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this is the whole question As a marketing analytics consultant, you received the following data file from one of your clients who provides services in

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As a marketing analytics consultant, you received the following data file from one of your clients who provides services in B2B market. The client wants to run a segmentation analysis but not sure which variables to include / exclude, and how to think about different steps in the analysis. Price perception: Measured on a scale of 1-10, 1=lowest. 10-highest SQD1: service quality dimension, measured on a scale of 1-5, 1= not at all good, 5- best SQD2: service quality dimension, measured on a scale of 1-5, 1- not at all good, 5- best SQD3: service quality dimension3, measured on a scale of 1-100, 1- not at all good. 100- best Price SQD1 SQD2 Customer ID perception (scale 1-10) SQD3 (Scale 1-100) Iscale 1-5) (scale 1-5) 1 3 4 1 81 2 8 1 49 3 3 1 46 2 1 32 $ 10 3 11 2 5 77 7 1 99 1 7 5 10 3 11 6 2 5 77 7 1 4 5 99 8 2 4 1 7 9 4 5 100 10 7 4 43 11 5 5 86 12 2 32 13 3 19 14 9 4 4 55 15 9 N 2 59 Which variables would you suggest to include (and exclude) in the segmentation analysis? And Why? (10-12 sentences, 4 points) . Based on the variables included in the analysis, what possible challenges you might expect during the analysis phase? And what would you propose overcome those challenges? (12-15 sentences, 6 points) As a marketing analytics consultant, you received the following data file from one of your clients who provides services in B2B market. The client wants to run a segmentation analysis but not sure which variables to include / exclude, and how to think about different steps in the analysis. Price perception: Measured on a scale of 1-10, 1=lowest. 10-highest SQD1: service quality dimension, measured on a scale of 1-5, 1= not at all good, 5- best SQD2: service quality dimension, measured on a scale of 1-5, 1- not at all good, 5- best SQD3: service quality dimension3, measured on a scale of 1-100, 1- not at all good. 100- best Price SQD1 SQD2 Customer ID perception (scale 1-10) SQD3 (Scale 1-100) Iscale 1-5) (scale 1-5) 1 3 4 1 81 2 8 1 49 3 3 1 46 2 1 32 $ 10 3 11 2 5 77 7 1 99 1 7 5 10 3 11 6 2 5 77 7 1 4 5 99 8 2 4 1 7 9 4 5 100 10 7 4 43 11 5 5 86 12 2 32 13 3 19 14 9 4 4 55 15 9 N 2 59 Which variables would you suggest to include (and exclude) in the segmentation analysis? And Why? (10-12 sentences, 4 points) . Based on the variables included in the analysis, what possible challenges you might expect during the analysis phase? And what would you propose overcome those challenges? (12-15 sentences, 6 points)

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