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Customer relationship management concepts and technologies, second edition francis buttle

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 2 pps

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 2 pps

... 12 13 15 16 17 18 19 20 21 12 13 14 15 16 17 18 10 11 12 13 14 15 16 14 15 16 17 18 19 20 22 23 24 25 26 27 28 19 20 21 22 23 24 25 17 18 19 20 21 22 23 21 22 23 24 25 26 27 29 30 31 26 27 28 ... 08 09 00 01 02 03 04 05 06 07 08 10 11 12 13 14 15 16 17 18 19 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 28 29 20 21 22 23 24 25 26 27 28 30 31 32 33 34 35 36 37 38 40 41 42 43 44 45 46 ... 27 29 30 31 26 27 28 29 30 24 25 26 27 28 29 30 28 29 30 31 Input variables Target variable Figure 3.4 Profiling and prediction differ only in the time frames of the input and target variables...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 3 pps

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 3 pps

... 9,621.8 14,1 63. 7 4,187.7 OTHER – 733 –2 23 –15 1,021 3, 811 –1,116 3, 515 1 ,36 2 TM DEVIATION Chi-Square Calculation for Counties and Channels Example COUNTY Table 5.8 256 156 51 –1 03 –245 37 1 37 6 –110 ... County and Channel COUNTS FREQUENCIES COUNTY TM DM OTHER TOTAL TM DM OTHER TOTAL BRONX 3, 212 4 13 2, 936 6,561 2.5% 0 .3% 2 .3% 5.1% KINGS 9,7 73 1 ,39 3 11,025 22,191 7.7% 1.1% 8.6% 17.4% NASSAU 3, 135 ... channel B customer a figure that is as valuable as the costper-response measures often used to rate channels Data Mining for Customer Relationship Management Customer relationship management...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 4 pdf

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 4 pdf

... 0. 84 0.82 0.80 0.78 0.76 0. 74 0.72 0.70 0.68 0.66 0. 64 0.62 0.60 0.58 0.56 0. 54 0.52 0.50 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 40 0 42 0 44 0 46 0 48 0 500 520 540 ... TRAINING AND VALIDATION SETS (continued) Proportion of Event in Top Ranks (10%) 1.0 0.9 0.8 0.7 0.6 0.5 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 40 0 42 0 44 0 46 0 48 0 ... 32.7% 34. 0% 110 47 < 0.18 39.2% 40 .4% 60.8% 59.6% 148 57 < 88 ,45 5 70.9% 52.0% 29.1% 48 .0% 55 25 ≥ 3.8% 28.7% 29.3% 71.3% 70.7% 5,155 2,607 Call Trend ≥ 0.18 27.0% 27.9% 73.0% 72.1% 44 0 218 ≥ 88 ,45 5...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 5 pot

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 5 pot

... 1 $40. 25 2 $41.00 $40. 25 3 $39. 25 $41.00 $40. 25 4 $39. 75 $39. 25 $41.00 5 $40 .50 $39. 75 $39. 25 $40 .50 $40 .50 $39. 75 $40. 75 $40 .50 $40 .50 $41. 25 $40. 75 $40 .50 $42.00 $41. 25 $40. 75 10 $41 .50 $42.00 ... Nearest Neighbors for New Customer NEIGHBORS dsum 1.662 1. 659 1.338 1.003 1.640 4,3 ,5, 2,1 dnorm 0 .55 4 0 .55 3 0.446 0.334 0 .54 7 4,3 ,5, 2,1 dEuclid 0.781 1. 052 1. 251 0.494 1.000 4,1 ,5, 2,3 277 278 Chapter ... 2 ,5, 3,4,1 2 ,5, 3,4,1 2 ,5, 3,4,1 3,2 ,5, 4,1 3,2 ,5, 4,1 3,2 ,5, 4,1 4,1 ,5, 2,3 4,1 ,5, 2,3 4,1 ,5, 2,3 5, 2,3,4,1 5, 2,3,4,1 5, 2,3,4,1 Memory-Based Reasoning and Collaborative Filtering Table 8.10 New Customer RECNUM...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 7 ppt

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 7 ppt

... 1.26% 65–69 yrs 1.93% 70 74 yrs 2. 97% 75 79 yrs 4.56% 80–84 yrs 7. 40% 85+ yrs 15.32% A life table is a good example of hazards Infants have about a in 1 37 chance of dying before their first birthday ... censoring When looking at customer data for hazard calculations, both the tenure and the censoring flag are needed For the customers in Figure 12 .7, Table 12.2 shows this data It is instructive ... 180 170 160 150 140 130 120 110 100 90 80 70 60 50 40 30 20 10 11 13 15 17 19 21 23 25 27 29 31 Day of Month Figure 12.13 Survival analysis can also be used for forecasting customer stops The second...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 8 pdf

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 8 pdf

... patterns in data and therefore has a firm requirement for clean and consistent data Much of the effort behind data mining endeavors is in the steps of identifying, acquiring, and cleansing the data ... transformation, and load (ETL) move data between different data stores Data Warehousing, OLAP, and Data Mining ■ ■ The central repository is the main store for the data warehouse ■ ■ The metadata ... the data, as business users would understand it An entity relationship diagram describes the layout of data for a simple credit card database With respect to data mining, relational databases (and...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 9 pptx

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 9 pptx

... specifications for a data mining platform adequate for the anticipated dataset sizes and expected usage patterns The Scoring Platform The scoring platform is where models developed on the mining platform ... input for data mining models used for targeting, cross-selling, and retention There are several approaches to incorporating data mining into a company’s marketing and customer relationship management ... values for that column Table 17.1 shows range characteristics for typical types of data used for data mining TE 542 Table 17.1 Range Characteristics for Typical Types of Data Used for Data Mining...
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Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 10 pps

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 10 pps

... Data Mining Technique The choice of which data mining technique or techniques to apply depends on the particular data mining task to be accomplished and on the data available for analysis Before ... analysis, 107 108 discussed, 95 fixed budgets, 97 100 loyalty programs, 111 new customer information, gathering, 109110 people most influenced by, 106 107 planning, 27 profitability, 100 104 proof-of-concept ... analysis, 107 108 discussed, 95 fixed budgets, 97 100 loyalty programs, 111 new customer information, gathering, 109110 people most influenced by, 106 107 planning, 27 profitability, 100 104 proof-of-concept...
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THE PLANNING OF A CUSTOMER RELATIONSHIP MANAGEMENT PROJECT: REQUIREMENTS AND OPPORTUNITIES pptx

THE PLANNING OF A CUSTOMER RELATIONSHIP MANAGEMENT PROJECT: REQUIREMENTS AND OPPORTUNITIES pptx

... x% of the offer acceptance rate, which is the equivalent of an average increase of revenues with more then y% annually The top management of a company appreciates that the CRM project application ... will allow the achievement of the fundamental objective that consists in the augmentation of the market share, by the means of the campaigns focalized on the reduction of the churn rate and the ... the acquisition of hardware equipments and the implementation of software applications, the network configuration, the system testing, the training of its users and the creation of a plan that...
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Customer relationship management

Customer relationship management

... your ticket to success Customer Relationship Management Defined Customer Relationship Management is a comprehensive approach for creating, maintaining and expanding customer relationships Let’s ... vii Customer Relationship Management Is Not an Option Customer Relationship Management Defined Technology Does Not Equal Strategy The Power of CRM CRM Success Factors CRM Is Here to Stay The Customer ... your approach for customer relationship management? ” we asked “Well, we would like to buy a database management system,” he said, naming a particular Customer Relationship Management Is Not an...
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