Business Intelligence | My Assignment Tutor -

Department of Information Technology Page 1 of 4ICON College of Technology and ManagementPearson BTEC HND in Computing (RQF)Unit 14: Business Intelligence (L5)Schedule of Work (SoW)This unit is aimed at achieving the following learning outcomes:LO1: Discuss business processes and the mechanisms used to support business decision-making.LO2: Compare the tools and technologies associated with business intelligence functionality.LO3: Demonstrate the use of business intelligence tools and technologies.LO4: Discuss the impact of business intelligence tools and technologies for effective decision-makingpurposes and the legal/regulatory context in which they are used. SessionSession Activities, guidance and Topic will be deliveredActivitiesWeek1LO1Introduction to the unit and the Pearson set assignment.Business processesActivities:• Discussion and presentation on data input and capture, dataprocessing/conversion and information output (I/O diagram).• Lecture and general introduction to business process modelling.• Practical activity: Students to produce an (I/O) for a given scenario.Data typesActivities:• Lecture introducing students to different data types: unstructured andsemi-structured.• Group activity: Students to produce a table of examples for unstructuredand semi-structured data.Subject IntroductionLectureGroup discussionSeminarAcademic writingWeek2LO1Mechanisms to support business processesActivities:• Lecture introducing the mechanisms used to support businessprocesses such as applications software, for example: spreadsheets,database, presentation, graphics, desk-top publishing and wordprocessing.• Practical activity researching the role of business processes within anorganisation and their function at different levels.Workshop and in class assignment supportActivities:Opportunity for students to undertake research within a supervised environment.LectureDemonstrationGroup discussionSeminarQuizAcademic writingProviding courseworkWeek3LO2Business Intelligence systems and technologiesactivities:• Lecture introducing the systems and technologies associated withbusiness intelligence functionality.• Guest speaker: Invite a guest speaker to discuss business systemfunctionality within their organisation.Business decision supportActivities:• Lecture introducing students to the type of support for businessdecisions at operational tactical and strategic levels within anorganisation.• Student activity: Students to find examples of business decisions thatare made within an organisation at the operational, tactical and strategiclevels.• Class discussion and feedback: Following the activity, class to discusstheir examples. Operational decision examples could include productpositioning or pricing. Tactical decisions could include financial outlaysLectureSeminarGroup discussionQ/AsAcademic writingDraft submission ofLO1 for formativefeedback Department of Information Technology Page 2 of 4 to gain competitive advantage. Strategic business decisions couldinclude priorities, goals setting, forecasting for the future and globaldiversification.Week4LO2Business intelligence functionalityActivities:• Lecture on business intelligence functionality: analysing data, decisionmaking, problem solving and designing more intuitive/innovativesystems.Decision support systemsActivities:• Lecture on the history and development of decision support systems(DSS).• Discussion on how business intelligence has evolved from technologiessuch as decision support systems (DSS) to include tools and methodsassociated with data mining, data integration, data quality and datawarehousing in conjunction with other information management systemsand applications.• Practical activity: Students to find examples of transaction processingsystems, management information systems, decision support systemsand expert systems.LectureGroup discussionPracticeAcademic writingWeek5LO2Workshop and in class assignment supportActivities:• Opportunity for students to undertake research within a supervisedenvironment. Online multiple choice quiz on research methods.Group discussionIndividual researchactivityAssignment writingWeek6LO3Business intelligence tools and techniquesActivities:• Lecture and presentation on the tools and techniques that supportbusiness intelligence.• Presentation introducing students to descriptive and predictive analysis,predictive modelling (e.g. forecasting and the use of statistical models topredict and identify trends).• Practical activity: Students to find examples of how data miningtechniques can be used to find anomalies, cluster patterns and/orrelationships between data sets.Business intelligence solutionsActivities:• Lecture providing an understanding of how business intelligence canaddress organisational problems and provide solutions.