Data-driven Decision Making and Forecasting | Reliable Papers

Page 1 Kaplan Business School Assessment OutlineAssessment 2 Information Subject Code:DATA4400Subject Name:Data-driven Decision Making and ForecastingAssessment Title:Individual Evaluation Activity (Interpreting & evaluating Analytics)Assessment Type:Individual ReportWord Count:1000Words(+/-10%)Weighting:30 %Total Marks:30Submission:TurnitinDue Date:Individual report via Turnitin due Monday, Week 10 23.55pm AEST Your TaskGiven an example of a comprehensive forecasting application provide a description and interpretationof the techniques used. The report is worth 30 marks (see rubric for allocation of these marks).Assessment DescriptionA dataset from a retailer that has more than 45 stores in different regions (Public data fromKaggle) has been sourced. The data provided for the assessment represents one store. Theobjective of the assessment is to develop different demand forecast models for that store andcompare the forecast models in terms of accuracy, trend, and seasonality alignment with thehistorical data provided. Students must calculate the Root Mean Square Error (RMSE) or MeanAbsolute percentage Error (MAPE) on the test data to provide conclusions and construct adashboard in a BI tool.A shiny web app. has been built to forecast monthly data using different methodologies. The appallows you to divide the data set between train and test set, so you can evaluate the performanceof the models. You can use the error metrics provided to evaluate the performance and accuracyof the model.Assessment InstructionsDuring class in Week 9 your lecturer will provide guidance on carrying out the below tasks. Thisclass will be dedicated to a addressing your questions and concerns. Please make sure you arefamiliar with the assessment before coming to class.Access the application at https://josevilardy.shinyapps.io/ForecastingTool/(Your lecturer may use screenshots of the app in PDF format). Your lecturer will lead aPage 2 Kaplan Business School Assessment Outlinedemonstration of the application in class calling upon you to participate in the discussion. You areto take notes and individually complete the below report:Report Structure and Content1. Analyse the results of the forecast methodologies used, in terms of:a. Accuracyb. Alignment with the historical trendc. Alignment with the historical seasonality(200 Words)2. Use a BI tool to visualise the dataset and generate a forecast using the BI tool. Comparethe forecast generated by the BI tool with the three forecasts generated by the Shiny app.Provide visualisations and describe your findings.(200 words)3. Recommend improvements to the shiny app.(150 words)4. Summary(100 words)Page 3 Kaplan Business School Assessment OutlineAssessment Marking Guide Interpreting and Evaluating AnalyticsSectionCriteriaMarks AvailablePart 1: Forecast resultanalysis• Interpret the results in termsof accuracy and alignmentwith historical trend andseasonality of the series.200 words10 marksPart 2: Evaluation of the appeffectivenessCompare the results of theapplication with a chosen BI tool.200 words10 marksPart 3: Recommendationsand summaryRecommend improvements tothe application.2505 marksPart 4: Report StructureStudent should be concise &their report structure should haverelevant headings – include asummary based on hindsight.5 marks Important Study InformationPage 4 Kaplan Business School Assessment OutlineAcademic Integrity PolicyKBS values academic integrity. All students must understand the meaning and consequencesof cheating, plagiarism and other academic offences under the Academic Integrity and ConductPolicy.What is academic integrity and misconduct?What are the penalties for academic misconduct?What are the late penalties?How can I appeal my grade?Click here for answers to these questions:http://www.kbs.edu.au/current-students/student-policies/.Word Limits for Written AssessmentsSubmissions that exceed the word limit by more than 10% will cease to be marked from the pointat which that limit is exceeded.Study AssistanceStudents may seek study assistance from their local Academic Learning Advisor or refer to theresources on the MyKBS Academic Success Centre page. Click here for this information.