MBAS903 - Business Analytics Applications & Demographics Regional Data of The Respondents - Business Assignment Help

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Purpose: Prepare a report for your client PVA to allow them to gain insights into the factors affecting purchasing behavior.

Business Analytics Applications: descriptive analytics, regression analysis (linear and logistic)

Background: Paralyzed Veterans of America (PVA) is a not-for-profit organization that provides programs and services for US veterans with spinal cord injuries or disease.  With an in-house database of over 13 million donors, PVA is also one of the largest direct mail fundraisers in the country.

The PVA data represent the results of a mail campaign to solicit donations.

 

The data set contains the following information:

flag to indicate respondents to the appeal and the dollar amount of their donations (Target Gift Flag and Target Gift Amount)

respondents’ PVA promotion and giving history

demographic and regional data of the respondents

 

Guidelines: Develop a range of models to help PVA understand the factors affecting purchasing behavior, including the likelihood of a customer making a purchase, as well as the purchase amount. Dependent variables will be Target Gift Flag and Target Gift Amount. Conduct a literature review of published research in the area. You are free to choose from the remainder of the dataset for explanatory variables. You should also experiment with a range of modeling options when choosing your preferred models – transforming variables, filters, and outliers, default vs selective choice of variables. Document your process, however, focus on the discussion and interpretation of 2-3 preferred models only.    

 

Format: Business report for a client

Executive summary – overview of the full project including brief summary of results 

Introduction – set the scene and background of issue/problem (broad to specific issues) 

Literature review – conduct research on similar studies (4-5 papers minimum) and critique approaches used, methods, variables, results

Methodology – discuss the rationale and steps for your analytics process (ie. details of descriptive analytics and modelling you plan to do) 

Body and analysis – present, discuss and interpret your results 

Conclusions – wrap up the exercise with recommendations for the client and limitations of your analysis.

 


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