Data handling and decision making

Page 1of 7[1665]DAT7001Data Handling and Decision MakingPart 1: EssayDate for Submission: Please refer to the timetable on ilearn(The submission portal on iLearnwill close at 14:00 UK time on the date of submission)

Page 2of 7[1665]Assignment BriefAs part of the formal assessment for the programme you are required to submit a Data Handling and Decision Makingessay. Please refer to your Student Handbook for full details of the programme assessment scheme and general information on preparing and submitting 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 and interpret data sets.6.Make recommendations based upon the findings from data analysis.7.Graduate Attribute–Effective CommunicationCommunicate effectively both, verbally and inwriting, using a range of media widely used in relevant professional context.Maximum word count:1,000wordsPlease note that exceeding the word count by over 10% will result in a reduction in grade by the same percentage that the word count is exceeded. You must not include your namein your submission because Arden University operates anonymous marking, which means that markers should not be aware of the identity of the student. However, please do not forget to include your STU number.

Page 3of 7[1665]Assignment Task –EssayThis assignment is worth 20% of the marks for this module.Assignment Part 1: Data Gap AnalysisData gap analysis can be referred to as theprocessofinspecting an existing or planned big data infrastructurewith the aim of identifying issues, risks and inefficiencies associated with the use of data in organisation’s operations.Such analysis requires an integrated view ontechnical, managerial and legal aspects oforganisational data.This activity represents a key initial step towardsimplementation ofdata-driven business decision-making.For this assignment, you are required todemonstrate the data gap analysis for acase study of your choice.Case study choice.You are encouraged to relate this assignment to your workplace, so that the outcomescan immediately be applied to improving itsdata analytics processes. However,if you have no immediate workplaceto analyse orits use for the assignment purposes is not possible, then you have an option ofadoptinganotherproject(such as a commercial start-up, community project or social enterprise) which would take advantage of data driven decision-making. Either an existing orprospective projectcan be discussed.In the latter case,the data infrastructure might not exist yet, however, you have an opportunityto propose its design and analyse it forany potentialgaps.NB1:You can use any publicly available datasets,e.g. historical data or national statistics (a samplelist of publicdata sources can be found on the News and FAQs forumof the module).However, these datasets must be applied to in-depth analysis of your workplace or anotherspecific projector activitywhich you are fully familiar with.Generic analysis of any third-party company is not acceptable for this assignment.NB2: Organisation name, other business or stakeholder particulars and any personally identifiable information can be fully anonymised.NB3: If you are re-sitting this assessment for the first time, you may re-work your original submission if you wish. However, if this is your third attempt at this assessment, you mustsubmit a piece of work which is substantially different from your first two attempts.Please turn over for the questions

Page 5of 7[1665]Formative FeedbackYou have the opportunity to submita complete draft of this assignmentto receive formative feedback. The feedback is designed to help you develop areas of your work and it helps you develop your skills as an independent learner. Your work must be submitted to your tutor at least twoweeksprior tothe assessment submission date. This is to allow time for you to reflect on the feedback and draft your final submission.Formative feedback will not be given to work submitted after the above date.Student GuidelinesDevelopment of academic skills:You MUSTunderpin your analysis and evaluation of the key issues with appropriate and wide ranging academic research and ensure this is referenced using the AU Harvard system. 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 thetitle page, tables, figures, diagrams, footnotes, reference list and appendices.Where assessment questions have been reprinted from the assessment brief these will also be excluded from the word count. ALL other printed words ARE included in the word count.See ‘Word Count Policy’ on the homepage of this module for more information.

Page 6of 7[1665]Submission 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 more information please see the “Guide to Submitting an Assignment” document available on the module page on iLearn. You must ensure that the submitted assignment is all your own work and that all sources used are correctly attributed. Penalties apply to assignments which show evidence of academic unfair practice. (See the Student Handbook which is on the homepage of your module and also in the Induction Area).

Page 7of 7[1665]Assessment Criteria: Level 7Level 7 is characterised by an expectation of students’ expertise in their specialism. Students are semi-autonomous, demonstrating independence in the negotiation of assessment tasks (including the major project) and the ability to evaluate, challenge, modify and develop theory and practice. Students are expected to demonstrate an ability to isolate and focus on the significant features of problems and to offer synthetic and coherent solutions, with some students producing original or innovative work in their specialism that is potentially worthy of publication by Arden University. A clear appreciation of ethical considerations (as appropriate) is also a prerequisite.Grade Mark BandsGeneric Assessment CriteriaDistinction70%+Excellent analysis of key issues and concepts/. Excellent development of conceptual structures and argument, making consistent use of scholarly conventions.Excellent research skills, independence of thought, an extremely high level of intellectual 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 of relevant 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 and concepts. Development of conceptual structures and argument making consistent use of scholarly conventions. Some evidence 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 restricted analysis of existing scholarly material and little argument development. Use of scholarly conventions inconsistent. The work lacks original thought. Some awareness of relevant ethical considerations.Satisfactory professional skills (where appropriate).Marginal Fail 40-49%Limited research skills impede use of learning resources and problem solving. Significant problems with structure/accuracy in expression. Very weak academic / intellectual / professional skills. Limited use of scholarly conventions.Errors in expression and the work may lack structure overall39% and belowA poor performance in which there are substantial gaps in knowledge and understanding, underpinning theory and ethical considerations. Little evidence of research skills, use of learning resources and problem solving. Major problems with structure/ accuracy in expression. Professional skills not present.Very weak academic / intellectual / professional skills. No evidence of use of scholarly conventions.

 

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