BUS501 – Business Analytics and Statistics Research Report USC

BUS501 – Business Analytics and Statistics Research Report USC
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BUS501 – Business Analytics and Statistics

Research Report

USC

This is an individual assessment

This assignment is based on fictional data – do not contact the company listed below.

You are creating a business report for the CEO of a retail company called, Athlete Panda. It must be professional in presentation and contain insightful content for them to make business decisions.

Both data sets are from a small retail store that sells athletic clothing, shoes and products. The business is divided into a number of areas including Men’s, Women’s, Boys, Girls, and Customisation. The product range includes shoes, clothing, accessories and sporting equipment. The customisation section allows customers to customise their sneakers depending on use, such as lifestyle, running, gym & training, football, basketball and skateboarding. There are also options to customise the children’s line.

The shops stocks brands such as Nike, Adidas, Puma, New Balance, Under Armour, ASICS, and Converse.

The brick and mortar shop has been open for about five years and has just started trading online for one year.

 

You have been given two data sets and the data is inclusive of a whole year of trading.

  1. The first dataset labelled “Customer attributes” lists the results of an online survey given to customers.

    1. The variables include:

      1. “User_Group” which shows how often people visit the store, where “Not often” is defined as less than once a fortnight/month, “Moderate” is once a fortnight, “Often” is more than once a week.
      2. “Gender” – male or female

  • The dataset also lists the customer attitudes which is six variables consisting of: “Knowledge”, “Satisfaction”, “Preference”, “Purchase intentions”, “Loyalty” and “Recommend”

These items were measured on a 7-point Likert scale. See values column for exact wording.

  1. The second dataset lists the Shop sales.

    1. The variables include:
    2. Month of purchase
    3. Product category (1= men shoes, 2 = men’s clothing, 3 = women’s shoes, 4 = women’s clothing, 5 = customise, 6 = boys shoes, 7 = boys clothing, 8 = girls shoes, 9 = girls clothing)
    4. The costs of the goods (COGS)
    5. Whether the total purchases were paid with Cash or Credit card
    6. The profit total
    7. The location ( 1 = front, 2 = middle, 3 = back, 4 = online)
    8. Whether it was on the website or in the store (1 = website, 2 = store)

 

The CEO states that the main challenges in the business are profit, Cost of Goods (COGS margins) and how to increase sales. They want to know how to increase sales and how their customers feel about the store.

 

Task instructions:

 

Using what you have learned in the lectures and the tutorials answer the main research questions below. Then consider the dataset and answer any other research questions you can identify that are meaningful to the CEO.

 

As guide – answer these main research questions:

  1. Which product categories are making the most profit?
  2. Which product category costs the most (COGS)?
  3. Is there a difference in payments methods?
  4. Is there a difference in store location and sales?
  5. Are there any differences in the user groups on all of the customer attitudes? (6 outcomes)
  6. Are there any differences in gender on all of the customer attitudes? (6 outcomes)

 

There are other research questions you should consider and report on at least one.

Do not worry if you are using a lot of the same analysis to report on the research questions.

 

There are right and wrong answers when it comes to statistical analysis. You must know and demonstrate your knowledge of this. Hint: Do not confuse t-tests with ANOVA.

 

Report structure:

 

  • Cover page/Title Page – Name, student number, tutor information, word count
  • Table of contents (could also include a list of figures / graphs / tables)
  • Introduction (2 marks) – Introduce the business and its problems.

    • Describe the company, what does it do, what is the company profile. Paraphrase this information and add to it as it is an imaginary company.

  • Problem definition and business intelligence required (3 marks):

    • List each of the research questions and list what analytics methods you have chosen to answer each question and why. Use references to academic definitions of the statistics, such as textbooks and journal articles.

      • For example, if you used an ANOVA – list the research question, explain why an ANOVA was most appropriate by defining what an ANOVA is and does (use references to statistical textbooks and websites).

    • Results of the selected analytics methods and technical analysis (25 marks):

      • Use each research question as a heading
      • Present the relevant descriptive statistics through data visualization/ graphical displays (Tables, graphs, pie charts etc.).
      • Present the main analysis results and explain them.
      • Higher marks for including extra research questions not defined in this document and creating nice tables/displays opposed to copy and pasting directly from SPSS output.

    • Discussion of the results and recommendations (5 marks):

      • Based on the analyses what conclusions about the business can be summarized/drawn and what recommendations can be offered to the CEO.

    • References – list of references in either Harvard or APA formatting
    • Appendix – Include copies of the output from SPSS exactly as it is

 

Report formatting (5 marks):

Font size 12 Times New roman, double spacing, word count 1,500-2,000. Note. The word count does not include headings, tables, graphs/figures or the reference list.

