descriptive analytics and visualisation
Business Data Analysis MIS771 - Descriptive Analytics and Visualisation Trimester 1, 2020 Page 1 of 8 MIS771 Descriptive Analytics and Visualisation DEPARTMENT OF INFORMATION SYSTEMS AND BUSINESS ANALYTICS DEAKIN BUSINESS SCHOOL FACULTY OF BUSINESS AND LAW, DEAKIN UNIVERSITY Assignment Three Background This is an individual assignment, which requires you to analyse a given data set, assemble an interactive dashboard using the Tableau software, and then convey your results as a website through WordPress platform. Percentage 35% The Due Date and Time 11.59 pm Monday 8th June 2020 Submission instructions The assignment must be submitted by the due date electronically in CloudDeakin. When submitting electronically, you must check that you have submitted the work correctly by following the instructions provided in CloudDeakin. Please note that we will NOT accept any paper copies or part of the assignment submitted after the deadline or via Email. Important Note: Extensions and Late submissions are NOT possible for this assessment. You must keep a backup copy of every assignment you submit until the marked assignment has been returned to you. In the unlikely event that one of your assignments is misplaced, you will need to submit your backup copy. Any work you submit may be checked by electronic or other means to detect collusion and/or plagiarism. When you are required to submit an assignment through your CloudDeakin unit site, you will receive an email to your Deakin email address confirming that it has been submitted. You should check that you can see your assignment in the Submissions view of the Assignment Dropbox folder after upload, and check for, and keep, the email receipt for the submission. MIS771 - Descriptive Analytics and Visualisation Trimester 1, 2020 Page 2 of 8 The assignment uses the file RockingRobin.xlsx, which can be downloaded from CloudDeakin. Analysis of the data requires the use of techniques/software studied in Module 3. Assurance of Learning This assignment assesses following Graduate Learning Outcomes and related Unit Learning Outcomes: Graduate Learning Outcome (GLO) Unit Learning Outcome (ULO) GLO1: Discipline-specific knowledge and capabilities - appropriate to the level of study related to a discipline or profession. GLO2: Communication - using oral, written and interpersonal communication to inform, motivate and effect change. GLO3: Digital literacy - using technologies to find, use and disseminate information. ULO 1: Apply quantitative reasoning skills to solve complex problems. ULO 2: Deduce clear and unambiguous solutions in a form that they useful for decision making and research purposes and for communication to the wider public. Feedback before submission You can seek assistance from the teaching staff to ascertain whether the assignment conforms to submission guidelines. Feedback after submission This assessment will be treated as the final exam. Thus, the assessment mark and feedback cannot be released until the University officially releases the final results. The assessment mark and feedback will be published on Cloud Deakin as soon as the official results are released. MIS771 - Descriptive Analytics and Visualisation Trimester 1, 2020 Page 3 of 8 Scenario You are an intern at Beautiful Data Inc. The company is specialised in developing insightful and dynamic dashboards for their clients. Todd has requested you to come up with an interactive business dashboard for one of their clients, i.e. RockinRobin Ice Creamery. In his memo sent to the analytics team via SLACK (see next page), Todd has provided some guidelines on how to tackle the task. In particular, you are expected to explore the RockinRobin dataset and develop an interactive dashboard using Tableau Desktop software. Then, you should convey your results as an e-portfolio comprised of a process component and a solution component via WordPress platform. Dataset Details (accessible via RockinRobin.xlsx file) The Excel file contains 2015 and 2016 revenue metrics (e.g. sales, profit, etc.) of RockinRobin Ice creameries across different US states (i.e., nation-wide data). Data description is available from Var_Description worksheet in the Excel file. Hint: You may add additional Statistical analysis and/or supporting data of your own (additional Latitude/Longitude data, web links etc.). However, the focus of the assignment should be on the core data provided in the dataset. MIS771 - Descriptive Analytics and Visualisation Trimester 1, 2020 Page 4 of 8 Todd’s memo sent to the Analytics team via SLACK1 12:50 pm Today Todd Nash 3:17 PM #VisCallenge #RockinRobin #Project Hey, team DataViz. Let us all start working on #RockinRobin data and see who can come up with the best interactive visualisations. Remember, our work will be showcased in the upcoming online- marketing campaign. More on this in my next post. Todd Nash 3:20 pm #VisCallenge #RockinRobin #Project The #Data_Visualisation challenge consists of the following steps: a) Review the #RockinRobin dataset first. b) Define a #Business/User_Persona that will be the #Audience of your data visualisation, and develop a #story to help focus and guide your data visualisation development process. c) Identify key #Data_Elements in the selected dataset that could be used to explore further using data visualisation methods. d) Discuss why you may use certain #Visualisations e) Keep in mind #Ethical considerations of using #3rdparty_data f) Develop an #Interactive_Dashboard (using the #TableauDesktop) g) Describe key components of your final #Dashboard. h) Deliver your project as #ePortfolio via #WordPress Todd Nash 3:43 pm #VisCallenge #RockinRobin #Project Guys, remember all the points mentioned in my previous comments should be done via #WordPress! Good luck all! Ah, and remember… I expect your projects submitted to me by Monday 8th June 2020, 11:59pm. 1 Slack brings team communication and collaboration into one place so you can get more work done, whether you belong to a large enterprise or a small business. Check off your to-do list and move your projects forward by bringing the right people, conversations, tools, and information you need together. Slack is available on any device, so you can find and access your team and your work, whether you are at your desk or on the go. https://slack.com/?cvosrc=ppc.google.slack&cvo_campaign=&cvo_crid=189416050964&Matchtype=b&utm_source=google&utm_medium=ppc&c3api=5523,189416050964,slack&gclid=CjwKEAjwutXIBRDV7-SDvdiNsUoSJACIlTqlzQSKLaVeXEwZoour-SKRO45OiKchz8HCRQFgIugiihoCwnbw_wcB&gclsrc=aw.ds&dclid=CIfElPmE6tMCFdEZKgodregODg MIS771 - Descriptive Analytics and Visualisation Trimester 1, 2020 Page 5 of 8 Assignment Deliverables via WordPress The assignment consists of two main sections (web pages): Process and Solution (accessible via Menu in the WordPress template). You are required to complete both parts. This assignment is equivalent to 2,500 words. A) Process Component You are required to complete this section by completing four pre-set web pages under the process menu. Content presented here should be written in a ‘professional’ language and must cover the following four aspects: 1) Describe the audience for your Data Visualisation (to be written under AUDIENCE page) Describe the audience of the Data Visualisation you intend to create. This section should include a general description of the persona, questions they want to be answered, actions/outcomes your dashboard will be supporting, and the feeling you would like to convey. 2) Identify Data Elements (to be written under DATA ELEMENTS page) Using what you have learnt in the lectures and tutorials, first please describe each column in the dataset (note: you should describe all columns regardless of whether you will ultimately use them in your visualisation or not). Then classify the data (example, Categorical, Numerical: Discrete, Continuous / Scales of measurements: Nominal, Ordinal, Interval and Ratio / Time/Date, Location). 3) Describe at a high level what types of charts you might use to display the data. (to be written under THE RIGHT FIT page) Based on the data types you described earlier in this section, along with the objectives of the persona you described, describe what charts and visualisations do you think might work well to communicate the information. 4) Finally, describe any data ethics considerations there with the data you intend to use. (to be written under ETHICS page) Describe any considerations you think you should keep in mind while developing and sharing your visualisation. Note: While adding content, images, and tables are allowed under these sections (web pages); students are strictly prohibited from moving web page locations, renaming web pages or adding new pages under the PROCESS component. MIS771 - Descriptive Analytics and Visualisation Trimester 1, 2020 Page 6 of 8 B) Solution Component Under the SOLUTION component (WordPress web page), you are expected to have two deliverables, namely, Live Dashboard and Story Telling. First, using the skills, you have developed in the tutorial sessions (and leveraging any additional training and online support provided by Tableau Inc.) you should develop an interactive dashboard using Tableau Desktop. Then, you should embed your interactive dashboard on the Live Dashboard web page. Note: Instructions on how to retrieve embed code and import interactive dashboard to WordPress websites is available in the WordPress Instruction Manual. Under the Story Telling web page, you are expected to capture and describe various screenshots of your interactive dashboard developed using Tableau Desktop. Your descriptions, comments, or annotations of the interactive dashboard should detail how you have considered the data visualisation framework while developing the interactive dashboard. The questions below will give you some ideas of the type of comments you should include in this section: I. What types of charts have you selected and why? II. How have you used colour (or not)? III. How have you used hierarchy in your approach? IV. What interactive components did you introduce? V. How have you supported the motivations of the persona you defined? VI. Comment on data sources and any data manipulation you may have performed. Note: While adding content, images and tables are allowed under these sections (web pages); students are strictly prohibited from moving web page locations, renaming web pages or adding new pages under this PROCESS component. Hint: