Part A: Can you see Patterns in these Customer data? Tell the story that you see in the data. Looking for insights not facts.

Part B: This is a conventional mapping of brand attributes data using semantic Scales. What are the pros and cons, Limitations and possibilities for Semantic Scales.Conventional Mapping Using

Semantic Scales

Company provides adequate incurance coverage for my car.

Company will not canoel policy because of age, acoident experience, or

heath problems.

Finendy and considerale.

Setles claims taily.

hefficent, hard to deal with.

Provides good advice about types and amounts of coverage ib by$.$

Too big to care about individual customers.

Explains things clearly.

Premium rates are lower than mostcompanies.

Has personnel avalable for questons all over the county.

Wil aise premiums because of age.

Takes a bog ime to settie a clain.

Very protessionalimodem.

Specialists in serving my local area.

Ouick, reliable servioe, easly access ble.

A "good otianen" in community.

Has complete line of insurance products avalable.

I widely known "name company".

t very aggressive, rapidy growing company.

Provides advice on how to avoid acoidents.