Page 1 of 7DAT7001Data Handling and Decision MakingPart 2: ReportDate for Submission: Please refer to the timetable on ilearn(The submission portal on iLearn will close at 14:00 UK time on the dateof submission)Page 2 of 7Assignment BriefAs part of the formal assessment for the programme you are required to submit a DataHandling and Decision Making report. Please refer to your Student Handbook for fulldetails of the programme assessment scheme and general information on preparing andsubmitting assignments.Learning Outcomes (LO):After completing the module, you should be able to:1. Analyse methods of auditing data holdings and gap identification.2. Critically analyse theoretical and core processes of data manipulation and mining.3. Utilise and evaluate basic statistical concepts.4. Appreciate ethical issues and their importance to data handling and decision making.5. Develop a practical ability with data analysis and data mining methods to analyse andinterpret data sets.6. Make recommendations based upon the findings from data analysis.7. Graduate Attribute – Effective CommunicationCommunicate effectively both, verbally and in writing, using a range of media widelyused in relevant professional context.Maximum word count: 4,000 wordsPlease note that exceeding the word count by over 10% will result in a reduction in grade bythe same percentage that the word count is exceeded.You must not include your name in your submission because Arden University operatesanonymous marking, which means that markers should not be aware of the identity of thestudent. However, please do not forget to include your STU number.Page 3 of 7Assignment Task – ReportThis assignment is worth 80% of the marks for this module.Assignment Part 2: Data-Driven Decision SupportData-driven decision support encompasses a range of the most essential processes of dataanalytics, including data preparation and integration, modelling using statistical and/ormachine learning techniques, and data presentation. The aim of this activity is to empowerthe organisational decision-making with statistically tested and systematically evaluateddecision options. These options can be ranked using inferential models, such as forecasting,prediction and/or classification.In Part 1 of this assignment, you have identified a case study – an organisation or project ofyour choice, as well as various data sources and datasets available to it, and an importantorganisational decision. In this part, you have an opportunity to demonstrate how thisspecific decision formulated in Part 1 in the context of your chosen case study can besupported with data analytics.Task 2.1Discuss data preparation process, including• Explanation of data collection, filtering and integration procedures.• Analysis of data representativeness.• Statement on generalisability and limitations of the integrated dataset.(800 words)(20 marks)(LO 2)Task 2.2Perform data modelling, which should specifically demonstrate:• Selection and justification of the inferential and/or machine learning models, mostrelevant to the objectives of your case study.• Application of statistical tools such as Excel, SPSS and/or Weka, to your model andreporting on the initial outcomes of your modelling.• Explanation what the decision in question should be, based on these outcomes.(2000 words)(40 marks)(LO 2, 3)Page 4 of 7Task 2.3Present further outcomes, in support of the decision obtained in Task 2.2. This discussionshould be visualised with a range of charts and tables showing the identified and analysedrelationships. It should also be accompanied with detailed interpretation of the demonstratedresults.(700 words)(20 marks)(LO 5, 7)Task 2.4Propose recommendations on the implementation, acceptance and assessment of thedecision arrived at in Tasks 2.2 and 2.3, and discuss how this decision can contribute tostrategic management of the chosen organisation or project.(500 words)(20 marks)(LO 6, 7)End of questionsPage 5 of 7Formative FeedbackYou have the opportunity to submit a complete draft of this assignment to receive formativefeedback.The feedback is designed to help you develop areas of your work and it helps you developyour skills as an independent learner.Your work must be submitted to your tutor at least two weeks prior to the assessmentsubmission date. This is to allow time for you to reflect on the feedback and draft your finalsubmission.Formative feedback will not be given to work submitted after the above date.Student GuidelinesDevelopment of academic skills:You MUST underpin your analysis and evaluation of the key issues with appropriate andwide ranging academic research and ensure this is referenced using the AU Harvardsystem. The My Study Skills Area contains the following useful resources:Guide to Harvard Referencinghttp://moodle.bl.rdi.co.uk/guides/HarvardRef/AU_Harvard_Quick_Ref_Guide.pdfGuide to Harvard Citationhttp://moodle.bl.rdi.co.uk/guides/HarvardRef/AU_Guide_to_Harvard_Citation.pdfYou must use the AU Harvard Referencing method in your assignment.Additional notes:Students are required to indicate the exact word count on the title page of the assessment.The word count excludes the title page, tables, figures, diagrams, footnotes, referencelist and appendices. Where assessment questions have been reprinted from theassessment brief these will also be excluded from the word count. ALL other printedwords ARE included in the word count See ‘Word Count Policy’ on the homepage of thismodule for more information.Page 6 of 7Submission GuidanceAssignments submitted late will not be accepted and will be marked as a 0% fail.Your assessment should be submitted as a single Word (MS Word) or PDF file. For moreinformation please see the “Guide to Submitting an Assignment” document available on themodule page on iLearn.You must ensure that the submitted assignment is all your own work and that all sourcesused are correctly attributed. Penalties apply to assignments which show evidence ofacademic unfair practice. (See the Student Handbook which is on the homepage of yourmodule and also in the Induction Area).Page 7 of 7Assessment Criteria: Level 7 Level 7 is characterised by an expectation of students’ expertise in their specialism. Students are semi-autonomous, demonstrating independence inthe negotiation of assessment tasks (including the major project) and the ability to evaluate, challenge, modify and develop theory and practice. Studentsare expected to demonstrate an ability to isolate and focus on the significant features of problems and to offer synthetic and coherent solutions, withsome students producing original or innovative work in their specialism that is potentially worthy of publication by Arden University. A clear appreciationof ethical considerations (as appropriate) is also a prerequisite.GradeMarkBandsGeneric Assessment CriteriaDistinction70%+Excellent analysis of key issues and concepts/. Excellent development of conceptual structures and argument, makingconsistent use of scholarly conventions. Excellent research skills, independence of thought, an extremely high level ofintellectual rigour and consistency, exceptional expressive / professional skills, and substantial creativity and originality.Excellent academic/intellectual skills. Work pushes the boundaries of the discipline and demonstrates an awareness ofrelevant ethical considerations. Work may be considered for publication by Arden universityMerit60-69%Very good level of competence demonstrated. High level of theory application. Very good analysis of key issues andconcepts. Development of conceptual structures and argument making consistent use of scholarly conventions. Someevidence of original thought and a general awareness of relevant ethical considerationsPass50-59%A satisfactory to good performance. Basic knowledge of key issues and concepts. Generally descriptive, with restrictedanalysis of existing scholarly material and little argument development. Use of scholarly conventions inconsistent. Thework lacks original thought. Some awareness of relevant ethical considerations. Satisfactory professional skills (whereappropriate).Marginal Fail40-49%Limited research skills impede use of learning resources and problem solving. Significant problems with structure/accuracyin expression. Very weak academic / intellectual / professional skills. Limited use of scholarly conventions. Errors inexpression and the work may lack structure overall39% andbelowA poor performance in which there are substantial gaps in knowledge and understanding, underpinning theory and ethicalconsiderations. Little evidence of research skills, use of learning resources and problem solving. Major problems withstructure/ accuracy in expression. Professional skills not present. Very weak academic / intellectual / professional skills.No evidence of use of scholarly conventions.
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