You need to answer Questions 1, 2, 3, and 4 based on a business case: “Champo
Carpets: Improving Business to Business Sales Using Machine Learning Algorithms”. The case has been attached.
With reference to the case, answer all the following questions:
Q1:
a) Identify TWO (2) key business challenges faced by CHAMPO CARPETS and justify your selection. [max 200 words]
b) Propose ONE (1) analytics method/techniques (Clustering, Linear Regression. Logistic Regression or Decision Tree) for each of the challenges
identified in Q1a) and justify your choice for the methods and techniques.
Q2:
Explain how each of your proposed modelling techniques in Question 1 b) can help
Champo Carpet generate insights about the business challenges identified in Question
1 a). [max 250 words]
Q3:
With reference to the predictive models proposed in Question 1b), Justify which evaluation metric(s) (Sensitivity, Accuracy and/or F1 Score) are most appropriate for evaluating the performance of proposed predictive model in the context of the case. [max 250 words]
Q4:
Identify THREE (3) ethical and/or data quality issues that may be faced by Champo
Carpet in their analytical practices. Propose recommendations that may help to
mitigate each of the issues identified. [max 250 words]