{"id":30893,"date":"2026-05-02T14:59:30","date_gmt":"2026-05-02T14:59:30","guid":{"rendered":"https:\/\/academicwritersbay.com\/solutions\/job-you-is-seemingly-required-to-write-a-structured-research-immediate-analysing-how-in-type-companies-employ-cloud-essentially-based-enterprise-recordsdata-methods-bis-and-web-of-issues-iot-to-en\/"},"modified":"2026-05-02T14:59:30","modified_gmt":"2026-05-02T14:59:30","slug":"job-you-is-seemingly-required-to-write-a-structured-research-immediate-analysing-how-in-type-companies-employ-cloud-essentially-based-enterprise-recordsdata-methods-bis-and-web-of-issues-iot-to-en","status":"publish","type":"post","link":"https:\/\/academicwritersbay.com\/solutions\/job-you-is-seemingly-required-to-write-a-structured-research-immediate-analysing-how-in-type-companies-employ-cloud-essentially-based-enterprise-recordsdata-methods-bis-and-web-of-issues-iot-to-en\/","title":{"rendered":"Job You is seemingly required to write a structured research immediate analysing how in type companies employ cloud-essentially based Enterprise Recordsdata Methods (BIS) and Web of Issues (IoT) to enhance operations. You is seemingly expected to: Justify an underst"},"content":{"rendered":"

ASSESSMENT GUIDE<\/strong><\/h2>\n

ICT501 Enterprise Recordsdata Methods<\/strong><\/h2>\n

Semester 1, 2026<\/strong><\/p>\n

Review Overview<\/strong><\/p>\n

<\/p>\n\n\n\n\n\n\n
Review ID<\/strong><\/td>\nReview Item<\/strong><\/td>\nWhen due<\/strong><\/td>\nWeighting<\/strong><\/td>\nULO#<\/strong><\/td>\nCLO# for MITS<\/strong><\/td>\nCLO# for GDITS<\/strong><\/td>\nCLO# for GCITS<\/strong><\/td>\n<\/tr>\n
1<\/td>\nPresentation (Particular person)<\/td>\nSession 5<\/td>\n20%<\/td>\n1, 2<\/td>\n1, 3<\/td>\n1, 3<\/td>\n1, 3<\/td>\n<\/tr>\n
2<\/td>\nCase See (Particular person) (1000 Words)<\/td>\nSession 9<\/td>\n30%<\/td>\n1, 2, 3<\/td>\n1, 2, 3<\/td>\n1, 2, 3<\/td>\n1, 2, 3<\/td>\n<\/tr>\n
3*<\/td>\nChallenge File and Presentation (Neighborhood) (2000 Words)<\/td>\nSession 12<\/td>\n50%<\/td>\n1, 4, 5<\/td>\n1, 3, 4, 5<\/td>\n1, 3, 4, 5<\/td>\n1, 3, 4, 5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n

Show masks: * denotes ‘Hurdle Review Item’ that college students need to produce on the least 40% in this merchandise to pass the unit.<\/p>\n

Referencing Guides<\/strong><\/p>\n

You will must reference the overall sources of knowledge you can occupy extinct for your assessments. Please employ the IEEE referencing type when referencing for your assessments in this unit. Check with the library’s referencing guides for additional knowledge.<\/p>\n

    \n
  • https:\/\/elearning.vit.edu.au\/pluginfile.php\/473840\/block_html\/drawl\/VIT%20Library%20Referencing%20-%20IEEE%20-%2007042020.pdf<\/li>\n<\/ul>\n

    Tutorial Misconduct<\/strong><\/p>\n

    VIT enforces that the integrity of its college students’ tutorial stories follows a suitable stage of excellence. VIT will adhere to its VIT Policies, Procedures and Forms where it explains the importance of staff and pupil honesty in relation to tutorial work. It outlines the styles of behaviours that are “tutorial misconduct”, including plagiarism.<\/p>\n

    Leisurely Submissions<\/strong><\/p>\n

    In cases where there are no accredited mitigating conditions as bound via VIT Policies, Procedures and Forms, stupid submission of assessments will lead automatically to the imposition of a penalty. Penalties will be applied as soon as the cut-off date is reached.<\/p>\n

    Short Extensions and Special Consideration<\/strong><\/p>\n

    Special Consideration is a request for:<\/p>\n

      \n
    • Extensions of the due date for an review, other than an examination (e.g. assignment extension).<\/li>\n
    • Special Consideration (Special Consideration in relation to a Carried out review, including an dwell-of-unit Examination).<\/li>\n<\/ul>\n

      Students wishing to request Special Consideration in relation to an review the due date of which has now not yet handed need to have interaction in written emails to the instructing team to Quiz for Special Consideration as early as that you just will present you with the selection to bring to mind and sooner than initiate time of the review due date, alongside with any accompanying documents, similar to clinical certificates.<\/p>\n

      For additional knowledge, focus on over with VIT Policies, Procedures and Forms.<\/p>\n

      Inclusive and Equitable Review<\/strong><\/p>\n

      Practical adjustment in review ideas will be made to accommodate college students with a documented disability or impairment. Contact the unit instructing team for additional knowledge.<\/p>\n

      Contract Dishonest<\/strong><\/p>\n

      Contract dishonest on the overall entails the acquisition of an assignment or fragment of research from one other occasion. This could perchance presumably be facilitated by a fellow pupil, friend or purchased on a online page. Diversified styles of contract dishonest comprise paying one other person to sit down down an examination within the pupil’s space.<\/p>\n

