GSBS6002 Business Case Study 分析作业 assignment 2 代写
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	GSBS6002 Business Case Study 分析作业 assignment 2 代写
	
	
	 
	GSBS6002
	Foundations of Business Analysis
	Trimester 1, 2017 
	Assessment 2
	Weight: 35%
	Total Marks: 100
	Due time and date:  23.59AEDT, Sunday, 9 April, 2017
	Submission instructions:
	1. Maximum word length: 3000 words (excluding references, tables and figures).
	2. Submit a soft copy in Word format via Turnitin.
	3. Assignments submitted by other means (e.g. email) or forms (scanned copy, Excel document)
	will attract no marks.
	Late submissions:
	The mark for an assessment item submitted after the designated time on the due date, without an
	approved extension of time, will be reduced by 10% of the possible maximum mark for that
	assessment item for each day or part day that the assessment item is late.
	Note: this applies equally to week and weekend days.
	Case Study – Visa Inc.
	Visa Inc. operates the world's largest retail electronic payments network and is one of the
	most recognised global financial services brands. It facilitates global commerce through the
	transfer of value and information among financial institutions, merchants, consumers,
	businesses and government entities.
	Page 2 of 7
	To address online fraud, Visa requires information on the effectiveness of its online security system
	via customer experiences with fraudulent behaviours in order to maintain and/or improve Visa’s
	market share.
	The research team, which you are part of, has collected data to assess the effectiveness of Visa Inc.
	online security system. Data on customer experience regarding personal fraud is also collected. A
	simple random sample of 2000 customers was selected. Of the 2000 customers to whom surveys were
	sent, 420 responded. The survey used to collect data is provided below and the survey responses have
	been collated in the dataset named Visa_Inc.xlsx file available under the Assessment folder in UoN
	Blackboard. You are required to write a report after performing analysis on the data collected from
	the customers of Visa Inc.
	A member of the research team has suggested that a series of hypothesis tests should be conducted
	to examine the following:
	1. Is the number of card fraud experience the same across gender?
	2. Are there differences across the age groups regarding card fraud?
	3. What is the average time lost in resolving a card fraud? If Visa Inc. has set a time-period
	which is acceptable at 12 hours, will this be a significant improvement to the response time
	compared to what customers have experienced before?
	4. How often does an online or offline card fraud occur? Visa Inc. is willing to invest in an
	updated online security which will decrease the number of online card fraud only if online
	transactions are more vulnerable to fraud compared to offline transactions. What is your
	recommendation?
	5. Do any of the customers’ satisfaction scores of ‘response time’, ‘the level of advice’, and ‘the
	level of communication’ influence the overall satisfaction with the credit card fraud
	resolution team?
	Required:
	Write a data analysis report that provides the results to each of the five hypothesis tests above and
	make overall recommendations to Visa Inc. that management can use for future business decision-
	making. Based on your analysis relating to these hypotheses, your report should focus on two key
	issues: the current experience of personal fraud and the strategy or strategies that would be most
	effective to increase customer satisfaction.
	Page 3 of 7
	Customer Experience Survey
	Section 1: Experienced Card Fraud
	Question 1 –Whether experienced credit, debit or EFTPOS card fraud in last 12 months
	1. Experienced credit, debit or EFTPOS card fraud in last 12 months
	2. Did not experience credit, debit or EFTPOS card fraud in last 12 months
	Question 2 – Number of times experienced offline card fraud in last 12 months
	_____________
	9999. Not applicable
	Question 3 – Number of times experienced online card fraud in last 12 months
	_____________
	9999. Not applicable
	Section 2: Card Fraud Resolution Experience
	Please answer this section only if you have experienced a credit card fraud and have attempted to
	resolve the fraud with the credit card service provider.
	Question 4 – Amount of time lost in resolving the most recent incident of credit card fraud
	_____________
	Please Circle the number that corresponds with your level of agreement with statements below.
	Strongly Disagree = 1 and Strongly Agree = 10
	Question 5 – Overall, I am satisfied with my experience with the card fraud resolution team.
	1  2  3  4  5  6  7  8  9  10
	Question 6 – I am satisfied with the response time of the card fraud resolution team.
	1  2  3  4  5  6  7  8  9  10
	Question 7 – I am satisfied with the level of advice the card fraud resolution team provided me on
	methods to prevent online card fraud in the future.
	1  2  3  4  5  6  7  8  9  10
	Page 4 of 7
	Question 8 – I am satisfied with the level of communication with staff and management at the card
