MKT302A: Customer Analytics at Big Basket - The Nature of Data Analysis in Marketing - Report Writing - Marketing Assignment Help

Assignment Task:

Learning Outcome/s

1. Appraise appropriate analytical techniques for different types of survey data
2. Assess the consequences of sampling and the nature of data analysis in a marketing case study

Assessment instructions The individual presentation covers Topic 1 – 11 and is due at midnight on Monday week 12. This assessment accounts for 40% of the total grading.
Students are required to complete the following.
An individual case study report (2,000 words) (40% of total marks) submitted in week 12 via Turnitin

ASSESSMENT BRIEF

Select one of the following HBP case studies and answer all the following questions.
1. ASICS Chasing a 2020 vision
2. Customer Analytics at Big Basket – Product recommendations
3. CDK Digital Marketing: Addressing Channel Conflict with Data Analytics
4. Predicting consumer tastes with big data

Case study questions

Answer ALL the following with reference to the case study of your choice.
1. Identify and explain how marketing analytics using big data would enable improved customer acquisition/ retention

2. Analyse and provide insights as to how marketing analytics can be used to gain a 360- degree view of target audiences and customers.

3. Aberdeen Group’s Data-Driven Retail study showed that “data-driven retailers enjoy a greater annual increase in brand awareness by 2.7 times (20.1% vs. 7.4%) when compared to all others.” List and describe how the company of choice (case study selected) could leverage big data and analytics to increase brand awareness.

4. List and explain 4 challenges of using relevant analytical, techniques and methods for Strategic Marketing Decision Making.

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