TheassignmentmustbesubmittedbytheduedateelectronicallyinCloudDeakin.Whensubmitting electronically,youmustcheckthatyouhavesubmittedtheworkcorrectlybyfollowingtheinstructions...

TheassignmentmustbesubmittedbytheduedateelectronicallyinCloudDeakin.Whensubmitting electronically,youmustcheckthatyouhavesubmittedtheworkcorrectlybyfollowingtheinstructions providedinCloudDeakin.PleasenotethatwewillNOTacceptanyhardcopiesorpartoftheassignment submittedafterthedeadlineorviaEmail. NoextensionswillbeconsideredunlessawrittenrequestissubmittedandnegotiatedwithDrDilalSaundage priortoThursday15thSeptember2016,5pm.Pleasenotethatassignmentextensionswillonlybeconsideredif youattachyourdraftassignmentwithyourrequestforanextension.


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DEAKIN UNIVERSITY    FACULTY OF BUSINESS & LAW  DEAKIN BUSINESS SCHOOL DEPARTMENT OF INFORMATION SYSTEMS AND BUSINESS ANALYTICS          MIS771 Descriptive Analytics and Visualisation    Assignment Two  Background  This is an individual assignment, which requires you to analyse a given data set, interpret and draw conclusions  from your analysis, and then convey your conclusions in a written report to a person with little or no knowledge  of Business Analytics.     Percentage of final grade  40%  th Due date  Monday 19  September 2016 11.59pm    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 hard copies or part of the assignment  submitted after the deadline or via Email.    No extensions will be considered unless a written request is submitted and negotiated with Dr Dilal Saundage  th prior to Thursday 15  September 2016, 5pm. Please note that assignment extensions will only be considered if  you attach your draft assignment with your request for an extension.    The assignment uses the file Supermart.xlsx which can be downloaded from CloudDeakin. Analysis of the data  requires the use of techniques studied in both Modules 1 and 2.         Descriptive Analytics and Visualisation Assignment two – Trimester 2, 2016 Page 1Assurance 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:  ULO1: Create solutions by applying data analysis and  appropriate to the level of study related to a  statistical techniques and skills to practical business,  discipline or profession.  economic and personal decision-making and   ...



May 13, 2022
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