 

 

 

See below for the marking criteria sheet

 

 

 

 Levels of Achievement
CriteriaHigh DistinctionDistinctionCreditPassFail
Criteria 1:

Introduction

(2 marks)

 

 

85 to 100 %

Demonstrates comprehensive and insightful knowledge of the business with an in-depth introduction to the business and the problems. The introduction covers who the company is and what it does.

75 to 84 %

Demonstrates mostly comprehensive and insightful knowledge of the business. Most elements of the business are covered such as, what the business does.

 

65 to 74 %

Demonstrates some knowledge of the business with the problems mostly outlined. Some elements of what the company profile is.

50 to 64 %

Basic knowledge of the business demonstrated with the assignment information given but no extra information included.

 

 

0 to 49 %

Little or no knowledge of the business with the website not referred to or consulted. Does not introduce the business or fails to explain the business and its problems.

Criteria 2:

Problem definition and business intelligence required

(3 marks)

85 to 100 %

Each problem and the business intelligence/statistics required are described and explained with references where appropriate to literature.

 

75 to 84 %

Each problem and the business intelligence/statistics required are mostly explained with some references where appropriate to literature.

65 to 74 %

Demonstrates some knowledge of the problems and the business intelligence/statistics required. With minimal references to literature.

50 to 64 %

Basic knowledge of the business questions and the statistics used are outlined with some explanation as to why these were used.

0 to 49 %

Little information concerning the report questions and the statistics used to answer them. The analyses are outlined but no explanations given.

Criteria 3: Results of the selected analytics methods and technical analysis

(25 marks)

 

Demonstrates comprehensive and insightful knowledge of the use of business analytic tools to answer the report questions and others identified by the student in the data set. The selected methods are first presented with the use of descriptive statistics and data visualisation. Then the main analysis is presented. Use of statistical terminology is extensive and correct. The level of interpretation of the statistics meets professional standards of the discipline with no errors in interpretation and/or presentation.

 

Demonstrates mostly comprehensive and insightful knowledge of the use of business analytic tools to answer the report questions and others identified in the data set. The selected methods are first presented with the use of descriptive statistics and data visualisation. Use of statistical terminology is extensive and largely correct. The level of interpretation of the statistics mostly meets professional standards of the discipline with little errors in interpretation and/or presentation.Demonstrates some knowledge of the use of business analytic tools to answer the report questions. Use of statistical terminology mostly correct. The selected methods are first presented with the use of descriptive statistics and data visualisation, some elements missing. The level of interpretation of the statistics meets standards but some errors in interpretation or presentation.Basic knowledge of the use of business analytic tools to answer the report questions. The selected methods are first presented with the use of descriptive statistics and data visualisation, several elements missing. Use of statistical terminology fairly correct. The level of interpretation of the statistics meets standards but some errors in interpretation or presentation.Little or no knowledge of the use of business analytic tools to answer the report questions. Use of statistical terminology inconsistent and not correct. The level of interpretation of the statistics fails in terms of presentation and interpretation.
Criteria 4: Discussion of the results and recommendations (7 marks)The recommendations are highly appropriate, integrated with the results, and supported by results/literature. The entire report is presented as a consistent whole.The recommendations are appropriate, integrated with the results, and supported.The recommendations are fairly appropriate and fairly supported. With some instances missing.The recommendations are appropriate, however lacking some instances and needing more. Or inappropriate suggestions are made.The recommendations are lacking and are not supported. Inappropriate suggestions are made or there are no suggestions at all.
Criteria 5:

Report formatting

(3 marks)

 

The meaning is consistently clear. Use of discipline terminology is confident and assured. The level of presentation meets professional standards of the discipline, and there is a high level of attention to detail regarding the results tables and graphics (not just cut and paste from SPSS output. Little/no errors in grammar, syntax and spelling. Referencing and citations are appropriate and integrated.The meaning is clear. Use of discipline terminology is extensive and largely correct. The level of presentation meets professional standards of the discipline, and there is attention to detail. SPSS output has not been copied and pasted into the results. The grammar, syntax and spelling are near perfect. Referencing and citations are appropriate.Overall meaning is clear though there are minor instances of awkward/ambiguous expression. Use of discipline terminology is adequate. The level of presentation mostly meets professional standards of the discipline, with some lapses in detail in e.g. SPSS output not used, grammar, syntax and spelling good. Referencing and/or citation errors.The intended meaning can be discerned but lacks clarity and/or examples of awkward/ambiguous expression. Limited discipline terminology with minor inaccuracies. Some use of SPSS output in the report. Some professionalism but significant lapses in grammar syntax and spelling. Referencing and/or citation errors.Use of language fails to make meaning clear; many errors of grammar, syntax and spelling, range of mistakes indicating lack of editing and proofreading. Limited or incorrect use of discipline terminology. Poor referencing and citation errors.

 

BUS501 – Business Analytics and Statistics Research Report USC
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