Prepare a report for your client Paralyzed Veterans of America (PVA) to allow them to gain insights into ALL possible

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Purpose: Prepare a report for your client Paralyzed Veterans of America (PVA) to allow them to gain insights into ALL possible  factors that may influence donations 

in the target promotion.

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

Background: Paralyzed Veterans of America (PVA) is a not-for-profit organisation 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 fund

raisers in the country.

 

The BIGPVA dataset in SAS contains data on customers’ demographic information, past donation behaviour and response to a current promotion event.    

 

Guidelines: Develop an appropriate regression for “Target Gift Amount” and another one for “Target Gift Flag”. Whereas target gift amount records the donation value, target gift flag records whether a donation was made (=1) or not (=0). You may use all variables in your analysis.   

 

Format: Business report for client

Executive summary – one paragraph overview of full project including summary of results - 5 marks

Introduction – set the scene and background of issue/problem (broad to specific issues) – 10 marks

Literature review – critical summary of research literature relating to models addressing similar types of problems (charity donations or sales in general where there is demographic and / or customer history data used). Start with a very short summary of each paper, then structure your paragraphs around themes you identify (eg. variables used, methods) and discuss similarities or differences you identify in your research. Do not simply describe each article one by one  – aim for at least 4 journal articles) - 20 marks

Methodology – discuss the process you will follow (eg. Descriptive analytics, checking for multicollinearity between x variables, process of explanatory variable selection and treatment of outliers etc – no results to appear in this section)  – 15 marks

Body and analysis – descriptive analytics results, quick summary of the process and steps ultimately taken in your regression analysis then focus most of this section on presentation, discussion and interpret of the chosen models– 40 marks

Conclusions – wrap up the exercise with recommendations for client – 10 marks

 

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