Knowledge and Understanding: Demonstrate a fundamental understanding of the main concepts, theories and challenges in the analysis of Big Data;Knowledge and Understanding: Recognise big data as sources of information for providing meaningful solutions of contemporary business problems;Intellectual, practical, affective and transferrable skills: Develop essential skills to create and analyse big data-sets;Intellectual, practical, affective and transferable skills: Recognise the difference between correlational and causal patterns and its practical implications.You are to consider one example of success (or failure) of integration of Big Data Analytics into decision making of a multinational enterprise. You can choose one of the examples considered during the semester, however, we encourage you to conduct your own research and select a case appropriate for this task.In your essay you have to choose one of the following two tasks (35 marks):Task 1. You are required to critically discuss the impact of Big Data integration on effective decision making. Your answer should display a thorough and extensive engagement with academic literature, and come to the informed judgements of what the impact of integration of Big Data had for the profitability of the company.Task 2. You are required to critically evaluate the literature regarding the success or failure of Big Data adoption by the enterprise, and conclude with an informed judgement why the MNE was successful (or unsuccessful) in their integration of the Big Data approach.The choice of question will be based on the case that you will choose. For example, for the company that successfully managed to increase sales by adoption of the Big Data it makes more sense to select Task 1. Alternatively, for unsuccessful cases, where the company failed to achieve their goals by integration of the Big Data you can select Task 2.Both answers should demonstrate extensive engagement with academic literature.Task 3 below is compulsory for all students (35 marks):You are required to come to a judgement regarding the ability to provide the positive ROI (return on investments) for companies investing in Big Data analytics. Your answer should specifically show an engagement with the academic literature regarding both ROI and Big Data. Your answer should conclude with recommendations as to how the current managers of MNE must approach the integration of the Big Data analytics in their strategy.Please note, that all tasks should be highly linked to the business case that you considered. It is absolutely essential to display good critical and analytical thinking skills. Discussion of the theory and practical case must be maturely related.(70 marks total)
