Question: Global Bike Case Study Metadata The data set for your analysis includes variables related to Global Bike's most recent sales data. You should be familiar
Global Bike Case Study
Metadata
The data set for your analysis includes variables related to Global Bike's most recent sales data. You should be familiar with most of the variables, but here are some hints on this data set.
ProdCat
Product category
CatDescr
Product category description
OrderItem
Line item in the sales order. First line is "10", second is "20", and so on.
Division
"AS" = Accessories, "BI" = Bicycles
UnitOfMeasure
"ST" = stcke in German translates to piece or each in English
Years
2007 through 2019
Problem Statement
The sales team at Global Bike (GB) is concerned about new competitors in the market. A strategic planning meeting is scheduled for the first of the month. Your job is to explore the data and provide insights on GB's current customer base and sales data.
You need to complete the following analyses for the sales team. Be sure to include screen shots to support each of your answers and analyses. Bullet points or numbered items are acceptable for the report format.
1.(35%) Identify two (2) interesting and distinctly different relationships amongst three or more variables of the data set and discuss each briefly. You might hypothesize as to why the relationships are what they are. For example, "It makes sense that X is positively related to Y and Z because they are ...."
a.appropriate visualization to illustrate the relationships you discovered. Use at least three (3) variables for each relationship. Do not use the same three variables for both of your visualizations. Filter, sort and/or rank data if needed and explain what you filter if you do. You might even show the settings in your screen shot. Be sure to identify the aggregation of your measures for each chart, perhaps in the title.
b.Explain to Nina why each of these visualizations is important to her team.
2.(30%) Nina Kane and her colleagues in Germany believe that Global Bike has 4 groups of customers with distinct characteristics. She also knows that customers have changed over the past few years and so any analysis that you provide on the groups should be focused on the newest data available. cluster analysis for Nina. What can you tell Nina about the 4 customer groups? Use the following as a guide to help you answer this question.
a.Define how you clustered the transactions for Nina. What variables did you use? Did you have any preprocessors? If so, what were they?
b.What can you tell Nina about the relationships of the members of each cluster and the clusters' relationships to each other? Perhaps a simple way to is to explain the Summary and/or the Cluster Representations produced by the algorithm. Include screen shots of the cluster results.
c.Explain other characteristics of the clusters by creating properly structured visualizations, (one visualization each), of the following. Hint: be sure to use the cluster number as one of the dimensions in your visualization. Be sure to identify the aggregation of your measures for each chart, perhaps in the title.
(1)Sales revenues by region and product category
(2)Profitability (gross margin ratio) by customer and division
3.(20%) The sales team is also interested in sales trends overall. forecast of sales for the next 48 months. Hint: use Triple Exponential Smoothing instead of R-Triple Exponential Smoothing for this forecast for "better" results.
a.Explain what value of alpha, beta, and gamma you chose and why you chose what you did.
b.Is the forecast reliable? Why or why not?
Hints
geo hierarchy with targeted dimension of City and Geographical level City.
Avoid using column or bar charts for every answer.
Grading Parameters
Did you choose the right model(s) for the question asked?
oDid you get the correct answers to specific questions?
Were you able to accurately explain the results of your model(s)?
explanations show an understanding of the data in the data set?
Did you choose the best visualizations for the data represented?
oDid you choose the correct variables aggregated at the appropriate level for the question at hand?
oAre your visualizations properly formatted, (i.e., titles and legends), and easily interpreted?
(15%) business report writing format: The report is presented in a professional looking document, using informative headings and figures/tables where appropriate and demonstrating technical writing skills.



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