Reference no: EM132120593

Business Analytics and Statistics Research Report Assignment -

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.

a. The variables include:

i. "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.

ii. "Gender" - male or female

iii. 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.

2. The second dataset lists the Shop sales.

a. The variables include:

b. Month of purchase

c. 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)

d. The costs of the goods (COGS)

e. Whether the total purchases were paid with Cash or Credit card

f. The profit total

g. The location ( 1 = front, 2 = middle, 3 = back, 4 = online)

h. 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. Are there any differences in gender on all of the customer attitudes?

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 - 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: 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: 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: 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.