      Contract dishonest warning:<\/p>\n

        \n
      • By paying anyone else to complete your tutorial work, you do now not learn as noteworthy as you’ve got whenever you perchance did the work your self.<\/li>\n
      • You is seemingly now not willing for the calls for of your future employment.<\/li>\n
      • You might presumably be found guilty of tutorial misconduct.<\/li>\n
      • Many of the dishonest companies recycle assignments despite ensures of “Normal, plagiarism-free work” so similarity is with out concerns detected by TurnItIn.<\/li>\n
      • Penalties for academic misconduct comprise suspension and exclusion.<\/li>\n
      • Students in some disciplines are required to dispute any findings of guilt for academic misconduct earlier than being accredited into clear professions (e.g., law).<\/li>\n
      • You might presumably present your deepest and monetary knowledge in an unsafe means, leaving your self open to many risks including that you just will present you with the selection to bring to mind identity theft.<\/li>\n
      • You also creep away your self open to blackmail – whenever you pay anyone else to attain an assignment for you, they know you can occupy engaged in fraudulent behaviour and can consistently blackmail you.<\/li>\n<\/ul>\n

        Grades<\/strong><\/p>\n

        We resolve your grades to the next Grading Design:<\/p>\n

        <\/p>\n\n\n\n\n\n\n\n\n
        Grade<\/strong><\/td>\nPercentage<\/strong><\/td>\n<\/tr>\n
        A<\/td>\n80% \u2013 100%<\/td>\n<\/tr>\n
        B<\/td>\n70% \u2013 Seventy nine%<\/td>\n<\/tr>\n
        C<\/td>\n60% \u2013 69%<\/td>\n<\/tr>\n
        D<\/td>\n50% \u2013 59%<\/td>\n<\/tr>\n
        F<\/td>\n0% \u2013 49%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        <\/p>\n

        <\/p>\n<\/p>\n

        Review Particulars for Review Item 1: Overview<\/strong><\/p>\n

        <\/p>\n\n\n\n\n
        Review ID<\/strong><\/td>\nReview Item<\/strong><\/td>\nWhen due<\/strong><\/td>\nWeighting<\/strong><\/td>\nULO#<\/strong><\/td>\nCLO# for MITS<\/strong><\/td>\nCLO# for GDITS<\/strong><\/td>\nCLO# for GCITS<\/strong><\/td>\n<\/tr>\n
        1<\/td>\nPresentation (Particular person)<\/td>\nSession 5<\/td>\n20%<\/td>\n1, 2<\/td>\n1, 3<\/td>\n1, 3<\/td>\n1, 3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        <\/p>\n

        ASSESSMENT ITEM 1: Particular person Research Temporary \u2013 BIS within the Age of Cloud and IoT<\/strong><\/p>\n

        Note Count: 1500 (+\/-10%)<\/p>\n

        Job<\/strong><\/p>\n

        You is seemingly required to write a structured research immediate analysing how in type companies employ cloud-essentially based Enterprise Recordsdata Methods (BIS) and Web of Issues (IoT) to enhance operations. You is seemingly expected to:<\/p>\n

          \n
        • Justify an notion of how BIS and IoT applied sciences feature and are deployed in plenty of industries.<\/li>\n
        • Explore the strategic and operational roles of these programs in enhancing commerce performance.<\/li>\n
        • Integrate tutorial research and precise-world data to illustrate how thought is applied in helpful settings.<\/li>\n
        • See how BIS and IoT applied sciences are reworking decision-making, service provide, automation, and data analytics in commerce environments.<\/li>\n
        • Embody examples from revealed case stories and scholarly literature.<\/li>\n<\/ul>\n

          Your immediate would perchance presumably restful now not steady portray these applied sciences, however critically review their advantages, obstacles, and utility contexts, supported by high quality references and commerce cases.<\/p>\n

          Structure Guidelines<\/strong><\/p>\n

          1. Introduction (approx. 200-250 phrases)<\/strong><\/p>\n

            \n
          • Outline BIS, cloud computing, and IoT<\/li>\n
          • Speak the reason for the immediate and key ingredients you will address<\/li>\n<\/ul>\n

            2. Strategic and Operational Benefits (approx. 400-500 phrases)<\/strong><\/p>\n

              \n
            • Justify how BIS and IoT make contributions to precise-time decision-making, automation, efficiency, and customer engagement<\/li>\n
            • Link these applied sciences to commerce approach and aggressive help<\/li>\n<\/ul>\n

              3. Risks and Barriers (approx. 300-400 phrases)<\/strong><\/p>\n

                \n
              • Discuss risks similar to data security, charge, dependency on vendors, and arrangement integration challenges<\/li>\n
              • Embody concerns for SMEs versus substantial enterprises<\/li>\n<\/ul>\n

                4. Case Stories (approx. 300-400 phrases)<\/strong><\/p>\n

                Embody two precise-world examples of companies the employ of cloud BIS and\/or IoT. Suggested case stories comprise:<\/p>\n

                  \n
                • Walmart: employ of cloud-essentially based BIS and IoT applied sciences for provide chain visibility, stock dangle a watch on, logistics coordination, and customer service enchancment<\/li>\n
                • Tesla: employ of connected devices, cloud programs, and precise-time data for car monitoring, predictive upkeep, instrument updates, and repair optimisation<\/li>\n<\/ul>\n

                  For every case look, beginners would perchance presumably restful:<\/p>\n

                    \n
                  • portray the commerce context<\/li>\n
                  • establish the BIS and\/or IoT tools extinct<\/li>\n
                  • demonstrate how these applied sciences had been applied<\/li>\n
                  • review the outcomes executed, including each and every advantages and obstacles<\/li>\n<\/ul>\n

                    5. Conclusion and Suggestions (approx. 150-200 phrases)<\/strong><\/p>\n

                      \n
                    • Summarise the first findings<\/li>\n
                    • Imply how companies would perchance presumably restful means BIS and IoT adoption strategically and responsibly<\/li>\n<\/ul>\n

