MIS771: Descriptive Analytics & Visualisation- Report Writing Assignment Help

Internal Code: TV633

Report Writing Assignment Help:

Task: You will continue with your role as a master of business analytics student doing an interenship at Beautiful Data Inc. In addition to predictive data analytics, the company is specialised in developing insightful and dynamic dashboards for their clients. Todd has requested your team to come up with an interactive business dashboard for one of their clients, i.e. Tully’s Coffee. Tully's Coffee is a specialty coffee retailer and wholesaler based in Seattle, Washington, United States. Its stores serve specialty coffees, espresso, herbal teas, and coffee-related supplies. Tully's opened its first store in Kent, Washington in September 1992. In 2006, Tully's made its first net profit. Tully's focus is not solely on competing against giants like Starbucks, but on serving high quality coffee in its retail coffee shops. Most of Tully’s Coffee income derives from selling off its coffee house franchises. With around 480 fulltime employees, Tully’s Coffee revenue in 2016 was estimated at $36 million. 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 TULLYsCOFFEE 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. The assignment consists of two main sections (web pages): Process and Solution (accessible via Tully’s Coffee Project 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 ‘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 is 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.