号： G06N5/02

CPC分类号： G06K9/6284 ,  G06K9/6223

摘要： An Insightful Dimensional Clustering (IDC) application is disclosed. The insightful dimensional clustering engine may perform various functions, including, performing an iterative process to determine the identity of dimensions that are important to the tag and the identity of the segment of a population having a target behavior, segmenting the population within the data space into clusters, analyzing the resulting clusters for a high tag concentration, and displaying the resulting clusters to name a few. The insightful dimensional clustering engine may be implemented as one or more processes operating on a computer or server, or may be a specially adapted computer or hardware device configured to perform the one or more operations described herein.

摘要翻译： 披露了一个深层次的维度聚类（IDC）应用程序。 有洞察力的维度聚类引擎可以执行各种功能，包括执行迭代过程以确定对标签重要的维度的身份以及具有目标行为的群体的段的身份，将数据空间内的群体分段成 集群，分析产生的集群以获得高标签集中，并显示所生成的集群等等。 有见识的维度聚类引擎可以被实现为在计算机或服务器上操作的一个或多个进程，或者可以是经配置以执行本文所述的一个或多个操作的经特别调整的计算机或硬件设备。

公开(公告)号：US20100223099A1

公开(公告)日：2010-09-02

申请号：US12634423

申请日：2009-12-09

申请人： Eric Johnson ,  Don Kainer

发明人： Eric Johnson ,  Don Kainer

IPC分类号： G06Q10/00 ,  G06Q50/00 ,  G06Q30/00 ,  G06F15/18 ,  G06N5/02 ,  G06N3/08

CPC分类号： G06Q30/02 ,  G06Q10/04 ,  G06Q10/0635 ,  G06Q30/0243 ,  G06Q50/32

摘要： A Multi-Dimensional Offer Optimization™ (MDOO) process is provided that may be defined generally as an offer simulation engine that matches an offer most likely to be accepted to the customer most likely to accept it. In general terms, the present offer simulation engine is defined as a form of predictive analytics used to make informed decisions about how to best spend scarce marketing dollars. Predictive analytics encompasses a variety of techniques from analytical statistics to traditional data mining that examines current and historical data to make predictions about future events. More specifically, the MDOO process uses predictive analytics to make decisions concerning customer optimization to include, by way of example, new customer acquisition, customer loyalty, customer retention and customer profitability.

摘要翻译： 提供了一种多维优惠优化（MDOO）流程，该流程可以被定义为一个报价模拟引擎，它将最有可能被客户接受的报价与最有可能接受的客户相匹配。 一般而言，目前的报价模拟引擎被定义为一种预测分析的形式，用于对如何最好地消耗稀少的营销资金做出明智的决策。 预测分析包括从分析统计数据到传统数据挖掘的各种技术，可以检查当前和历史数据，以对未来事件做出预测。 更具体地说，MDOO过程使用预测分析来做出关于客户优化的决策，例如包括新的客户获取，客户忠诚度，客户保留和客户获利能力。