                      6. References<\/strong><\/p>\n

                        \n
                      • Minimal 6 scholarly or commerce sources<\/li>\n
                      • Use IEEE referencing type<\/li>\n<\/ul>\n

                        Marking Rubrics<\/strong><\/p>\n

                        <\/p>\n\n\n\n\n\n\n\n\n
                        Requirements<\/strong><\/td>\nAesthetic (80%+) (Excessive Distinction) (90% of standards designate)<\/strong><\/td>\nAccurate (70-80%) (Distinction) (75% of standards designate)<\/strong><\/td>\nModerate (60-70%) (Credit) (65% of standards designate)<\/strong><\/td>\nBorderline (50-60%) (Pass) (55% of standards designate)<\/strong><\/td>\nUnlucky (40-50%) (Fail) (Forty five% of standards designate)<\/strong><\/td>\n0 Marks<\/strong><\/td>\n<\/tr>\n
                        Depth of Research (5 Marks)<\/strong><\/td>\n4.5 Marks – Demonstrates an nice notion of AI trends in company training. Engages deeply with tutorial and commerce sources.<\/td>\n3.75 Marks – Sturdy notion of AI in training with relevant examples however lacks depth in some areas.<\/td>\n3.25 Marks – Ample discussion of AI in training however minute exploration of cutting-edge functions.<\/td>\n2.75 Marks – Commonplace knowledge of AI with minimal discussion of its role in training. Some generalisations.<\/td>\n2.25 Marks – Unlucky notion of AI in training with diminutive to no relevant knowledge.<\/td>\nNo submission or entirely off-matter.<\/td>\n<\/tr>\n
                        Excessive Prognosis (5 Marks)<\/strong><\/td>\n4.5 Marks – AI integration ideas are exceptionally successfully-reasoned, demonstrating deep extreme thinking. Sturdy review of future trends.<\/td>\n3.75 Marks – Well-reasoned AI integration ideas with a appropriate review of future trends. Some minor gaps in extreme analysis.<\/td>\n3.25 Marks – AI integration ideas are demonstrate however lack depth. Future trends mentioned however now not critically evaluated.<\/td>\n2.75 Marks – Superficial analysis with unclear AI integration ideas. Future trends mentioned however now not successfully developed.<\/td>\n2.25 Marks – Venerable or no extreme analysis. AI integration and future trends are imprecise or lacking.<\/td>\nNo submission or entirely off-matter.<\/td>\n<\/tr>\n
                        Use of Proof (5 Marks)<\/strong><\/td>\n4.5 Marks – Makes employ of high quality tutorial sources, commerce stories, and precise-world case stories successfully. Sturdy citations for the duration of.<\/td>\n3.75 Marks – Makes employ of appropriate tutorial and commerce sources with clear citations, though some areas will be extra sturdy.<\/td>\n3.25 Marks – Relies on a combine of tutorial and non-tutorial sources. Some citations will be lacking or extinct.<\/td>\n2.75 Marks – Restricted tutorial sources. Venerable or inconsistent citations. Heavy reliance on non-tutorial sources.<\/td>\n2.25 Marks – Little to no supporting proof. Few or no citations.<\/td>\nNo submission or clear plagiarism.<\/td>\n<\/tr>\n
                        Readability & Professionalism (2 Marks)<\/strong><\/td>\n1.8 Marks – Exceptionally clear, successfully-structured file with professional writing. Presentation is polished and enticing.<\/td>\n1.5 Marks – Well-structured and clear, however some minor concerns with professionalism or readability.<\/td>\n1.3 Marks – Most often clear, however some structural inconsistencies. Writing would perchance presumably lack precision.<\/td>\n1.1 Marks – Noticeable writing and structural concerns affecting readability.<\/td>\n0.9 Marks – Poorly structured, advanced to be aware, and unprofessional.<\/td>\nNo submission or unreadable.<\/td>\n<\/tr>\n
                        Use of AI in File (3 Marks)<\/strong><\/td>\n2.7 Marks – Prominent employ of AI tools for drawl technology, analysis, or visualization. Clearly explained within the file.<\/td>\n2.25 Marks – Effective employ of AI tools with minor gaps in rationalization or utility.<\/td>\n1.95 Marks – Some AI tools extinct, however minute rationalization or affect on the file.<\/td>\n1.65 Marks – Minimal AI employ with diminutive readability on how it contributed to the file.<\/td>\n1.35 Marks – AI tools now not extinct or their utility is unclear.<\/td>\nNo submission or AI misused (e.g., low AI-generated drawl with out extreme engagement).<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                        <\/p>\n

                        <\/p>\n<\/p>\n

                        Review 2: Recordsdata Visualisation Job \u2013 eCommerce Dashboard Comprise<\/strong><\/p>\n

                        <\/p>\n\n\n\n\n
                        Review ID<\/strong><\/td>\nReview Item<\/strong><\/td>\nWhen due<\/strong><\/td>\nWeighting<\/strong><\/td>\nULO#<\/strong><\/td>\nCLO# for MITS<\/strong><\/td>\nCLO# for GDITS<\/strong><\/td>\nCLO# for GCITS<\/strong><\/td>\n<\/tr>\n
                        2<\/td>\nCase See (Particular person) (1000 Words)<\/td>\nSession 9<\/td>\n30%<\/td>\n1, 2, 3<\/td>\n1, 2, 3<\/td>\n1, 2, 3<\/td>\n1, 2, 3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                        <\/p>\n

                        Job<\/strong><\/p>\n

                        In this review, beginners are required to private an eCommerce dashboard interface that helps commerce decision-making in an on-line retail atmosphere. The dashboard needs to be in accordance with mock data, supplied data, or a self-created sample dataset that reflects practical commerce operations.<\/p>\n

