Category | Report | Subject | Business |
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University | University of Bristol | Module Title | EFIMM0139 Social Media and Web Analytics |
Word Count | 3000-words |
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Assessment Type | Summative Assignment |
Assessment Title | individual written report (100%) |
The summative assessment of this unit will be an individual written report-style assignment of 3,000 words (100%). Students will be required to develop a data analytics report for providing practical recommendations to a chosen company. In this assessment, students will collect, integrate, and prepare web and/or social media data. The adopted analysis approaches will have to be critically evaluated and the managerial relevance should be discussed by engaging with relevant academic and practitioner literature. Please note: The chosen company cannot be the same company you worked with for EFIMM0144 (Business Analytics Consulting Project). It must be a new company.
You will be given feedback on your marked report. The following table shows the relationship between the intended learning outcomes for the unit, the headings that are on the feedback form, and the assessment guidelines we will use in considering the mark awarded. You will be assessed mainly on the Quality of the Report (i.e., how you justify your approach and present your results), as well as the Quality of the Analysis you perform and the Quality of the Recommendations you provide. More details can be found below.
Intended Learning Outcomes |
Heading on the feedback form |
Assessment The extent to which these elements have been addressed (not all are relevant to all dissertations) |
(ILO1) Compare the web and social media data analysis with the traditional methods of consumer and marketing research. (ILO2) Justify the use of common web and social media metrics. (ILO3) Apply online tools or computer software for scraping the web and social media data. (ILO4) Critically evaluate different analytical approaches and tools available for analysing web and social media data. (ILO5) Develop practical recommendations through web and social media data analytics.
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Quality of the Report (Up to 60 marks) |
· The report provides a clear project overview with a clear goal. · The report compares web and social media data analysis with traditional methods concerning their suitability for achieving the goal. · The report justifies the web and social media metrics to be used in the analysis. · The report provides a clear description of the analysis performed and the tools used. · The report justifies the analytical approach and tools to be used through critical evaluation. · The report highlights the limitations of the analysis performed and the tools used. · The results included in the report are relevant to the analysis and goal. · The results included in the report are suitably presented and/or visualised. · The report clearly conveys the most important takeaways. · The report is focused, concise, and coherent. · The report is written in clear language with no typos. · References are accurate with a consistent format.
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(ILO3) Apply online tools or computer software for scraping the web and social media data. |
Quality of the Analysis (Up to 20 marks) |
· The hypotheses proposed are clearly defined and aligned with the goal. · The data sources identified are suitable for testing the hypotheses stated. · The scope and depth of the analysis are reasonable given the time available. · Any data pre-processing performed deals with relevant issues regarding the raw/original data. · The analysis is performed, and results are interpreted, correctly concerning the hypotheses proposed. · The analysis adapts appropriately to discoveries in the data.
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(ILO5) Develop practical recommendations through web and social media data analytics. |
Quality of the Recommendations (Up to 20 marks) |
· The recommendations are relevant to the management team in the chosen organisation, with clear justification. · The recommendations are feasible for the chosen organisation to take action, with clear justification. · The recommendations are made based on insights derived from the web and social media analytics performed. · The recommendations are made after reviewing relevant academic and practitioner literature.
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