Reference no: EM133522547
Business Intelligence using Big Data
In this assessment, you will be presenting your big data strategy document by choosing an application of Big Data in one of the following industries: Healthcare, Insurance, Retailing, Marketing, Finance, Human resources, Manufacturing, Telecommunications, or Travel. You can choose the same industry as your Assessment-1. You will develop a strategy document for the business application of your choice using the dataset that you identified in Assessment-1 and deliver a presentation based on this strategy document.
In the first step, you will come up with a targeted business strategy. You will then break down the business strategy into associate key business initiatives, followed by outcomes and critical success factors to support those business initiatives. Afterwards you will identify the specific tasks that need to be executed to support the targeted business initiatives.
Next, you will identify the data sources required to support your business initiatives in addition to the datasets that you have chosen in Assessment-1.
Once you have completed the strategy document, you will turn the strategies into actions by identifying the Big Data analytics, business intelligence requirements. You will also specify how the data will be used to gain actionable insights that would help your business initiatives.
The process of creating the strategy document and turning those strategies into actions and the outcomes of the process should be clearly illustrated in your presentation.
Assessment:
You will be assessed based on your ability to develop Big Data strategies for data-centric organisations to meet client requirements, and to apply Big Data architecture, tools, and technologies for decision making and problem-solving.
The marking criteria for this assessment are as follows. Demonstrated Understanding of Strategy Document - 6 marks Turning Strategies into Actions
Clarity, Consistency and Structure of Presentation
Use of Quality References
Visual Aids
Time Management
Quality Response to Questions