Each project will result in a detailed 10-20 – page written report. The project report should be neat, readable, and self-contained. Also, it should be written with the readers in mind. Any class member should be able to understand your report, and benefit from the results you obtain. Therefore, you should include adequate references and/or background materials and you should use tables, diagrams, graphs, figures, and portions of printouts to enhance readers’ comprehension of your project.
The following format is suggested. You don’t have to follow it exactly. Some sections may not be needed, or additional sections may be necessary. In all cases, please type and paginate your report!
Abstract. It comes first in your report, but you write it last.
Summary. Gives succinct information on the purpose, methods, results and conclusions reported.
Introduction. Include background material and discuss the scope and limitations of your project.
Discussion. The body of your report. This includes the methodology used. Be sure to fully describe any figures, tables or diagrams you include.
Recommendations, especially for future work and unsolved problems.
References must always be included., annotated if possible.
Appendices, including supporting material as needed.
Do not submit complete computer outputs. Relevant excerpts from program listings or output should be included but reduced to the size of the rest of the report and containing either as figures or tables in the text or as an appendix.
calls you into her office to discuss the use of Tableau, data analytic and
visualization software, on an upcoming audit for a client. She highly suggests you learn
how to use Tableau to perform data analytics on sales revenue. Further, she suggests
you read the following articles to prepare for this audit:
Cao, M., R. Chychyla, and T. Stewart. 2015. Big Data analytics in financial
statement audits. Accounting Horizons 29 (2): 423–429.
Raphael, J. 2017. Rethinking the audit. Journal of Accountancy 223 (4): 28–32.
On the ICAEW Website, you may download an excellent report:
ICAEW.com. (2016). Data analytics for external auditors.
Steps to Completion
Step 1: Read the articles recommended by your manager (professor) to gain an
understanding about how big data, data analytics, and new technologies are
transforming external audits.
Step 2: Read the case: Using Visualization Software in the Audit of Revenue
Transactions to Identify Anomalies,
Step 3: Review resources to learn how to use Tableau in Appendix A on the last page
of this document. Collaborate with your online discussion group to learn Tableau tips.
Step 4: Complete the case requirements that start on page 35 of Using Visualization
Software in the Audit of Revenue Transactions to Identify Anomalies.
Step 5: Complete one additional requirement not included in the case;
Prepare a PowerPoint presentation to present your
findings to your manager (professor) and audit team (classmates).
Prepare a Power Point presentation that includes the following:
▪ Graphs, tables, and other data visualization tools to explain your findings
▪ Speakers notes must be placed under each slide.
For this component you will write a report or critique on the paper you chose for Assignment1: the Case Study & Presentation above.
Your report should be limited to approx. 1500 words (not including references). Use 1.5 spacing with a 12 point Times New Roman font. Though your paper will largely be based on the chosen article, you may use other sources to support your discussion or the chosen papers premises. Citation of sources is mandatory and must be in the IEEE style.
Your report or critique must include:
Copyright © 2015-2019 VIT, All Rights Reserved. 4
MITS5509 Assignment 1 and 2
Title Page: The title of the assessment, the name of the paper you are reporting on and its authors, and your name and student ID.
Introduction: Identification of the paper you are critiquing/ reviewing, a statement of the purpose for your report and a brief outline of how you will discuss the selected article (one or two paragraphs).
Body of Report: Describe the intention and content of the article. If it is a research report, discuss the research method (survey, case study, observation, experiment, or other method) and findings. Comment on problems or issues highlighted by the authors. Report on results discussed and discuss the conclusions of the article and how they are relevant to the topics of this Unit of Study.
Conclusion: A summary of the points you have made in the body of the paper. The conclusion should not introduce any ‘new’ material that was not discussed in the body of the paper. (One or two paragraphs)
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.
LO4: Carry out research on emerging Big Data technologies to evolve models/solutions such as configurable and executable compute jobs on top of using distributed and shared memory architecture and Resilient Distributed Data Sets (RDDs).
This assessment expects the student to submit a critique report on a research article related to a Big Data and its current trend technologies. This assessment is designed to improve student presentation skills and to give students experience in researching a topic and writing a report/Critique report relevant to the Unit of Study subject matter. The research articles would be tasked to explore further research trends relevant to the unit content. As further research findings evolve the unit lecturer may supplement or substitute these to keep the research delivery current and updated.
For this component you will prepare a report/critique on an academic paper related to Big data or big data technologies, Big data analytics, Big data security etc. The paper you select must be directly relevant to one of these major topics. The paper can be from any academic conference or other relevant Journal or online sources such as Google Scholar, Academic
department repositories etc. The topic and the related paper need not be later than 2016-17. The selected paper title with their URL may be uploaded on discussions in Moodle for other students as a reference and to avoid duplicity.
This question requires you to consider an organisation that you have previously worked for, or any organisation that you are familiar with. In the following tasks, you will need to think about the role of a dashboard that could assist managers with effective data analysis and communication. Build such a dashboard on your own, and attach a screenshot of the dashboard.
(a) Discuss the appropriateness of using strategic, tactical or operational dashboards in this context.
(b) The management believes that the dashboard can be further improved by having more interactions to help users to explore data at different granularity. Propose one (1) or more filters to promote interactivity.
(c) Recommend the desired charts that will help enhance the dashboard. Justify your recommendations.
(a) Based on the organisation selected in Question 1, state the mission and vision of the organisation and list one (1) of its strategic objectives.
(b) Identify several measurable metrics (e.g., KPIs) that can help to achieve the strategic objective stated in Question 2(a) and discuss your rationale.
The organisation that you have selected in Question 1 had collected customer feedback (written in free-format texts) over the years and would like to apply text mining in order to understand their customers better. Explain the benefits of the project and outline five (5) challenges that the organisation is likely to face with analysing textual data. Suggest matching text mining functions that can be applied to overcome the challenges identified.
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