• Discussion on business intelligence solutions, to support a businessprocess (e.g. end user requirement, systems requirement, anapplication) to automate procedures.• Practical activity: Students to start designs on a tool, program orpackage to perform a specific task/provide a solution to a given problem.LectureGroup discussionDraft submission ofLO2 for formativefeedbackWeek7LO3Business intelligence designActivities:• Lecture and discussion to support the practical activity: Identify uses forthe design (e.g. designing an application to solve a specific user need orsystem requirement).• Visual demonstration of business intelligence solution (e.g. an ecommerce function for a website) to support a specific businessprocess. Design a program for a specific end user that will supportanother application or process.Customising business intelligence designsActivities:• Lecture and support for the practical activity identify designconsiderations: addressing a user or system requirement; designing auser-friendly and functional interface; considering user engagement andinteraction with the designed solution; customisation of the solution tosatisfy the user and system requirements.LectureGroup discussionPractice Department of Information Technology Page 3 of 4 • Presentation on how to customise business intelligencesolutions/designs.• Group discussion on the ways in which customisation has beenintegrated into individual designs.Week8LO3Workshop and in class Assignment supportActivities:• Opportunity for students to undertake research within a supervisedenvironment.Group discussionIndividual researchactivityAcademic WritingAssignment writingWeek9LO4Evaluating business intelligence toolsActivities:• Lecture evaluating the impact of business intelligence tools andtechniques.• Practical activity: Students to produce an evaluation as to whetherbusiness intelligence tools are effective for decision making purposes.Individual workDraft submission ofLO3 for formativefeedbackWeek10LO4Business intelligence and effective decision makingActivities:• Guest speaker: Invite a guest speaker from the college to talk about howbusiness intelligence tools can be used to support effective decisionmaking (e.g. student enrolment process, resource and timetabling etc.).• Practical activity: Students to produce an evaluation of the talk in termsof how these tools support functional departments in their decisionmaking process. Produce a set of recommendations which could bepresented to the class and representatives from the college thatbusiness intelligence applies to.LectureGroup discussionIndividual activityWeek11LO4Workshop and in class assignment supportActivities:• Opportunity for students to undertake research within a supervisedenvironment.• Practical activity: Students to research real-life examples of anorganisation meeting one or more of the evaluation criteria due to thedesign and use of business intelligence tools.• Presentation: Students to feedback their findings to the class and sharegood practice.LectureGroup discussionIndividual researchactivityWeek12LO1 – 4Workshop unit consolidation and feedbackInformal workshop to consolidate and finalise tasks that need completing forassignments.Provide Formativefeedback onassignmentWeek13Week 13 Presentation on coursework if it is necessaryStudents supportWeek14Week 14 Study week and student supportWeek15Student support * Note: This schedule is subject to changeRecommended ReadingTextbooksBoyer, J. (2010) Business Intelligence Strategy. MC Press (US).Jeston, J. and Nelis, J. (2014) Business Process Management. 3rd Ed. Routledge.Kolb, J. (2013) Business Intelligence in Plain Language: A practical guide to DataMining and Business Analytics. CreateSpace Independent Publishing Platform.Marr, B. (2015) Big Data: Using Smart Big Data, Analytics and Metrics to MakeBetter Decisions and Improve Performance. 1st Ed. John Wiley & Sons, Ltd.JournalsInternational Journal of Business Intelligence and Data MiningInternational Journal of Business Intelligence Research (IJBIR)Department of Information Technology Page 4 of 4Websites businessintelligence.com,Business-intelligence.ac.uk,Business Intelligence (General Reference)Business Intelligence Project for HE (General Reference) HN Global | BTEC Higher Nationals at https://www.highernationals.com/hn-globalAcademic Writing BooksBailey, S. (2011), Academic Writing – A Handbook for International Students, London, RoutledgeBurns, T. and Sinfield, S (2016), Essential Study Skills: The Complete Guide to Success at University, Los Angeles,SAGE,Swales, J. M and Feak, C, B. (2012), Academic Writing for Graduate Students, Ann Abor, University of Michigan