Assessment item 2—Assignment 2 Due date: 11:00pm AEST, Friday, Week 12 All students are to submit electronically – max file size is 5Mb. ASSESSMENT Weighting: 60% 2 Length: Refer to individual section requirements Objectives This assessment item relates to course learning outcomes numbers 3, 4 and 5 as stated on page 1 of the course profile. 3. analyse the information needs of decision makers and apply the results to business performance reporting 4. evaluate the role of Business Intelligence and Decision Support Systems tools in organisations at the enterprise level 5. describe role of knowledge in organisations and evaluate the use of collaborative technology to create, gather, and share knowledge Question 1 (7.5 marks) What is the difference between a knowledge-based decision support system and a decision support system? Provide three examples on the application of knowledge-based decision support systems for supporting organisations (in less than 300 words). Question 2 (7.5 marks) How is Web analytics different from data analytics? Give three examples where Web analytics is very useful for supporting businesses (in less than 300 words). Question 3 (20 marks) Read the resource material available on the course website about WEKA (in Week 5 and Week 6). Download WEKA software and install it onto your computer (ensure the bundled Java Runtime Environment, i.e. jre is installed). After successful installation of the program, classify diabetes from the data diabetes.arff using J48 classifier (keep other parameters as default). The diabetes.arff file can be found on the course website. Write an analysis report based on the classification results. You need to include the results in your report. Hints: 1. To classify data in WEKA, use "Open file", than select "Classify" ► "Classifier (Choose)" ► "trees" ►"J48". 2. You need to develop a decision tree and explain the output as well as the important variables required for generating the output. Question 4 (10 marks) Visit http://mktdemo.logianalytics.com/accelerate/rdPage.aspx?rdReport=Visualizations for performance dashboard (LogiXML, 2016). Review the options and views available to answer the following questions: 1. What sort of information is provided by the dashboard? What visual objects are used? What quantitative or qualitative measures are being reported? 2. Discuss the performance of all total sales in different years by different sales representatives as represented by the dashboard. What visual objects are useful for conducting the comparison? 3. Provide a critique of the dashboard design and ways in which the design could be improved. Search the web for information on 'Information Dashboard Design' and construct your critique using 3 additional references, apart from the prescribed textbook. Oral Presentation (15 marks) Choose one topic from all the topics covered in the course, and present the topic in your tutorials/labs class. Students are required to develop a PowerPoint Slides for your presentation. The maximum number of slides is limited to 10. The oral presentation will take 15 minutes approximately. Topics: Chose only one topic, 1. Foundation and Technologies for Decision Making. 2. Data Warehousing. 3. Techniques for predictive Modelling. 4. Knowledge Management and Collaborative Systems. 5. Big Data and Analytics. 6. Automated Decision System and Expert Systems Submission of Assessment The assignment is to be submitted as 2 separate files using the electronic assignment submission system that can be accessed from the link on the course website. The two files to be submitted are as follows: 1. The Word document with the answers to the questions for 1 to 4. 2. The Power Point file that contains your oral presentation. No zip file is allowed for the submission. Marking Guide COIS13013 – Assignment 2 (60 marks) Content Marks allowed Marks awarded Comment Question 1 (7.5 marks) Differences 2.5 Examples of the system 5 Question 2 (7.5 marks) Explanation 2.5 Examples of Web analytics 5 Question 3 (20 marks) WEKA software tool (report your understanding) 5 Iris data (report your understanding) 5 Classification results are reported and analysed 5 Summary and conclusion 5 Question 4 (10 marks) Information provided by the dashboard 3 Performance of the sales 3 Critique of the dashboard design 4 Question 5 (15 marks) Presentation file 7.5 Oral (interview) performance 7.5 TOTAL 60 Plagiarism, late submission etc. FINAL MARKS