ITECH1103- Big Data and Analytics Group Assignment – Semester 2, 2020Weight – 25%Due Date: Analytic Report -Due Week 11 Sunday 11:55pmAnalytic Report: Learning Outcomes Assessed: A3, K3, K6, and S2:Purpose: The purpose of this task is to provide students with practical experience in working in teams to write a data analytical report to provide useful insights, pattern and trends in the RETAILDEMO_2 dataset in the light of guided questions asked on page 4 of this document. This dataset is located in SAS Viya archives of datasets. This activity will give students the opportunity to show innovation and creativity in applying SAS Analytics, and designing useful visualization and predictive solutions for various analytics problems.Project Details:This is a group assignment and you will complete the task with your team. Your team will be made up of at most 3 members who are all enrolled in the same laboratory – the teams will be allocated by your tutor. It is expected that each team member will contribute equally to the project.Your team will use an analytical tool (i.e SAS Visual Analytics) to explore, analyze and visualize the dataset provided. You will receive feedback on the draft about presentation choices, content, analysis, and style.The aim is to use the data set allocated to provide interesting insights, trends and patterns amongst the data. Your intended audience is the CEO and middle management of the Multinational Retail Company, who are responsible for overseeing the retails industry worldwide.In addition, each individual team member will write a short reflection as part of the report on their individual experience on working on the project.Tasks• Task 1- Background information - Write a description of the dataset and project, and its importance for the organization. Discuss the main benefits of using visual analytics to explore big data. In this you should include a justification for using the visualizations that you will use and how they have been successful in other similar projects. This discussion should be suitable for a general audience. Information must come from at least 6 appropriate sources (2 per student) be appropriately referenced. [2 to 3 pages]• Task 2 – Reporting / Dashboards - For your project, perform the relevant data analysis tasks by answering the guided questions provided (see Appendix for questions and dataset) and, identify the visualization you need to develop.Note: remove any missing data points from your visualizations where possible/suitable• Task 3 – Additional Visualizations - In addition to the guided questions, it is expected that each student will provide at least two other visualizations of the data (i.e. for a group of 3 students this is 6 extra visualizations). These additional visualizations will be judged in terms of quality of the findings and complexity of analysis.• These visualizations should be using multi-dimensional, filtering and advance calculation techniques.• Task 4 – Justification -Justify why these visualizations are chosen in Task 2 and 3. Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use ‘Snipping tool’), and also include any assumptions that you may have made about the analysis in your Task 2 (i.e. the report to the operational team of the company).[1 to 2 pages]• Task 5 – Discussion of findings – using the visualizations created discuss the findings from the data set. In this discussion you should explain what each visualization shows. Then summarize the main findings. [3 to 4 pages]• Task 6 – Executive Summary – summary of the data analysis including a brief introduction, methods used and CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 2 2020 Page 1 of 4 a list of the key findings [1 page only]• Task 7 - The Reflection (Individual Task) - each team member is expected to write a brief reflection about this project in terms of challenges, learning and contribution. [1 to 2 pages]Report Submission:Each member of the group is to submit an electronic copy of the completed group assignment and their own individual reflection via Moodle.The report will be approximately 8 to 12 pages in length (not counting cover page and references). The report will include the following in the order provided below:• A cover page including the names and student id of all team members• Table of Contents• Table of Figures / Tables• Executive Summary• Background• The body of the report including reports, insights, justifications and visuals• Discussion of findings• Conclusion• References• AppendicesAll references used in your report must be from peer-reviewed sources. Include any and all sources of information including any person(s)n you interviewed for this project.Your report should be formatted according to the “Assignment Layout and Appearance Guidelines” and your references presented using the APA referencing style; information is available:https://federation.edu.au/library/student-resources/help-with-study-skills2/guides-to-your-assessmentsYou are reminded to read the “Plagiarism” section of the course description.A passing grade will be awarded to assignments adequately addressing all assessment criteria. Higher grades require better quality and more effort. For example, a minimum is set on the wider reading required. A student reading vastly more than this minimum will be better prepared to discuss the issues in depth and consequently their report is likely to be of a higher quality. So before submitting, please read through the assessment criteria very carefully.CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 2 2020 Page 2 of 4
ITECH1103- Big Data and Analytics - Assignment 2- Data Analysis-Report Marking GuideTasksMarksAwardedComments 1 – Background of the Project: Description of Project, Datasets and organisation. The importance of project for the organisation. Benefits and examples provided for the use of data visualisation using peer reviewed sources. 10 2 - Dashboard/Reports utilisation of appropriate data analysis tools, visualizations and dashboards developed for the report 30 3 - Additional Visualizations The quality and complexity of additional visualisations provided other than the guided questions. 10 4 - Justification - Each analysis/dashboard and report explanation with relevant research papers, complexity and in- depth of the justification. 5 5 – Discussion of findings - Key data insights, recommendations to achieve organisational objectives with theoretical justifications with proper references. 15 6- Executive summary - Format, key findings and recommendation 10 7 – The Reflection (Individual Task) 10 Presentation of Report - Report is well-written and presented 10professionally, containing all requirementsTotal Marks 100 Total Marks out of 25 25% CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 2 2020Page 3 of 4
Appendix 1: Data Set 1 and Guided Questions Data Set 1• Teradata – SAS Viya Data Source – RETAILDEMO_2 (57 COLUMNS, 2.3 M ROWS & 1.4 HB SIZE)Develop a visualization using SAS Viya for each of the following questions.Guided Questions1. GROUP TASK: Create a data dictionary for the data source for use by the group.2. How much is marketing and marketing budget allocated to each industry ?3. What are the top and bottom 5 cities with respect to number of customers?4. What is the distribution of customers by department in each country?5. What is the distribution of customers by group chain in each country? Add animation of the Date6. What is the trend of transactions over months for each brand?7. For each store chain, which is most and least popular class?8. What are the top and bottom 10 products ID in terms of Sales?9. What are top and bottom 5 classes with respect to number of transactions?10. What is the popular brand with respect to frequency each department in different countries?11. What are the top 5 cities with respect to transactions and different time of the day and store chain?12. What are the top 10 classes with respect to frequency for 4 different promotions and each brandname?13. What is the trend of transactions across months for all countries? Add animation of the Date14. What is the annual total sales store chain across countries in different months?15. Create a geomap countries and transactions.16. Create a cluster analysis on transaction related data.17. What are the most appropriate predictors of location of sales? Hint- use decision tree18. How promotion ID is varied across different age brackets in different countries?19. What is the trend of sales from 01/01/2010 to02/01/2010 with respect to countries Hint- You need touse filter for the dates -? Add animation of the Date20. What is the most and least popular day in terms of Sales for any county? Please mention the name ofthe countryCRICOS Provider No. 00103D ITECH 1103 Group Presentation Semester 1 2020