ITS70204 BIG DATA MANAGEMENT 2022
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Case Study: Pricing analytics and optimization
Retailers need to know the true profitability of their customers, how markets can be segmented, and the potential of any future opportunities. End-to-end profit and margin analysis can help with identifying pricing improvement opportunities and
areas where profits may be leaking. Retailers need to manage millions of pieces of transaction data and work with many different kinds of data sets to correctly analyze pricing data. (Oracle, n.d.).
To analyze and optimize prices of offered products by retailers, you are required to propose a suitable database solution for managing big data using structured and/or unstructured models to address all the characteristics of big data that retailers and its customers are dealing with.
Your proposed solution should cover the followings:
1. Introduction and background of the proposed solution (10 marks)
1.1. Introduce your proposed solution.
1.2. Describe background of the proposed solution and associated problem(s).
2. Storage structure and requirements (10 marks)
2.1. Explain a relevant storage structure for the proposed solution.
2.2. The required storage technologies and their requirements should be clearly stated.
3. Data processing technologies (10 marks)
3.1. A relevant data processing model or structure of the proposed solution should be presented appropriately.
3.2. The require data processing technologies and their requirements should be clearly stated.
4. Reporting and visualization tools (10 marks)
4.1. A relevant reporting and visualization model or structure of the proposed solution should be presented appropriately.
4.2. The require reporting and visualization tools and their requirements should be clearly stated.