... variables into strong predictors. And every step of the way, I worked through the one-model and two-model approaches. We are now ready to take our final candidate variables and create the winning model. ... coefficients and create an output data set. I am now ready to process my candidate variables in the final model for both Method 1 (one-step model) and Method 2 (two-step model...
Ngày tải lên: 21/06/2014, 13:20
... distance customers over the past 10 years. It is now expanding into cable television and wants to cross-sell this service to its existing customer base. Through a phone survey to 200 customers, ... identified between financial risk and some types of insurance risk. As a result, insurance companies are using financial risk models to support their insurance risk modeling effor...
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Data For Marketing Risk And Customer Relationship Management_6 pot
... the last 10 years, with huge shifts in average debt and risk profiles. Newer competitive industries like telecom and utilities will experience rapid shifts in market characteristics and behavior. Different ... a customer based on the sale of a single product. We know that one of our company goals is to leverage the customer relationship by selling additional products and se...
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Data For Marketing Risk And Customer Relationship Management_8 pot
... prospecting and more successful customer relationship management. You can segment and profile your customer base to uncover those profit drivers using your knowledge of your customers, products, and ... psygrp10 = 5; else if pamsy < psy60 then psygrp10 = 6; else if pamsy < psy70 then psygrp10 = 7; else if pamsy < psy80 then psygrp10 = 8; else if pamsy < psy90 then...
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Data For Marketing Risk And Customer Relationship Management_9 pptx
... v9_60 10 # of accts on file v10_curt v10_90 v10_40 continues Figure 10. 5 Score logistic regression. customers were used in processing, the out=ch10.scored data set contains all the customers. ... variables. Table 10. 1 Population and Sample Frequencies and Weights GROUP POPULATION POPULATION PERCENT SAMPLE WEIGHT High Risk 10, 875 3.48% 10, 875 1 Low Risk 301,665 96.5%...
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... playing field, and many of the old business models and their approaches to marketing, branding, and customers are being reinvented. Now customer data from Web page views to purchase and customer service ... power- shoppers, and attritors to reactivators. Modeling and Classification can also be used to support ad and site content personalization and to design and execut...
Ngày tải lên: 21/06/2014, 13:20
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition
... 1 customers should get the incentive, which customers will stay without the incentive, and which customers should be allowed to walk. Weeding out Bad Customers In many industries, some customers ... existing customers through an outbound telemarketing or direct mail cam- paign implies that in addition to identifying customers at risk, there is an understanding of why they are at ris...
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... 2001. The customer pyramid: creating and serving profitable customers. California Management Review 43(4): 118–145. Knowledge and Process Management RESEARCH ARTICLE KM Technology in Customer Relationship ... Relationship Management 17 & Research Article Application of Knowledge Management Technology in Customer Relationship Management Ranjit Bose 1 * and Vijaya...
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Tài liệu PROJECT MANAGEMENT PROCESSES AND PRACTICES: Audit Report pptx
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Tài liệu EARNED VALUE PROJECT MANAGEMENT METHOD AND EXTENSIONS doc
... Further reproduction prohibited without permission. EARNED VALUE PROJECT MANAGEMENT METHOD AND EXTENSIONS Frank T Anbari Project Management Journal; Dec 2003; 34, 4; ABI/INFORM Complete pg. 12 Reproduced
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