MANU-2491 – Digital Applications for Fashion Enterprise Trend & Data Folio - Management Assignment Help

Assignment Task:

Task:

PART A – Data research and summarisation (50%)

STEP 1: Data Analysis Process Outcome: To submit a MS Word report on your data research and summarisation process (35%)

Process: 1. You are required to use the given data to meet the following requirements below and answer each of the parts:

a. Choose one brand Uniqlo or GUCCI

b. Using Excel functions predict the next season sales values for all the styles.

Refer the table below for the next season timeperiod: Brand Next Season Uniqlo Sept-2021 to Feb-2022 GUCCI March 2022 to Aug 2022 c. From the predicted sales values, Identify the style/s that is expected to generate highest revenue in the nextseason d. Based on your analysis, Identify the style/s that could be dropped from the collection for the next season e. Using Excel formulas and functions create the Report sheet as shown in the cover sheet of the Data file.

STEP 2: Written Report Outcome: To submit a MS Word report on your data research and summarisation process (15%)

2. You are required to write a report to explain the data analysis process and summarise your findings. Use the following structure for the report. RMIT Classification: Trusted MANU-2491 – Digital Applications for Fashion Enterprise – 1 Assignment-2 Page 2 of 2 RMIT Classification: Trusted Suggested Layout for the Excel Written Report 1 Cover page (Assessment title + brand name + student name) 2 Introduction for the Report and the Brand, including the purpose of the report 3 Analysis Process Briefly explain the analysis approach by including the functions and or the formulas used. Your explanation is to give reasoning for the selection of the formulas. 4 Findings List the styles that you expect to perform well in the next season. List the styles that you wish to drop from the collection. Provide reasoning

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