IAB353 Business Intelligence using Enterprise Systems

[object Object] {"attributes":{"DGNAA":"Available for Single Unit students (UG) - no approval required","DGCIA":"Available for cross institutional students - no approval required","ITBUNI":"Information Technology UG - Uni Wide Units","DGSAF":"Study Abroad / Exchange (UG) - faculty approval required"},"study-types":["Single-unit study","Cross-institutional study"],"availabilities":[{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 2","date-end":"2024-11-15T14:00Z","date-start":"2024-07-21T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 2","date-end":"2024-11-15T14:00Z","date-start":"2024-07-21T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 2","date-end":"2025-11-14T14:00Z","date-start":"2025-07-20T14:00Z","year":2025},{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 2","date-end":"2025-11-14T14:00Z","date-start":"2025-07-20T14:00Z","year":2025}],"broad-study-area":{"name":"Science","foe":29999},"code":"IAB353","credit-points":12,"fees":[{"csp":"$1,118","dom":"$4,104","int":"$4,788","year":2024},{"csp":"$1,164","dom":"$4,356","int":"$5,172","year":2025}],"faculty":{"code":460100,"title-short":"Science","title-full":"Faculty of Science"},"school-discipline":{"code":460800,"title-short":"Information Systems","title-full":"School of Information Systems"},"unit-requisites":{"pre":"(\nIFB104 or \nITD104 or \nEGB103) and (\nIFB105 or IFB130 or \nITD105) or \nIAB251"},"sams-version":1,"summer":[],"synopsis":"This unit provides knowledge and skills for supporting Business Intelligence(BI) using enterprise systems. BI is a technology-driven process for analysing data and delivering actionable outcomes as part of planning and decision-making tasks undertaken by executives, managers, and workers. It involves data science and machine learning techniques and tools applied to key aspects of businesses including products, services, customers and resources. You will be exposed to the planning, modelling, reporting, and prediction structures underpinning business intelligence. To support this, you will learn, Data preparation, analysis and modelling, predictions, and visualization. In addition, you will be exposed to advanced data analytics capabilities including, real-time analytics and Internet of Things (IoT) analytics. This will be applied through a comprehensive framework that supports data Ops, data security, and governance. The unit provides a rich exposure to real-world BI platforms.","title-full":"IAB353 Business Intelligence using Enterprise Systems","title-short":"Business Intelligence using Enterprise Systems","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=IAB353&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=IAB353","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=IAB353"},"year":2025,"years":[2024,2025]}