                        The dashboard will be developed the employ of Vitality BI, Tableau, Excel, or one other ethical visualisation tool. A hand-drawn dashboard thought can be acceptable, supplied it’s evident, professional, and logically structured. The dashboard need to account for how Enterprise Recordsdata Methods (BIS) can help reporting, performance monitoring, and decision-making in eCommerce.<\/p>\n

                        The accompanying written file would perchance presumably restful demonstrate the dashboard private, define the chosen visualisations and key performance indicators (KPIs), portray the BIS atmosphere within the help of the dashboard, and critically focus on the ethical and governance concerns connected to the employ of commerce data.<\/p>\n

                        A visible of the dashboard needs to be embedded within the work or connected as an appendix.<\/p>\n

                        Enterprise Speak of affairs<\/strong><\/p>\n

                        Deem you is seemingly designing a dashboard for an on-line retail commerce manager who needs to video display sales performance, customer behaviour, and operational trends. Your dashboard would perchance presumably restful help the commerce make suggested decisions about advertising effectiveness, customer engagement, and sales enchancment.<\/p>\n

                        1. Introduction (approx. 150 phrases)<\/strong><\/p>\n

                          \n
                        • Introduce the reason for the dashboard.<\/li>\n
                        • Briefly demonstrate the eCommerce commerce context.<\/li>\n
                        • Speak what the dashboard is designed to provide for decision-makers.<\/li>\n<\/ul>\n

                          2. Dashboard Comprise Description (approx. 300-400 phrases)<\/strong><\/p>\n

                            \n
                          • Checklist the layout and key sections of your dashboard.<\/li>\n
                          • Justify the reason for every characteristic or visual tell.<\/li>\n
                          • Justify the employ of plenty of visualisation kinds similar to bar charts, line graphs, pie charts, tables, heat maps, slicers, or filters.<\/li>\n
                          • Justify how the dashboard helps commerce users in interpreting performance rapidly and successfully.<\/li>\n<\/ul>\n

                            3. KPIs and Enterprise Significance (approx. 200 phrases)<\/strong><\/p>\n

                            Identify the first KPIs displayed within the dashboard, similar to:<\/p>\n

                              \n
                            • complete sales<\/li>\n
                            • conversion rate<\/li>\n
                            • abandoned cart rate<\/li>\n
                            • customer retention<\/li>\n
                            • practical direct imprint<\/li>\n
                            • prime-selling products<\/li>\n<\/ul>\n

                              Justify why these KPIs are critical for eCommerce decision-making.<\/p>\n

                              4. BIS Structure and Integration (approx. 200-250 phrases)<\/strong><\/p>\n

                              Justify where the dashboard data originates from, similar to:<\/p>\n

                                \n
                              • eCommerce platform<\/li>\n
                              • CRM arrangement<\/li>\n
                              • stock database<\/li>\n
                              • fee arrangement<\/li>\n
                              • net analytics tools<\/li>\n
                              • Checklist how data flows via the BIS atmosphere.<\/li>\n
                              • Justify how data is composed, transformed, and introduced within the dashboard.<\/li>\n<\/ul>\n

                                5. Ethical and Recordsdata Governance Concerns (approx. 200-250 phrases)<\/strong><\/p>\n

                                Critically focus on concerns similar to:<\/p>\n

                                  \n
                                • customer privacy<\/li>\n
                                • consent and responsible data sequence<\/li>\n
                                • data accuracy and reporting reliability<\/li>\n
                                • user get entry to carry a watch on<\/li>\n
                                • dashboard misuse or misinterpretation<\/li>\n
                                • Justify why governance matters in digital reporting environments.<\/li>\n<\/ul>\n

                                  6. Conclusion (approx. 100 phrases)<\/strong><\/p>\n

                                    \n
                                  • Summarise the charge of the dashboard.<\/li>\n
                                  • Briefly highlight areas for future enchancment.<\/li>\n<\/ul>\n

                                    7. References<\/strong><\/p>\n

                                      \n
                                    • Use IEEE referencing type.<\/li>\n
                                    • Embody on the least 4 relevant tutorial or commerce sources.<\/li>\n<\/ul>\n

                                      Submission Requirements<\/strong><\/p>\n

                                        \n
                                      • Submit a written file of roughly 1000 phrases.<\/li>\n
                                      • Embody a visual of your dashboard within the work or as an appendix.<\/li>\n
                                      • Be clear the dashboard is clearly labelled and professionally introduced.<\/li>\n
                                      • The work would perchance presumably restful account for each and every technical notion and commerce insight.<\/li>\n<\/ul>\n

                                        Suggested Dashboard Metrics<\/strong><\/p>\n

                                        Your dashboard would perchance presumably comprise, however is now not minute to, the next metrics:<\/p>\n

                                          \n
                                        • complete earnings<\/li>\n
                                        • preference of orders<\/li>\n
                                        • practical direct imprint<\/li>\n
                                        • conversion rate<\/li>\n
                                        • cart abandonment rate<\/li>\n
                                        • return rate<\/li>\n
                                        • customer retention rate<\/li>\n
                                        • most spirited-performing product categories<\/li>\n<\/ul>\n

                                          Marking Rubrics<\/strong><\/p>\n

                                          <\/p>\n\n\n\n\n\n\n\n\n\n
                                          Requirements<\/strong><\/td>\nAesthetic (80%+) (Excessive Distinction) (90% of standards designate)<\/strong><\/td>\nAccurate (70-80%) (Distinction) (75% of standards designate)<\/strong><\/td>\nModerate (60-70%) (Credit) (65% of standards designate)<\/strong><\/td>\nBorderline (50-60%) (Pass) (55% of standards designate)<\/strong><\/td>\nUnlucky (40-50%) (Fail) (Forty five% of standards designate)<\/strong><\/td>\n0 Marks<\/strong><\/td>\n<\/tr>\n
                                          Identify Benefits (6 Marks)<\/strong><\/td>\n5.4 Marks – Clearly identifies a number of successfully-explained advantages of commerce analytics with solid supporting examples and commerce relevance.<\/td>\n4.5 Marks – Identifies key advantages with appropriate explanations and relevant examples however lacks some depth.<\/td>\n3.9 Marks – Identifies some advantages with minute rationalization or precise-world examples.<\/td>\n3.3 Marks – Identifies advantages however lacks depth in rationalization, with generic ingredients.<\/td>\n2.7 Marks – Benefits are imprecise, unclear, or lacking, with diminutive to no rationalization.<\/td>\nNo submission or entirely off-matter.<\/td>\n<\/tr>\n
                                          Discuss the Challenges (6 Marks)<\/strong><\/td>\n5.4 Marks – Affords a detailed discussion of challenges with extreme analysis and commerce-explicit examples.<\/td>\n4.5 Marks – Discusses relevant challenges with appropriate analysis however lacks depth in some areas.<\/td>\n3.9 Marks – Identifies challenges however with minute depth or extreme review.<\/td>\n3.3 Marks – Mentions challenges however lacks a clear discussion or supporting examples.<\/td>\n2.7 Marks – Challenges are imprecise or lacking, with diminutive extreme notion.<\/td>\nNo submission or entirely off-matter.<\/td>\n<\/tr>\n
                                          Existing 1-2 Case Stories (6 Marks)<\/strong><\/td>\n5.4 Marks – Items 1-2 successfully-researched, relevant case stories with solid analysis and supporting data.<\/td>\n4.5 Marks – Items relevant case stories with appropriate analysis however lacks supporting critical ingredients or precise-world utility.<\/td>\n3.9 Marks – Affords case stories however with minute analysis or depth.<\/td>\n3.3 Marks – Mentions case stories however lacks readability or upright discussion.<\/td>\n2.7 Marks – Case stories are unclear, beside the level, or lacking.<\/td>\nNo submission or entirely off-matter.<\/td>\n<\/tr>\n
                                          Analyze Emerging Traits (5 Marks)<\/strong><\/td>\n4.5 Marks – Insightful analysis of emerging trends in commerce analytics with solid proof and precise-world relevance.<\/td>\n3.75 Marks – Identifies key emerging trends with appropriate analysis however lacks some depth.<\/td>\n3.25 Marks – Affords accepted discussion on trends with minute analysis or examples.<\/td>\n2.75 Marks – Mentions trends however lacks ample discussion or precise-world relevance.<\/td>\n2.25 Marks – Emerging trends are unclear, old fashioned, or lacking.<\/td>\nNo submission or entirely off-matter.<\/td>\n<\/tr>\n
                                          References in IEEE layout (7 Marks)<\/strong><\/td>\n6.3 Marks – Makes employ of high quality tutorial and commerce sources, successfully formatted in IEEE type with no errors.<\/td>\n5.25 Marks – Makes employ of appropriate sources with mostly excellent IEEE citations however minor formatting mistakes.<\/td>\n4.55 Marks – Makes employ of a combine of tutorial and non-tutorial sources; citations occupy a number of errors.<\/td>\n3.85 Marks – Restricted employ of credible sources; IEEE quotation layout is extinct or inconsistent.<\/td>\n3.15 Marks – Few or no references; IEEE formatting is unsuitable or absent.<\/td>\nNo references or clear plagiarism.<\/td>\n<\/tr>\n
                                          Penalty: Plagiarism\/Absenteeism \u2014 0 Marks (if plagiarism detected or absent from discussion)<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                                          <\/p>\n

                                          <\/p>\n<\/p>\n

                                          ASSESSMENT ITEM 3: Neighborhood BIS Resolution File and Implementation Discussion<\/strong><\/p>\n

                                          Overview<\/strong><\/p>\n

                                          <\/p>\n\n\n\n\n
                                          Review ID<\/strong><\/td>\nReview Item<\/strong><\/td>\nWhen due<\/strong><\/td>\nWeighting<\/strong><\/td>\nULO#<\/strong><\/td>\nCLO# for MITS<\/strong><\/td>\nCLO# for GDITS<\/strong><\/td>\nCLO# for GCITS<\/strong><\/td>\n<\/tr>\n
                                          3<\/td>\nChallenge File and Presentation (Neighborhood) (2000 Words)<\/td>\nSession 12<\/td>\n50%<\/td>\n1, 4, 5<\/td>\n1, 3, 4, 5<\/td>\n1, 3, 4, 5<\/td>\n1, 3, 4, 5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                                          <\/p>\n

                                          Job<\/strong><\/p>\n

                                          In this neighborhood review, beginners are required to analyse, private, and counsel a feasible Enterprise Recordsdata Blueprint (BIS) answer for a precise-world organisation in accordance with the given be troubled. Every neighborhood will put up a detailed written file and take part in a recorded neighborhood discussion to define and defend its proposed answer and implementation means.<\/p>\n

                                          The review is designed to judge the neighborhood’s means to establish BIS challenges, stare risks, be aware emerging applied sciences, and counsel an built-in answer that improves commerce performance, operational efficiency, and customer trip.<\/p>\n

                                          Speak of affairs: Woolworths Neighborhood \u2013 Retail Enterprise Recordsdata Methods<\/strong><\/p>\n

                                          Woolworths Neighborhood is one of Australia’s greatest retail organisations, operating supermarkets, on-line platforms, and intensive provide chain networks all over the nation. The organisation is currently going via challenges in integrating its on-line and physical retail operations due to old fashioned programs, delayed get entry to to commerce data, and minute visibility all over sales, stock, and customer channels.<\/p>\n

                                          The leadership team is in search of a solution to modernise its Enterprise Recordsdata Methods in direct to toughen operational efficiency, help higher decision-making, and enhance customer pleasure. This involves upgrading level-of-sale programs, integrating provide chain tracking, bettering sinful-channel data visibility, and leveraging man made intelligence to higher realize customer purchasing patterns and help predictive stock planning.<\/p>\n

