MIS774 - Enterprise Data Management
| Year: | 2025 unit information |
|---|---|
| Enrolment modes: | First offering will be Trimester 1 2026 |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Cohort rule: | Nil |
| Prerequisite: | Nil |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Study commitment | Students will on average spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Scheduled learning activities - campus | 1 x 1.5 hour on-campus (live-streamed) lecture (recordings provided) and 1 x 1.5 hour on-campus seminar each week
|
| Scheduled learning activities - online | 1 x 1.5 hour recorded lecture provided and 1 x 1.5 hour online seminar (recordings provided) each week |
Content
Data Management is a critical practice that enhances the quality, relevance, and business value of enterprise data and analytical capabilities. Each analytical system has specific data requirements, and integrating diverse data sources is essential for generating comprehensive and accurate insights. In this unit, students will explore and apply novel data management technologies and methods in areas such as data modelling and design, data integration and interoperability, and data-centric digital transformation. Through case studies and practical exercises, students will gain hands-on experience applying their knowledge to real-world business scenarios. By the end of this unit, students will be equipped with sought-after data management skills for building impactful analytical solutions that deliver high-quality, data-driven insights for business users.
Hurdle requirement
Nil
Unit Fee Information
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