Assessment Information Subject Code: BUS105 Subject Name: Business Information Systems Assessment Title: The Challenges of Big Data Length: 1000 words Weighting: 30% Total Marks: 30 Submission: Use Turnitin Due Date: Monday 5th June 2017, 15:55pm AEST Software required: Microsoft office, i.e. the assignment is to be completed in Word and converted to a PDF file (see assignment submission section for more details). The report should be written in 12-point font with 1.5 line spacing. NOTE: This assignment is worth 30 marks (scaled to 30% of your marks for the trimester) and is to be done in a group of 2 to 4 students. Assessment Description: Your Instructions Write a group report (citing your sources of information) on big data which includes the following four sections and references. All paragraphs should be in your own words. Section 1. Introduce the idea of big data including what is meant by the term "big data", how it is currently being collected and stored. Also provide an overview of your group report, e.g. aims and summary of the report. (200 words) Section 2: What are the benefits, opportunities/uses and challenges of big data for business and customers? (400 words) Section 3: What are the ethical and security issues surrounding big data? (250 words) Section 4: Write a summary with recommendations for business owners wanting to use big data.(150 words) References: Note that you are expected to cite at least five references (sources of information). See the KBS Harvard referencing guide on the Portal, i.e. http://elearning.kbs.edu.au/pluginfile.php/96066/course/section/20681/KBS_Harvard_Referencing _Concise_Guide_v1_2015.pdf NOTE: Your report should have clear and appropriately labelled sections, e.g. Introduction, References, etc., and each paragraph should be well thought out. Links to some useful articles on big data are listed here. http://ieeexplore.ieee.org/document/6527259/ http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.479.290&rep=rep1&type=pdf https://www.sussex.ac.uk/webteam/gateway/file.php?name=schroeder-sussex-bigdata.pdf&site=25 https:/datafloq.com/read/the-power-of-real-time-big-data/225 www.mckinsey.com/~/media/McKinsey/.../MGI_big_data_exec_summary.ashx https://scholar.google.com.au/scholar?as_sdt=2006&q=big+data+security&hl=en Assignment Submission Students must submit their individual analysis via Turnitin on Monday 5th June 2017 15:55pm AEST. This file must be submitted as a ‘PDF’ document to avoid any technical issues that may occur from incorrect file format upload. Uploaded files with a virus will not be considered as a legitimate submission. Turnitin system will notify you if there is any issue with the submitted file. In this case, you must contact your lecturer via email and provide a brief description of the issue and a screen shot of the Turnitin error message. Students are also encouraged to submit their work well in advance of the time deadline to avoid any possible delay with Turnitin similarity report generation or any other technical difficulties. Late assignment submission penalties Penalties will be imposed on late assignment submissions in accordance with Kaplan Business School “late assignment submission penalties” policy. Number of days Penalty 1*-9 days 5% per day for each calendar day late deducted from the student’s total marks 10-14 days 50% deducted from the student’s total marks. After 14 days Assignments that are submitted more than 14 calendar days after the due date will not be accepted and the student will receive a mark of zero for the assignment(s). Note Notwithstanding the above penalty rules, assignments will also be given a mark of zero if they are submitted after assignments have been returned to students *Assignments submitted at any stage within the first 24 hours after deadline will be considered to be one day late and therefore subject to the associated penalty If you are unable to complete this assessment by the due date/time, please refer to the“ Special Consideration Application”, which is available at http://www.kbs.edu.au/wp-content/uploads/2015/12/KBS-Assessment-Policyv4.2. Simplified Marking Rubric/check list It is possibly easiest to think of each of these items as having two marks each allocated to them. Hence, there are 15 items and 30 marks. Task completed yes No A report with an appropriate structure, sections and labels, has been provided, e.g. Introduction The introduction provides aims and summary of the report Methods of collecting/gathering data are mentioned Ways in which data is stored are mentioned Benefits of big data to customers and businesses are clearly stated Opportunities for customers and businesses are clearly stated Challenges for businesses and customers are clearly stated Ethical issues around big data have been discussed Security issues around big data have been discussed A clear summary which wraps up the report has been provided Recommendations for business owners have been supplied The reference list is in alphabetical order References have the Harvard referencing format, including in-text referencing At least five references are listed and any additional references are credible Content in each paragraph matches the references supplied