SOLUTION: critical analytics for a business project | My Assignment Tutor

Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208291MITS6002Business AnalyticsSemester 1 2021ASSESSMENT GUIDEVictorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208292Assessment overview AssessmentsOverviewWeightDue dateUnit Learning Outcomes (ULO)Assessment 1: Case Studies &PresentationIn this assignment you will be given a small case study andyou will need to apply your knowledge to Identify, makecritical analytics for a business project and prepare apresentation video of the important insights from theanalytics.10%Session 61, 2, 3Assessment 2: Research StudyIn this assessment you will write a critique or report on anacademic paper(s) approved by your lecturer in the field ofBusiness Analytics, or a specific industry case study.10%Session 93, 4, 5Assessment 3: AssignmentIn this assessment you will need to apply your problemsolving skills to analyse a given case and to recommendinsights and solution.30%Session 124, 5Assessment 4: FinalAssessment50%During the end ofsemester examperiod1, 3, 4, 5 Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208293Referencing guidesYou must reference all the sources of information you have used in your assessments. Please use theIEEE referencing style when referencing in your assessments in this unit. Refer to the Library’sreferencing guides for more information.• Guide 1.• Guide 2.Academic misconductVIT enforces that the integrity of its students academic studies follow an acceptable level ofexcellence. VIT will adhere to its VIT Policies, Procedures and Forms where it explains theimportance of staff and student honesty in relation to academic work. It outlines the kinds ofbehaviours that are “academic misconduct”, including plagiarism.Late submissionsIn cases where there are no accepted mitigating circumstances as determined through VIT Policies,Procedures and Forms, late submission of assessments will lead automatically to the imposition of apenalty. Penalties will be applied as soon as the deadline is reached.Short extensions and special considerationSpecial Consideration is a request for:• Extensions of the due date for an assessment, other than an examination (e.g. assignmentextension).• Special Consideration (Special Consideration in relation to a Completed assessment,including an end-of-unit Examination).Students wishing to request Special Consideration in relation to an assessment the due date ofwhich has not yet passed must engage in written emails to the teaching team to Request for SpecialConsideration as early as possible and prior to start time of the assessment due date, along with anyaccompanying documents, such as medical certificates.For more information, visit VIT Policies, Procedures and Forms.Inclusive and equitable assessmentReasonable adjustment in assessment methods will be made to accommodate students with adocumented disability or impairment. Contact the unit teaching team for more information.Contract CheatingContract cheating usually involves the purchase of an assignment or piece of research from anotherparty. This may be facilitated by a fellow student, friend or purchased on a website. Other formsof contract cheating include paying another person to sit an exam in the student’s place.Contract cheating warning:Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208294• By paying someone else to complete your academic work, you don’t learn as much as youcould have if you did the work yourself.• You are not prepared for the demands of your future employment.• You could be found guilty of academic misconduct.• Many of for pay contract cheating companies recycle assignments despite guarantees of“original, plagiarism-free work” so similarity is easily detected by TurnitIn.• Penalties for academic misconduct include suspension and exclusion.• Students in some disciplines are required to disclose any findings of guilt for academicmisconduct before being accepted into certain professions (e.g. law).• You might disclose your personal and financial information in an unsafe way, leavingyourself open to many risks including possible identity theft.• You also leave yourself open to blackmail – if you pay someone else to do an assignment foryou, they know you have engaged in fraudulent behaviour and can always blackmail you.GradesWe determine your grades to the following Grading Scheme: GradePercentageA80% – 100%B70% – 79%C60% – 69%D50% – 59%F0% – 49% Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208295Assessment detailsAssessment 1: Case Studies & PresentationOverview WeightLengthDue dateULO10%3-6 Minutes Video PresentationSession 61, 2, 3 IntroductionThis assessment item relates to the unit learning outcomes as in the unit descriptor. Objective of this case study to assess the ability of students tounderstand large data sets and apply their knowledge in analytics to come up with useful insights. This assessment is designed to improve studentpresentation skills and to give students experience in researching a topic and presenting a report relevant to the Unit of Study subject matter.Task1. Find a data set from an open data websiteExample:https://data.gov.au/https://www.springboard.com/blog/free-public-data-sets-data-science-project/https://www.dataquest.io/blog/free-datasets-for-projects/https://www.kaggle.com/datasetsThe data source should be large enough (at least 10 columns and 250 rows).2. Present your insights including some basic analytics and at least five different visualisations.Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 2082963. This is now an individual assignment, not a group assignment.4. You need to record your presentation, 3-6 minutes. You and your slides should be clear in the video file.5. Submit your video file of your presentation in the provided link by the due date. Only original file will be accepted; a link to your video file will not bemarked.Submission InstructionsAll submissions are to be submitted through the Moodle. It is your responsibility to upload a quality and standard format file in the Moodle. The link forvideo will not be accepted and will not be marked. Submissions must be made by the due date and time (which will be in the session detailed above) anddetermined by your Unit coordinator. Submissions made after the due date and time will be penalized at the rate of 10% per day (including weekend days).Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208297Marking criteriaYou will be assessed on the following marking guideTotal Marks: 50 TaskDescriptionMarksIntroductionPresent an introduction and objective for the analysis.5Data DescriptionBrief overview and summary of the dataset. Clearly identify the data type, variables and their relationships relevant to thechosen dataset.10InsightfulInformationDemonstrate and present the insightful information by applying different data analytic tools & techniques.10Visualization ToolsDevelop at least five visualization graphs, charts or any other relevant visual representations.10PresentationSuccessfully present the insights including some basic data analytics and different visualisations.10ConclusionA summary, findings and/or recommendation of the analysis.5 Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208298Assessment 2: Research StudyOverview WeightLengthDue dateULO10%1500Session 93, 4, 5 IntroductionThis assessment item relates to the unit learning outcomes as in the unit descriptor. This assessment is designed to improve student research skills and togive students experience in researching a topic and writing a report relevant to the Unit of Study subject matter.TaskPerform a literature review on a known topic in business analytics. It can be any topic on tools, methodologies or applications. Some examples include, butnot limited to:• Use of predictive analysis in healthcare industry• Comparison of BI tools• Techniques of predictive analysis• Methods of representing multi-dimensional data in visualisations• Analytics techniques to improve logistics management• Security of data and privacy concerns in analyticsPlease note that this is an individual project. The topic needs to be chosen before week 7.Based on your review you need to submit a report in IEEE format; see the word file in the Moodle. Submit your report in a word or pdf format. Your reportshould be limited to 1200-1500 words.Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 208299The paper you select must be directly relevant to one of the above topics or another topic related to what we are studying this semester and be related toBusiness Analytics. The paper can be from any academic conference or other relevant Journal or online sources such as Google Scholar, or Academicdepartment repositories. All students must select a different paper. You can discuss with your lecturer before week 7 to decide on a topic. The topic needsto be chosen before week 7. Students may discuss their chosen topics/papers in discussion forum and may avoid similar paper selected by multiplestudents. Please note that popular magazine or web-site articles are not academic papers. The paper you chose should be published in the last 5 years(must be published 2015 or after). Our report should be limited to approx. 1500 words (not including references). Though your paper will largely be basedon the chosen article, you may use other sources to support your discussion or the chosen papers premises. Citation of sources must be in the IEEE style.Based on your review you need to submit a report in IEEE format; see the word file in the Moodle.Report ContentTitle Page: The title of the assessment, the name of the paper you are reporting on and its authors, and your name and student ID.Introduction: Identification of the paper you are critiquing/ reviewing, a statement of the purpose for your report and a brief outline of how you will discussthe selected article (one or two paragraphs).Body of Report: Describe the intention and content of the article. Document a critical analysis regarding business case, brief overview of the dataset, datatype, variables and their relationships. You may assume such details of dataset if not considered in your chosen paper. Moreover, critically describe theadopted business analytics models and decision-making tools which has been used and applied in your chosen paper. In addition to that, report theoutcomes of the recommend business directions. If such recommendation is not outlined in your chosen paper, discuss and justify your own view.Conclusion: A summary of the points you have made in the body of the paper. The conclusion should not introduce any ‘new’ material that was notdiscussed in the body of the paper. (One or two paragraphs)References: A list of sources used in your text. They should be listed alphabetically by (first) author’s family name. Follow the IEEE style. The footer mustinclude your name, student ID, and page number.Note: reports submitted on high plagiarisms will be marked according to the VIT plagiarism rule.Submission InstructionsAll submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in the Unit of Study Moodle account. Assignments notsubmitted through these drop-boxes will not be considered.Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 2082910Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator. Submissionsmade after the due date and time will be penalized at the rate of 10% per day (including weekend days). The turn-it-in similarity score will be used indetermining the level if any of plagiarism. Turn-it-in will check conference websites, Journal articles, the Web and your own class member submissions forplagiarism. You can see your turn-it-in similarity score when you submit your assignment to the appropriate drop-box. If this is a concern you will have achance to change your assignment and re-submit. However, re-submission is only allowed prior to the submission due date and time. After the due dateand time have elapsed you cannot make re-submissions and you will have to live with the similarity score as there will be no chance for changing. Thus, planearly and submit early to take advantage of this feature. You can make multiple submissions, but please remember we only see the last submission, and thedate and time you submitted will be taken from that submission.Your report should be a single word or pdf document containing your report.Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 2082911Marking criteriaYou will be assessed on the following marking guideTotal Marks: 50 TaskDescriptionMarksIntroductionA statement of the purpose for your report and a brief outline of how you will discuss the selected article.10Business DomainAnalysisDocument a critical analysis regarding business case, brief overview of the dataset, data type, variables and their relationships.You may assume the details of dataset if not considered in your chosen paper.10AnalyticalTools/TechniquesCritically describe the adopted business analytics models and decision-making tools which has been used and applied in yourchosen paper.10Interpretimprovement/recommendationReport the outcomes of the recommend business directions. If such recommendation is not outlined in your chosen paper,discuss and justify your own view.10Conclusion andReference (If any)A summary of the points you have made in the body of the paper. If references have been used, a list of sources used in yourtext. They should be listed alphabetically by (first) author’s family name. Follow the IEEE style.10 Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 2082912Assessment 3: AssignmentOverview WeightLengthDue dateULO30%2000-2500Session124, 5 IntroductionThis assessment item relates to the unit learning outcomes as in the unit descriptor. This assessment is designed to improve student analytic skills and togive students experience in problem solving in business analytics.TaskAnswer the assignment questions given in the Moodle and upload a word file. To answer question one, you will need to refer the provided insights reportwhich is also given in the Moodle.This is an individual task.Submission InstructionsAll submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in the Unit of Study Moodle account. Assignments notsubmitted through these drop-boxes will not be considered. Submissions must be made by the due date and time (which will be in the session detailedabove) and determined by your Unit coordinator. Submissions made after the due date and time will be penalized at the rate of 10% per day (includingweekend days). The turn-it-in similarity score will be used in determining the level if any of plagiarism. Turn-it-in will check conference websites, Journalarticles, the Web and your own class member submissions for plagiarism. You can see your turn-it-in similarity score when you submit your assignment tothe appropriate drop-box. If this is a concern you will have a chance to change your assignment and re-submit. However, re-submission is only allowed priorto the submission due date and time. After the due date and time have elapsed you cannot make re-submissions and you will have to live with the similarityscore as there will be no chance for changing. Thus, plan early and submit early to take advantage of this feature. You can make multiple submissions, butplease remember we only see the last submission, and the date and time you submitted will be taken from that submission.Your report should be a single word or pdf document containing your report.Victorian Institute of Technology www.vit.edu.au CRICOS Provider No. 02044E, RTO No: 2082913Marking criteriaYou will be assessed on the following marking guideTotal Marks: 30 TaskDescriptionMarksComm Bank InsightReport AnalysisDocument a critical analysis on “CommBank Retail Business Insights Report FY18” and comment on overall features, quality ofvisualisations, usefulness of the key information on decision making, abstract and recommendations.10Regression AnalysisReport the applications of regression analysis and critically analyse the given task by formulating regression line equation,scatter diagram and goodness of fit. Additionally, compare the regression analysis values using other analytic tool.10ClassificationMethods &DiscussionDiscuss the applications of classification method in business analytics domain including, the difference between classificationand prediction, examples of classification methods, algebraic equation for neural network and the application of clusteringtechniques in business analytics.10