Business analytics and intelligence

Business analytics and intelligence

  1. Define and evaluate key concepts of business analytics.
  2. Critically apply business analytics skills for decision making.
  3. Critically analyse and interpret the outputs of data mining models and forecasting results for end-users.
  4. Solve managerial problems and make systematic decisions by applying business data analysis techniques.
  5. Have ability to apply business analytics to various international business contexts by

selecting appropriate techniques.

This is an individual Assignment.

Task One-Business analytics concepts [20 marks]

  1. Describe what you have learned about the Clustering Analysis. Give proper example for that [8 marks]
  2. Critically discuss and analyse five published papers which have used Clustering method with proper explanation. The technique, its application and the results need to be interpreted properly [12 marks]

Task Two- Marketing Analytics [40 marks]

By analyzing previous historical data for a sofa sale company, it can be seen that the sale volume has been changed according to its price in different periods. The values have been reported in the following table. This company is going to launch a new product and the price needs to be decided based on the market analysis. Determine the appropriate price for the new developed sofa with the aim of maximizing the company’s profit. The demand of new product has a direct relationship to its price.

Table 1- Demands of a sofa based on a price level according to previous experiences

Price (£) Demand
1150 280
1185 270
1210 252
1235 230
1260 210
1285 200
1310 180
1335 170
1360 164
1385 160
1410 154
1435 148
1460 144
1485 143
1510 140
1540 139
1135 307
1160 279
1185 276

The main objective of the company is to maximize profit regarding to the new product. It is assumed that the unit production and supply cost of each sofa is £880, so the profit of each unit will be (the sale price – unit production cost).

  1. a) Use Excel to determine the estimated demand quadratic equation function and describe why quadratic form is preferred. [5 marks]
  2. b) Use Excel solver to find the optimal price which maximizes the company’s profit. [5 marks]
  3. c) Determine the optimal demand. [5 marks]
  4. d) Compute the optimal profit. [5 marks]
  5. e) Interpret the results. [5 marks]
  6. f) If the supply cost of each sofa is 750 and then 1050 determine the optimal price and interpret the results appropriately. [10 marks]
  7. g) The company has decided to set the price more than 1200 GBP, then what will be the optimal price? Interpret the results [5 marks]

 

Task Three- Forecasting [40 marks]

Suppose that you have gathered sales data of company XYZ from 2014-2020 in different quarters. You are going to consider the company sales value and to forecast the company amount of sales in 2021 in different quarters. Look at the gathered data of previous years related to the amount of sales in each quarter which have been reported in Table 2.

Table 2- Data of amount of sales among previous years

Year Q Revenue Four Moving average Baseline Seasonalit y Deseasonality Trend Forecast Error MAD Error MSE MA PE
2014 1 370.0
2014 2 585.0
2014 3 930.0
2014 4 493.7
2015 1 433.3
2015 2 624.3
2015 3 1010.8
2015 4 510.2
2016 1 449.6
2016 2 648.3
2016 3 1045.0
2016 4 528.9
2017 1 472.0
2017 2 685.8
2017 3 1120.8
2017 4 576.8
2018 1 517.0
2018 2 758.6
2018 3 1244.4
2018 4 629.9
2019 1 558.9
2019 2 810.1
2019 3 1311.0
2019 4 663.5
2020 1 588.0
2020 2 851.5
2020 3 1376.0
2020 4 688.0
  1. Plot the data and describe the main features of the series. [5 marks]
  2. Compute the four-period moving average and enter your values in the appropriate columns. Calculate the

Assignment Brief Template Page 3 of 10

This document is for Coventry University students for their own use in completing their assessed work for this module and should not be passed to third parties or posted on any website. Any infringements of this rule should be reported to acreg.fbl@coventry.ac.uk

Centered Moving Average (CMA)/Baseline. Interpret it. [5 marks].

  1. Calculate the Trend and interpret the trend. [5 marks].
  2. Determine the Seasonality (St) and interpret it properly [5 Marks].
  3. Forecast the revenue for 8 th year [5 Marks].
  4. Calculate the Error, mean absolute percentage error (MAPE), Mean Square Error (MSE) and Mean Absolute Deviation (MAD). [10 marks]
  5. Write a brief report to explain and evaluate and make comments on the error variables, the forecasted and actual revenues [5 marks].

This assignment is an individual assignment.

Criteria for Assessment

  •  Knowledge and Understanding (Addresses LOs)-30%
  •  Critical Analysis, Evaluation and Application of Theory-30%
  •  Academic writing (accurate citations and referencing)-10%
  •  Quality of Research (Evidence of reading, use of resources and research)-20%
  •  Presentation style (present work in a professional manner, grammatical errors, pitch, pace and tone at the appropriate levels, visually appealing)-10%

Word Count

The word count is 2250 words
There will be a penalty of a deduction of 10% of the mark (after internal moderation) for work exceeding the

word limit by 10% or more.
The word limit includes quotations and citations, but excludes the references list.

 

 

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