Introduction to Business Analytics | My Assignment Tutor

Page 1 Kaplan Business School Assessment OutlineAssessment 1 Information Subject Code:DATA4000Subject Name:Introduction to Business AnalyticsAssessment Title:Individual Case StudyAssessment Type:Written assessmentWord Count:2000Words(+/-10%)Weighting:30 %Total Marks:30Submission:via TurnitinDue Date:Monday Week 5, 23:55pm AEDT Your TaskComplete Parts A to C below by the due date. Consider the rubric at the end of the assignment forguidance on structure and content.Assessment Description• You are to read case studies provided and answer questions in relation to the content, analyticstheory and potential analytics professionals required for solving the business problems at hand.• Learning outcomes 1 and 2 are addressed.Assessment InstructionsPart A: Case Study Analysis (700 words, 10 marks)Instructions: Read the following two case studies. For each case study, briefly describe:a) The industry to which analytics has been appliedb) A potential and meaningful business problem to be solvedc) The type of analytics used, and how it was used to address that potential and meaningfulbusiness problemd) The main challenge(s) of using this type of analytics to achieve your business objective (frompart b)e) Recommendations regarding how to be assist stakeholders with adapting these applicationsfor their business.1. Artificial Intelligence in Germany: Reinventing Engines of Growth 2 Kaplan Business School Assessment Outline2. GE Power: Big Data, Machine learning And ‘The Internet of Energy’ B: The Role of Analytics in Solving Business Problems (500 words, 8 marks)Instructions: Describe two different types of analytics (from Workshop 1) and evaluate how eachcould be used as part of a solution to a business problem with reference to ONE real-world case studyof your own choosing. You will need to conduct independent research and consult resourcesprovided in the subject.Part C: Developing and Sourcing Analytics Capabilities (800 words, 12 marks)Instructions: You are the Chief Analytics Officer for a large multinational corporation in thecommunications sector with operations that span South East Asia and Latin America. Theorganization is undergoing significant transformations; it is scaling back operations in existing lowrevenue segments and ramping up investments in next generation products and services – 5G, cloudcomputing and Software as a Service (SaaS). The business is keen to develop its data and analyticscapabilities. This includes using technology for product innovation and for developing a largecontingent of knowledge workers.To prepare management for these changes, you have been asked review Accenture’s report(see link below) and publish a short report of your own that addresses the following key points:1. How do we best ingrain analytics into our decision-making processes?2. How do we organize and coordinate analytics capabilities across the organization?3. How should we source, train and deploy analytics talent?To help you draft this report, you should review the following working paper from Accenture: report is prepared for senior management and the board of directors. It must reflect theneeds of your organization and the sector you operate in (communications).Page 3 Kaplan Business School Assessment OutlineImportant Study InformationAcademic 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: 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.Page 4 Kaplan Business School Assessment OutlineAssessment Marking Guide CriteriaCriteriaNN (Fail)0%-49%P (Pass)50%-64%CR (Credit)74%-65%DN(Distinction)75%-84%HD (HighDistinction)85%-100%Part A:CaseStudyAnalysisAnalyse howanalytics canenhance businessperformance andidentify thechallenges ofintegrating analyticsinto diverseindustriesIncorrect orincompleteinterpretation of casestudy with referenceto the questionsLittle or no referenceto the coursematerial, methodsand analyticsapplicationsBasic interpretation ofcase study withreference to thequestionsMinimum reference tothe course material,methods and analyticsapplicationsModeratelysupportedinterpretation of casestudy with referenceto the questionsReference to someof the coursematerial, methodsand analyticsapplicationsWell-supportedinterpretation ofcase study withreference to thequestionsReference tomost of thecourse material,methods andanalyticsapplicationsWell-supported andengaging interpretationof case study withreference to thequestionsReference to all keycourse material,methods and analyticsapplicationsA novel approach takento the representation ofthe contentPart B:Role ofAnalyticsEvaluate the role ofanalytics processesand procedures insolving businessproblems andconduct researchinto existingbusiness caseswhere analytics isbeing usedInadequatedescription ofanalytics typesand/or inadequateexplanation of howanalytics could beused as part of abusiness problemwith minimalresearch conductedDescription of thedifferent types ofanalytics in a basicway with limitedconsideration ofbusiness applicationsConsideration of howanalytics can solvebusiness problemswith limited examplesDescription of thedifferent types ofanalytics and a briefconsideration onhow each can beused in business.Solid exploration ofanalytics solutionswith reference towell-researchedcase studiesDescription of thedifferent types ofanalytics and anillustration of howeach can be usedto address abusiness problemComprehensiveexploration ofanalyticssolutions withreference to wellresearched,relevant casestudiesComprehensivedescription of thedifferent types ofanalytics and a criticalevaluation of how eachcan be used to addressa business problemConvincing andengaging exploration offeasible analyticssolutions with referenceto well-researched,detailed case studiesPart C:AnalyticsJobsInvestigate existinganalytics jobs andidentify the type ofanalytics involved inStudent is not able toidentify the types ofanalytics undertakenby various rolesStudent identifiesminimum amount ofinformation relating tothe types of analyticsStudent identifiessome of the types ofanalytics undertakenby various rolesStudent identifiesmost of the typesof analyticsStudentcomprehensivelyidentifies the types of Page 5 Kaplan Business School Assessment Outline their associatedtasksStudent does notprovide feasiblerecommendations forthe type of analyticsprofessionalsrequired by a givenscenarioundertaken by variousrolesStudent providesminimumrecommendations forthe type of analyticsprofessionals requiredby a given scenarioStudent providesadequaterecommendations forthe type of analyticsprofessionalsrequired by a givenscenarioundertaken byvarious rolesStudent providessolidrecommendationsfor the type ofanalyticsprofessionalsrequired by agiven scenarioanalytics undertaken byvarious rolesStudent provides wellsupportedrecommendations forthe type of analyticsprofessionals requiredby a given scenarioComments: Page 6 Kaplan Business School Assessment OutlineAssignment SubmissionStudents must submit their individual analysis via Turnitin on Monday of Week 5 at 23:55pm AEST.This file must be submitted as a PDF document to avoid any technical issues that may occur from incorrect file format upload.Uploaded files with a virus will not be considered as a legitimate submission. Turnitin will notify you if there is any issue with thesubmitted file. In this case, you must contact your lecturer via email and provide a brief description of the issue and a screen shotof the Turnitin error message.Students are also encouraged to submit their work well in advance of the time deadline to avoid any possible delay with Turnitinsimilarity report generation or any other technical difficulties.Late assignment submission penaltiesPenalties will be imposed on late assignment submissions in accordance with Kaplan Business School’s Assessment Policy. Number ofdaysPenalty1* – 9 days5% per day for each calendar day late deducted from the student’s totalMarks.10 – 14 days50% deducted from the student’s total marks.After 14 daysAssignments that are submitted more than 14 calendar days after thedue date will not be accepted and the student will receive a mark of zerofor the assignment(s).NoteNotwithstanding the above penalty rules, assignments will also be givena mark of zero if they are submitted after assignments have beenreturned to students. *Assignments submitted at any stage within the first 24 hours after deadline will be considered to be one day late and thereforesubject to the associated penalty.If you are unable to complete this assessment by the due date/time, please refer to the Special Consideration ApplicationForm, which is available at the end of the KBS Assessment Policy:


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