COIT20253 Business intelligence using big data science Written Assessment and Tutor Proposal
Central Queensland University
COIT20253 Business intelligence using big data science Written Assessment
Assessment No: 1
COIT20253|Business intelligence using big data science
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COIT20253 Business intelligence using big data science
In this assessment, you are required to choose one of the following industries: Healthcare, Insurance, Retailing, Marketing, Finance, Human resources, Manufacturing, Telecommunications, or Travel. This assessment consists of two parts as follows:
Part A - You are required to prepare a report on how Big Data could create opportunities and help value creation process for your chosen industry.
Part B - You need to identify at least one dataset relevant to the industry and describe what opportunities it could create by using this dataset.
In Part A, you will describe what new business insights you could gain from Big Data, how Big Data could help you to optimise your business, how you could leverage Big Data to create new revenue opportunities for your industry, and how you could use Big Data to transform your industry to introduce new services into new markets. Moreover, you will need to elaborate how you can leverage four big data business drivers- structured, unstructured, low latency data and predictive analytics to create value for your industry. You are also required to use Porter’s Value Chain Analysis model and Porter’s Five Forces Analysis model to identify how the four big data business drivers could impact your business initiatives.
In Part B, among several open source and real-life datasets, you will identify at least one dataset that is relevant to the industry you had chosen. The dataset can be a collection of structured, unstructured or semi-structured data. Using this dataset, you will first discuss how you chose this dataset among other datasets. Then, you will identify and present the metadata of the dataset. Using the chosen dataset, you will need to describe the opportunities it could create for the chosen industry.
The length of the report should be around 2500 words. You are required to do extensive reading of more than 10 articles relevant to Big Data business impacts, opportunities and value creation process. You need to provide in-text referencing of chosen articles.
Your target audience is executive business people who have extensive business experience but limited ICT knowledge. They would like to be informed as to how new Big Data technologies might be beneficial to their business. Please note that a standard report structure, including an executive summary, must be adhered to.
The main body of the report should include (but not limited to) the following topics:
- Big Data Opportunities
- Value Creation using Big Data
- Porter’s Value Chain Analysis
- Porter’s Five Forces Analysis
The length of the report should be around 2500 words. You are required to do an extensive reading of more than 10 articles relevant to Big Data business impacts, opportunities and value creation process. You need to provide in-text referencing of chosen articles.
Your report must have a Cover page (Student name, Student Id, Unit Id, Campus, Lecturer and Tutor name) and a Table of Contents (this should be MS word generated).
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