... 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 ... programming to create the clusters is very simple. I designate three clusters with random seeds (random =55 55) . Replace=full directs the program to replace all the seeds with t...
Ngày tải lên: 22/06/2014, 04:20
... prospects Modeling risk (avoiding high - risk customers), 231 – 255 bootstrapping, 249, 251 credit scoring and, 232–233 fraud, 253 , 254 – 255 implementing the model, 251 – 253 , 254 objective defining, 234–2 35 preparing ... 152 , 153 – 154 , 155 Predictive models, 4, 5, 207 Preparing data for modeling, 51 –70 accessing the data, 51 54 classifying data, 54 – 55 cle...
Ngày tải lên: 22/06/2014, 04:20
Data For Marketing Risk And Customer Relationship Management_2 docx
... group. The following SAS code details the steps: data male(where=(ranuni (55 55) <.001)) female(where=(ranuni (55 55) <.01)); set.libname.list; if gender = 'M' then output male; ... prospect with a risk ranking of 5 is definitely riskier than a prospect with a ranking of 1. But he or she is not five times as risky. And the difference in their ranks of 5 – 1...
Ngày tải lên: 21/06/2014, 13:20
Project Management Risk and Customer Relationship_2 pot
... eliminates 1% of the data. This is repeated 100 times. The ranuni (55 55) function with the positive seed (55 55) ensures the same random number assignment for each iteration of the do loop. The ... acqmod.bsmns 25 acqmod.fullmean; by val_dec; prdmbs = mean(of prdmn1-prdmn 25) ; prdsdbs = std(of prdmn1-prdmn 25) ; actmbs = mean(of actmn1-actmn 25) ; actsdbs = std(of actmn1 - actmn 2...
Ngày tải lên: 22/06/2014, 04:20
Project Management Risk and Customer Relationship_4 pot
... 34 7 25 2.04% 117,062 2.06% 99 35 39 3,4 45 9.67% 387,464 6.81% 142 40–44 10,440 29.32% 1,341,7 25 23 .58 % 124 45 49 11,7 95 33.12% 2,084,676 36.63% 90 50 54 5, 0 05 14.06% 900,779 15. 83% 89 55 –64 3,4 35 9. 65% 726,869 12.77% 76 65+ 7 65 2. 15% 131,8 35 2.32% 93 Total 35, 610 5, 690,410 continues ... '30-34' 35- 39 = ' 35- 39' 40-44 = '40...
Ngày tải lên: 22/06/2014, 04:20
Project Management Risk and Customer Relationship_6 pdf
... score 450 -< ;50 0 = ' 450 - 50 0' 50 0-< ;55 0 = &apos ;50 0 - 55 0' 55 0-<600 = &apos ;55 0 - 600' 600-< 650 = '600 - 650 ' 650 -<700 = ' 650 - 700' ... narratives rvarm53 v53_sqri v53_10 54 % of open trades in 24 mos to tot open trades rvarm54 v54_tani v54_80 55 % of open accts open in last 12 months rvarm 55 v 55_ tani...
Ngày tải lên: 22/06/2014, 04:20
Project Management Risk and Customer Relationship_7 potx
... SCORE 50 .00% 1/1 0.000 480 33.33% 2/1 0.693 52 0 26.12% 2.83/1 1.040 54 0 20.00% 4/1 1.386 56 0 15. 02% 5. 66/1 1.733 58 0 11.11% 8/1 2.079 600 8.12% 11.32/1 2.426 620 5. 88% 16/1 2.773 640 4.23% 22.64/1 3.120 660 3.03% 32/1 3.466 680 2.16% 45. 26/1 3.813 700 1 .54 % 64/1 4.161 720 1.09% 90.74/1 4 .50 8 740 0.78% 128/1 4.846 760 0 .55 % 180.82/1 5. 197 780 0.39% 256 /1 5. 5 45...
Ngày tải lên: 22/06/2014, 04:20
Project Management Risk and Customer Relationship_9 potx
... Max 65 99% 64 75% Q3 49 95% 59 50 % Med 42 90% 55 25% Q1 36 10% 30 0% Min 25 5% 27 1% 25 Range 40 Q3 - Q1 13 Mode 39 Extremes Lowest Obs Highest Obs 25( 853 99) 65( 84 255 ) 25( 853 95) 65( 84326) 25( 853 90) 65( 84334) 25( 853 83) 65( 851 87) 25( 853 72) 65( 853 68) Page ... Q1 354 45 10% 14610 0% Min 0 5% 750 0 1% 1 159 Range 9 250...
Ngày tải lên: 22/06/2014, 04:20
Project Management Risk and Customer Relationship_10 potx
... 346 (Continued) OBS INC_EST2 INC_EST3 26608 . 54 .4467 30922 . 42.8928 31141 . 41. 650 8 32963 . 42.6343 32986 . 41.2 255 341 75 . 41.2114 34702 . 41. 654 1 358 97 . 47.0708 36616 . 42.7077 42978 . 41.32 85 44612 . 53 .0 752 451 65 . 43.7436 459 59 . 41.1110 46242 . 41.9122 46428 . 41.6833 46439 . 42 .59 90 47002 . 42.0267 47400 . 41.8678 48237 . 51 .3944 49472 . 44.1610 50 012 ....
Ngày tải lên: 22/06/2014, 04:20
Data For Marketing Risk And Customer Relationship Management_4 potx
... 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. In chapter 5, I ... to carefully prepare and transform the variables, the resulting model will be equally powerful and will outlast the competition. Page 1 05 The actual split can be 50 /50...
Ngày tải lên: 21/06/2014, 13:20