tailieunhanh - Project Management Risk and Customer Relationship_11

Tham khảo tài liệu 'project management risk and customer relationship_11', khoa học xã hội, kinh tế chính trị phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | opportunities by industry 6 profile creation of 273 274-275 Auditing and scoring outside 155-161 B Back-end validation 176-177 Backward regression 103 105 109-110 112 221 222 245 268 Bad data 175 Balance bombs 201 Bayes Theorem 121 Behavioral data 26 27 Bootstrapping 138 140-146 147 148 adjusting 146 analysis 229 churn modeling and 270 271 272-273 formula for 140 jackknifing versus 138 validation using 138 140-146 147 148 224 225 227-230 249 251 270 Branding on the Web 316-317 Business builders customers 201 Business intelligence infrastructure 33 C Categorical variables 69-70 80-85 218-220 churn modeling and 265 266-268 linear predictors development and 95-97 Champion versus challenger 166-167 175 Chi-square statistic 78 247 backward regression and 105 categorical variables and 80 82 83 85 218-219 continuous variables and 210-211 forward selection method and 104 score selection method and 105 Page 360 continued Chi-square statistic stepwise regression and 105 variable reduction and 77 78 79 Churn 10. See also Modeling churn retaining profitable customers case example of 42 definition of 11 Classification trees 19-20 example of 19 goal of 19 interaction detection using 98 linear regression versus 19 purpose of 19 software for building 98 Classifying data 54-55 qualitative 54 quantitative 54 Cleaning the data 60-70 188 categorical variables 69-70 continuous variables 60-69 missing values 64-69 outliers and data errors 60 62-64 Web and 309 Cluster analysis 184 example 205-206 performing to discover customer segments 203-204 205-206 Collaborative filtering on the Web 313-316 ad targeting 315 applications in near future 315 call centers 315 e-commerce 315 of information 313 knowledge management and 314 managing personal resources 316 marketing campaigns 315 trend in evolution of 314 workings of 9-10 Combining data from multiple offers 47-48 Computers logistic models and 4 Constructing modeling data set 44-48 combining data from multiple offers 47-48 developing models .