                                          Your neighborhood is required to analyse Woolworths’ BIS gaps, establish cybersecurity and data creep with the movement risks, and private a helpful answer that integrates in type applied sciences and helps commerce enchancment.<\/p>\n

                                          Review Design<\/strong><\/p>\n

                                          Part A: Neighborhood File (25 marks)<\/strong><\/p>\n

                                          Your neighborhood need to put together a 2000-notice file addressing the next three areas:<\/p>\n

                                          1. The Role of Recordsdata Analytics in Woolworths’ BIS<\/strong><\/p>\n

                                            \n
                                          • Justify how Woolworths can employ data analytics to toughen commerce performance.<\/li>\n
                                          • Discuss the role of predictive analytics, dashboards, customer behaviour analysis, and pattern data in supporting decision-making, stock planning, and operational efficiency.<\/li>\n
                                          • Show masks how these tools can help each and every strategic and day-to-day commerce activities.<\/li>\n<\/ul>\n

                                            2. Cybersecurity Challenges<\/strong><\/p>\n

                                            Identify main cybersecurity risks all over Woolworths’ BIS atmosphere, similar to:<\/p>\n

                                              \n
                                            • level-of-sale programs<\/li>\n
                                            • cell functions<\/li>\n
                                            • supplier programs<\/li>\n
                                            • customer data platforms<\/li>\n
                                            • on-line transactions<\/li>\n<\/ul>\n

                                              Imply acceptable controls and risk mitigation ideas, similar to:<\/p>\n

                                                \n
                                              • get entry to controls<\/li>\n
                                              • encryption<\/li>\n
                                              • authentication mechanisms<\/li>\n
                                              • monitoring and incident response<\/li>\n
                                              • recognised cybersecurity frameworks similar to ISO 27001 or the NIST Cybersecurity Framework<\/li>\n<\/ul>\n

                                                3. Impression of Emerging Technologies<\/strong><\/p>\n

                                                Critically review how emerging applied sciences can toughen Woolworths’ BIS. You might presumably set up in thoughts applied sciences similar to:<\/p>\n

                                                  \n
                                                • blockchain for provide chain traceability<\/li>\n
                                                • edge computing for store-stage data processing<\/li>\n
                                                • man made intelligence for query forecasting, personalisation, and customer insights<\/li>\n<\/ul>\n

                                                  Discuss the helpful advantages, implementation challenges, and commerce imprint of these applied sciences.<\/p>\n

                                                  Urged File Structure<\/strong><\/p>\n

                                                  1. Introduction (approx. 200 phrases)<\/strong><\/p>\n

                                                    \n
                                                  • Introduce Woolworths and the reason for the file.<\/li>\n
                                                  • Briefly summarise the BIS concerns going via the organisation.<\/li>\n
                                                  • Outline the most primary areas that will be analysed.<\/li>\n<\/ul>\n

                                                    2. BIS Gaps and Organisational Challenges (approx. 300-400 phrases)<\/strong><\/p>\n

                                                      \n
                                                    • Justify the hot BIS obstacles within the be troubled.<\/li>\n
                                                    • Discuss concerns similar to fragmented programs, leisurely data get entry to, minute sinful-channel integration, and operational inefficiencies.<\/li>\n<\/ul>\n

                                                      3. The Role of Recordsdata Analytics in Woolworths’ BIS (approx. 450-500 phrases)<\/strong><\/p>\n

                                                        \n
                                                      • Analyse how dashboards, predictive analytics, and customer pattern analysis can help commerce performance.<\/li>\n
                                                      • Justify the charge of knowledge-pushed decisions in retail operations.<\/li>\n<\/ul>\n

                                                        4. Cybersecurity Challenges and Menace Controls (approx. 400-450 phrases)<\/strong><\/p>\n

                                                          \n
                                                        • Identify the most primary cybersecurity threats in Woolworths’ BIS atmosphere.<\/li>\n
                                                        • Imply helpful security controls, governance mechanisms, and frameworks.<\/li>\n<\/ul>\n

                                                          5. Emerging Technologies and BIS Innovation (approx. 400-450 phrases)<\/strong><\/p>\n

                                                            \n
                                                          • Rob into myth how applied sciences similar to AI, blockchain, and edge computing can toughen Woolworths’ programs.<\/li>\n
                                                          • Rob into myth each and every opportunities and implementation obstacles.<\/li>\n<\/ul>\n

                                                            6. Suggestions and Implementation Priorities (approx. 200-250 phrases)<\/strong><\/p>\n

                                                              \n
                                                            • Existing clear, helpful ideas for Woolworths.<\/li>\n
                                                            • Imply implementation priorities and demonstrate how the proposed BIS enhancements will be launched successfully.<\/li>\n<\/ul>\n

                                                              7. Conclusion (approx. 100-150 phrases)<\/strong><\/p>\n

                                                                \n
                                                              • Summarise the first findings of the file.<\/li>\n
                                                              • Beef up the charge of a contemporary, built-in BIS answer for Woolworths.<\/li>\n<\/ul>\n

                                                                8. References<\/strong><\/p>\n

                                                                  \n
                                                                • Use IEEE referencing type.<\/li>\n
                                                                • Embody relevant tutorial and commerce sources to reduction your analysis.<\/li>\n<\/ul>\n

                                                                  Part B: Recorded Neighborhood Discussion (25 marks)<\/strong><\/p>\n

                                                                  Every neighborhood need to behavior a 20-minute recorded discussion the employ of Zoom or Microsoft Groups.<\/p>\n

                                                                  Requirements<\/strong><\/p>\n

                                                                    \n
                                                                  • All neighborhood participants need to participate.<\/li>\n<\/ul>\n

