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Unit of study_
INFS6018: Managing with Information and Data
Business analytics and the ability to interpret and respond to related outputs, is a major source of competitive advantage in the information age and is therefore a leading business priority globally. In recent times, this field has evolved from a technology topic to a management priority, creating an unprecedented demand for new competencies in managing with data. Taking a business rather than technology perspective, this unit covers the enterprise ecosystem in the context of strategic and operational analytics and decision making. Topics include innovation through advanced analytics, data driven performance management, strategic business improvement and management of complex BI projects. The unit offers hands-on experience in using a commercial platform, combined with in-depth analytical skills, and enables students completing the unit to help any organization to derive more value from data and information and compete on analytics.
| Code | INFS6018 |
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| Academic unit | Business Information Systems |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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INFS5002 or COMP5206 or QBUS5001 |
| Prohibitions:
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None |
| Assumed knowledge:
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Understanding the major functions of a business and how those business functions interact Semester 1 internally and externally so the company can be competitive in a changing market. How information systems can be used and managed in a business. How to critically analyse a business and determine its options for transformation. Desirable Experience as a member of a project team |
At the completion of this unit, you should be able to:
- LO1. Apply the fundamental concepts and practice of managing through data challenges in differentiated organisational settings (e.g, large or small).
- LO2. Identify and analyse multi-disciplinary issues, challenges and solutions in managing through data/business analytics systems from the business rather than technical perspective.
- LO3. Critically examine the intra and inter organisational and societal issues involved in implementing various types of analytical systems.
- LO4. Design and implement a small-scale data analysis project in an organisational setting.
- LO5. Evaluate different analytical outputs and their ethical impacts.
- LO6. Apply advanced principles and techniques related to strategy, work practices and information governance to help organisations effectively operate, manage risks and maximise value from their data, information assets and technology investments.
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