The purpose of assessment is to assess students on the following Learning Outcomes:

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The purpose of assessment is to assess students on the following Learning Outcomes:

LO1: Analyse the growth of big data and need for a scalable processing framework. Synthesize the fundamental characteristics, storage, analysis techniques and the relevant distributions.

LO2: Expertly apply techniques to perform big data query manipulation, evaluate various data storage option and type of aggregated data modelling. Through a critical study, choose an appropriate storage model based on the application requirements for processing large amounts of structured and unstructured data.

Objective

In this assessment you will have to research a small case study and you will need to apply your knowledge to identify the main issues, prioritise, provide insights and to discuss alternatives. You must write a Case Study Report about your company discussing the strategic plan of an organization. To present a case study based on the selected organization’s current analytics strategy and your recommended strategy. Identify a key business initiative for your organization, something the business is trying to accomplish over the next 9 to 12 months. It might be something like improve customer retention, optimize customer acquisition, reduce customer churn, optimize predictive maintenance, reduce revenue theft, and so on.

Brainstorm and write down what (1) customer, (2) product, and (3) operational insights your organization would like to uncover in order to support the targeted business initiative. Start by capturing the different types of descriptive, predictive, and prescriptive questions you’d like to answer about the targeted business initiative. Tip: Don’t worry about whether or not you have the data sources you need to derive the insights you want (yet).

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MITS6005 Case Study

Write down data sources that might be useful in uncovering those key insights. Look both internally and externally for interesting data sources that might be useful. Tip: Think outside the box and imagine that you could access any data source in the world. Be analytical within your report and examine key terms and theoretical relationships in depth.

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