                                                                    The discussion needs to be in accordance with the three core file areas:<\/p>\n

                                                                      \n
                                                                    • data analytics<\/li>\n
                                                                    • cybersecurity challenges<\/li>\n
                                                                    • emerging applied sciences<\/li>\n<\/ul>\n

                                                                      The discussion would perchance presumably restful account for:<\/p>\n

                                                                        \n
                                                                      • person contribution<\/li>\n
                                                                      • extreme engagement with the be troubled<\/li>\n
                                                                      • the means to define and defend the neighborhood’s proposed BIS answer<\/li>\n<\/ul>\n

                                                                        Crucial Show masks<\/strong><\/p>\n

                                                                        This tell is a discussion, now not a presentation.<\/p>\n

                                                                        If the neighborhood data a dart-essentially based presentation in want to a discussion, the neighborhood will receive 0 marks for this tell.<\/p>\n

                                                                        Part C: Particular person Self-Reflection<\/strong><\/p>\n

                                                                        Every learner need to put up a person 300-notice reflection outlining:<\/p>\n

                                                                          \n
                                                                        • their explicit role within the neighborhood<\/li>\n
                                                                        • their contribution to the file and discussion<\/li>\n
                                                                        • challenges faced for the duration of the duty<\/li>\n
                                                                        • lessons realized from the neighborhood project trip<\/li>\n<\/ul>\n

                                                                          This reflection is supposed to illustrate deepest engagement, accountability, and insight into collaborative work.<\/p>\n

                                                                          Submission Requirements<\/strong><\/p>\n

                                                                            \n
                                                                          • Submit one neighborhood file of 2000 phrases<\/li>\n
                                                                          • Submit one 20-minute recorded neighborhood discussion<\/li>\n
                                                                          • Submit one person 300-notice reflection per neighborhood member<\/li>\n
                                                                          • Use IEEE referencing type<\/li>\n
                                                                          • Be clear the work is analytical, practical, and clearly linked to the Woolworths be troubled<\/li>\n<\/ul>\n

                                                                            Suggested Supporting Sources<\/strong><\/p>\n

                                                                            [1] D. Grewal, “Leveraging In-Retailer Skills and AI: Rising Efficiency and Innovation in Retail,” Journal of Retailing, vol. Ninety nine, no. 2, pp. 143-160, 2023.<\/p>\n

                                                                            [2] Y. Adulyasak, M. C. Cohen, W. Khern-am-nuai, and M. Krause, “Retail Analytics within the Contemporary Commonplace: The Have an effect on of Synthetic Intelligence and the COVID-19 Pandemic,” arXiv preprint, arXiv:2312.00046, 2023.<\/p>\n

                                                                            [3] H. A. Mohamed, A. Ramadan, M. Magdy, R. Abdelwahab, S. Ashraf, and Z. Mohamed, “Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI,” arXiv preprint, arXiv:2405.00023, 2024.<\/p>\n

                                                                            Marking Rubric \u2013 Neighborhood File (25 Marks)<\/strong><\/p>\n

                                                                            <\/p>\n\n\n\n\n\n\n\n\n
                                                                            Requirements<\/strong><\/td>\nAesthetic (80%+) (Excessive Distinction) (90% of standards designate)<\/strong><\/td>\nAccurate (70-80%) (Distinction) (75% of standards designate)<\/strong><\/td>\nModerate (60-70%) (Credit) (65% of standards designate)<\/strong><\/td>\nBorderline (50-60%) (Pass) (55% of standards designate)<\/strong><\/td>\nUnlucky (40-50%) (Fail) (Forty five% of standards designate)<\/strong><\/td>\n0 Marks<\/strong><\/td>\n<\/tr>\n
                                                                            Recordsdata Analytics in BIS (6 Marks)<\/strong><\/td>\n5.4 \u2013 In-depth analysis of analytics in Woolworths BIS with solid precise-world examples<\/td>\n4.5 \u2013 Sturdy rationalization with minor gaps<\/td>\n3.9 \u2013 Moderate tell, some unclear functions<\/td>\n3.3 \u2013 Superficial rationalization<\/td>\n2.7 \u2013 Imprecise or wrong<\/td>\nOff-matter or lacking<\/td>\n<\/tr>\n
                                                                            Cybersecurity Prognosis (6 Marks)<\/strong><\/td>\n5.4 \u2013 Complete analysis with justifiable solutions and standards (ISO\/NIST)<\/td>\n4.5 \u2013 Accurate discussion, however lacks tell in frameworks or examples<\/td>\n3.9 \u2013 Identifies risks however with overall solutions<\/td>\n3.3 \u2013 Mentions risks vaguely<\/td>\n2.7 \u2013 Minimal or beside the level drawl<\/td>\nOff-matter or lacking<\/td>\n<\/tr>\n
                                                                            Emerging Skills Impression (6 Marks)<\/strong><\/td>\n5.4 \u2013 Certain review of relevant applied sciences with explicit retail functions<\/td>\n4.5 \u2013 Identifies relevant tech with minute depth<\/td>\n3.9 \u2013 Surface-stage connections<\/td>\n3.3 \u2013 Mentions applied sciences with out connection<\/td>\n2.7 \u2013 Misunderstands or omits applied sciences<\/td>\nOff-matter or lacking<\/td>\n<\/tr>\n
                                                                            Structure & Writing (4 Marks)<\/strong><\/td>\n3.6 \u2013 Certain, logical, professional, minimal errors<\/td>\n3.0 \u2013 Most often clear, minor formatting concerns<\/td>\n2.6 \u2013 Some building however now not polished<\/td>\n2.2 \u2013 Unlucky building affecting readability<\/td>\n1.8 \u2013 Unstructured and now not easy to be aware<\/td>\nNo submission<\/td>\n<\/tr>\n
                                                                            IEEE Referencing (3 Marks)<\/strong><\/td>\n2.7 \u2013 Correct IEEE type, minimum 6 sources<\/td>\n2.25 \u2013 Largely excellent with minor errors<\/td>\n1.95 \u2013 Some errors and lacking sources<\/td>\n1.65 \u2013 Venerable and inconsistent layout<\/td>\n1.35 \u2013 Unsuitable or insufficient<\/td>\nNo references or plagiarism<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                                                                            <\/p>\n