	fraud resolution team.
	1  2  3  4  5  6  7  8  9  10
	Section 3: Personal information
	Please complete the following information about yourself.
	Question 9 – What is your gender?
	Male Female
	Question 10 – Please check the box that indicates your age group.
	25 years and below (Age Group 1)
	26-35 years (Age Group 2) 
	36-45years (Age Group 3)
	46-55 years (Age Group 4) 
	56 and over (Age Group 5)
	Page 5 of 7
	Report Structure
	Please follow the following sequence in the report structure:
	?  Executive Summary
	?  Introduction
	?  Research Design
	?  Hypothesis Development
	?  Statistical Technique and Justification
	?  Results, and Statistical and non-statistical interpretation
	?  Analysis and Summary of the statistical results
	?  Recommendations
	?  References
	Executive Summary
	This section should provide a brief overview of the data analysis report. You should discuss the subject
	matter, the method of analysis, the findings and recommendations and any limitations of the report.
	It is suggested that the Executive Summary should be the last section that you write.
	Introduction
	Provide a brief background to the case to put your analysis in context. Provide a discussion of the
	objectives of your analysis.
	Research Design
	Discuss the data collection process and the sampling procedures that were applied. In this section,
	you should also outline the ethical considerations that would have been taken into account when
	collecting data from this survey and reporting your results. This section should include references.
	Hypothesis Development
	You need to develop hypothesis linked to each question on page 2. You should mention the question
	first and then write corresponding null and alternate hypotheses.
	For example:
	Question: How much are potential patrons willing to pay for the entrées? Is the $18 amount from
	the forecasting model the correct value to use when setting food prices?
	Null hypothesis (H 0 ): The average amount patrons are willing to spend on the entrée course is equal
	to $18.
	Alternate hypothesis (H A ): The average amount patrons are willing to spend on the entrée course is
	not equal to $18.
	Statistical Technique and Justification
	You should categorically mention which statistical technique is used to test a particular hypothesis.
	Sufficient justification should be provided for choosing a statistical technique. You should mention
	Page 6 of 7
	whether you are comparing the means or measuring the degree of relationship between/among the
	relevant variables. Use credible academic references.
	For example:
	To test hypothesis one, one-sample t-test is used as this is the appropriate test to compare the
	difference between mean of one variable and a pre-determined mean (Zikmund, Babin, Carr, &
	Griffin, 2012, p. 520).
	Results, and Statistical and non-statistical Interpretation
	In this section, you should present your empirical result and then provide statistical and non-statistical
	interpretation of the result.
	For example:
	Table 1: One-sample t-test for difference in patron expenditure
	Variable 1  Variable 2
	Mean  20.14118  18
	Variance  91.85022  0
	Observations  340  340
	Hypothesized Mean
	Difference  0
	df  339
	t Stat  4.119569
	P(T<=t) one-tail  2.39E-05
	t Critical one-tail  1.649361
	P(T<=t) two-tail  0.0000477
	t Critical two-tail  1.966986
	Statistical interpretation:
	From Table 1, it is evident that t-calculated (4.119) is greater than t-critical (1.967) and p-value is less
	than the significance level (5% level of significance), thus, we can reject that null hypothesis that the
	average patron is willing to pay $18 for their entrée (p-value 0.0000477) at 5% level of significance.
	Non-statistical interpretation:
	The average expenditure ($20.14) is greater than $18 (value obtained from forecasting model).
	Therefore, the average expenditure value should be used when pricing foods in the restaurant.
	Analysis and Summary of the Statistical Results
	Synthesise the hypothesis test results as they relate to the two key research questions: the current
	degree of customer satisfaction and the strategy or strategies that would be most effective to
	Page 7 of 7
	increase customer satisfaction. Report a summary of your key findings and the conclusions that can
	be derived from this analysis.
	Recommendations
	Provide recommendations to Visa Inc. Each recommendation should be linked to one of your key
	findings presented in the previous section. Bullet points can be used for the recommendations.
	References
	
	GSBS6002 Business Case Study 分析作业 assignment 2 代写
	American Psychological Association (APA) 6th Edition of referencing style should be followed. You can
	find helpful examples of APA 6th ed. citation in pp 27–41 of the 2015 NBS Postgraduate Student
	Manual as well as at http://www.apastyle.org/index.aspx.
	Example
	Zikmund, W., Babin, B., Carr, J., & Griffin, M. (2012). Business research methods (9th ed.): Cengage
	Learning.
	
	
	GSBS6002 Business Case Study 分析作业 assignment 2 代写