                                                                            Neighborhood Discussion Value Rubric<\/strong><\/p>\n

                                                                            <\/p>\n\n\n\n\n\n\n\n\n
                                                                            Requirements<\/strong><\/td>\nAesthetic (80%+) (Excessive Distinction) (90% of standards designate)<\/strong><\/td>\nAccurate (70-80%) (Distinction) (75% of standards designate)<\/strong><\/td>\nModerate (60-70%) (Credit) (65% of standards designate)<\/strong><\/td>\nBorderline (50-60%) (Pass) (55% of standards designate)<\/strong><\/td>\nUnlucky (40-50%) (Fail) (Forty five% of standards designate)<\/strong><\/td>\n0 Marks<\/strong><\/td>\n<\/tr>\n
                                                                            Quality of Points Contributed (6 Marks)<\/strong><\/td>\n5.4 Marks – Affords successfully-researched, insightful, and relevant ingredients that add critical imprint to the discussion. Helps arguments with solid proof and precise-world examples.<\/td>\n4.5 Marks – Contributes relevant and successfully-reasoned ingredients however lacks depth in some areas. Affords some supporting proof.<\/td>\n3.9 Marks – Shares relevant ideas however with minute depth or supporting proof.<\/td>\n3.3 Marks – Affords accepted ingredients however lacks readability, depth, or clear notion.<\/td>\n2.7 Marks – Contributions are minimal, imprecise, or repetitive, exhibiting diminutive notion.<\/td>\nNo contribution or entirely off-matter.<\/td>\n<\/tr>\n
                                                                            Energetic Participation and Engagement (5 Marks)<\/strong><\/td>\n4.5 Marks – Engages actively for the duration of the discussion, listens attentively, asks insightful questions, and responds successfully to neighborhood participants.<\/td>\n3.75 Marks – Engages successfully, asks relevant questions, and responds to others, though with minor lapses in attentiveness.<\/td>\n3.25 Marks – Participates however with minute engagement or responses to other neighborhood participants.<\/td>\n2.75 Marks – Speaks as soon as in a while however reveals minimal effort in taking part with the discussion.<\/td>\n2.25 Marks – Barely participates, doesn’t make contributions to neighborhood interactions, or is disengaged.<\/td>\nNo participation.<\/td>\n<\/tr>\n
                                                                            Readability and Conversation (4 Marks)<\/strong><\/td>\n3.6 Marks – Communicates ideas clearly and confidently with solid articulation, logical creep with the movement, and professionalism.<\/td>\n3.0 Marks – Expresses ideas clearly, however some ingredients lack building or precision.<\/td>\n2.6 Marks – Communicates adequately, though with occasional hesitations or unclear explanations.<\/td>\n2.2 Marks – Struggles with readability, on the overall presenting ideas in a confusing formula.<\/td>\n1.8 Marks – Unlucky verbal exchange with unclear or disorganized speech.<\/td>\nNo contribution.<\/td>\n<\/tr>\n
                                                                            Self-Reflection Submission (4 Marks)<\/strong><\/td>\n3.6 Marks – Affords a highly detailed and considerate self-reflection, discussing key takeaways, strengths, and areas for enchancment.<\/td>\n3.0 Marks – Submits a appropriate self-reflection, covering key ingredients however lacking depth in self-analysis.<\/td>\n2.6 Marks – Submits a self-reflection however with minute analysis of deepest contribution and studying.<\/td>\n2.2 Marks – Reflection is imprecise, lacks tell, or doesn’t address key ingredients of the review.<\/td>\n1.8 Marks – Minimal or incomplete self-reflection with diminutive deepest insight.<\/td>\nNo self-reflection submitted.<\/td>\n<\/tr>\n
                                                                            Neighborhood Cohesion & Collaboration (3 Marks)<\/strong><\/td>\n2.7 Marks – Works exceptionally successfully with the team, encourages balanced participation, builds on others’ ideas, and fosters a productive discussion atmosphere.<\/td>\n2.25 Marks – Engages successfully with the team, responds to others’ contributions, and helps preserve neighborhood dynamics.<\/td>\n1.95 Marks – Interacts with team participants however doesn’t considerably make contributions to neighborhood brotherly love.<\/td>\n1.65 Marks – Minimal effort in working with others; doesn’t have interaction noteworthy with neighborhood dynamics.<\/td>\n1.35 Marks – Would now not work successfully with the team, disrupts discussion, or fails to collaborate.<\/td>\nNo participation in neighborhood brotherly love.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                                                                            <\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                            ASSESSMENT GUIDE ICT501 Enterprise Recordsdata Methods Semester 1, 2026 Review Overview Review ID Review Item When due Weighting ULO# CLO# for MITS CLO# for GDITS CLO# for GCITS 1 Presentation (Particular person) Session 5 20% 1, 2 1, 3 1, 3 1, 3 2 Case See (Particular person) (1000 Words) Session 9 30% 1, 2, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-30893","post","type-post","status-publish","format-standard","hentry","category-solutions"],"_links":{"self":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/posts\/30893","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/comments?post=30893"}],"version-history":[{"count":0,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/posts\/30893\/revisions"}],"wp:attachment":[{"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/media?parent=30893"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/categories?post=30893"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/academicwritersbay.com\/solutions\/wp-json\/wp\/v2\/tags?post=30893"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}