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HE Unit Template
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Business Intelligence & Data Warehousing
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ITECH7406 - Business Intelligence & Data Warehousing
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20250200
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Course
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Unit
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2.2
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2026-09-10
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2026-09-10
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Information Technology
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Institute of Innovation, Science & Sustainability
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Information Technology
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Postgraduate - Coursework
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15
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.125
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029999
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Information Technology, n.e.c.
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029999 - Information Technology, n.e.c.
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<a href="http://www.federation.edu.au/locate/unit/itech7406">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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9
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Masters Degree
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Advanced
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<p>This unit introduces you to business intelligence and data warehousing techniques used to analyse enterprise data sets. Topics you may be exploring include theories and principles of data warehousing, business intelligence basics, value of DW and BI, relationship between DW and BI, DW architecture, DW types, designs and characteristics, BI model development, BI tools and technologies, data modelling, metadata and source data, data conversion, migration and storage, data quality issues, data mining, data marts, and online analytical processing. You will be applying these skills and knowledge to be able to report on insights and predicted behaviours, supporting end user/client decision making.</p>
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<p>Business intelligence (BI) basics.<br>
Business performance management<br>
Value of DW and BI.<br>
Relationship between DW and BI.<br>
DW architecture.<br>
DW types, designs and characteristics.<br>
BI model development.<br>
BI tools and technologies.<br>
Data Modelling.<br>
Data conversion, migration and storage.<br>
Data quality issues.<br>
Online analytical processing (OLAP).<br>
Trends in BI area.</p>
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<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
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2027
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2026
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ITECH7406 - Business Intelligence & Data Warehousing
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ITECH7406 - Business Intelligence & Data Warehousing
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Semester
Semester 1
Semester 2
Summer Semester
Year
2027
2026
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Overview
Key information
Requisites
Learning outcomes
Assessment
Parent Region
Overview
Unit description
<p>This unit introduces you to business intelligence and data warehousing techniques used to analyse enterprise data sets. Topics you may be exploring include theories and principles of data warehousing, business intelligence basics, value of DW and BI, relationship between DW and BI, DW architecture, DW types, designs and characteristics, BI model development, BI tools and technologies, data modelling, metadata and source data, data conversion, migration and storage, data quality issues, data mining, data marts, and online analytical processing. You will be applying these skills and knowledge to be able to report on insights and predicted behaviours, supporting end user/client decision making.</p>
Unit content
<p>Business intelligence (BI) basics.<br> Business performance management<br> Value of DW and BI.<br> Relationship between DW and BI.<br> DW architecture.<br> DW types, designs and characteristics.<br> BI model development.<br> BI tools and technologies.<br> Data Modelling.<br> Data conversion, migration and storage.<br> Data quality issues.<br> Online analytical processing (OLAP).<br> Trends in BI area.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
029999 - Information Technology, n.e.c.
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech7406">View unit fees</a>
Requisites
Prerequisite
<p>must have completed 1 of "<a href="/ords/r/curriculum/catalogue/course?p6_code=ITECH5007" target="_blank">ITECH5007</a>" / "<a href="/ords/r/curriculum/catalogue/course?p6_code=ITECH5402" target="_blank">ITECH5402</a>"</p>
Corequisite
None
Exclusion
None
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Differentiate between the the various applications and scope of different technologies within a business intelligence system context.</p>
K2
<p>Critique the major approaches to the development of business intelligence and reporting systems.</p>
K3
<p>Compare and contrast the architecture and related processes of data warehousing and BI systems.</p>
K4
<p>Explain the potential benefit of data warehousing and business intelligence.</p>
K5
<p>Investigate and summarise the future trends of business intelligence and data warehousing.</p>
S1
<p>Apply business intelligence techniques using an industry standard approach to explore, extract and analyse enterprise data sets.</p>
S2
<p>Use complex multi-dimensional databases.</p>
S3
<p>Design and develop BI dashboard according to requirements on business performance management.</p>
A1
<p>Apply data analytics techniques to gain insights, predict behaviours and generate value from data.</p>
A2
<p>Communicate and foster realistic expectations of the role of technology and business intelligence systems in management and decision support.</p>
A3
<p>Adopt problem solving and decision making strategies to effectively report solutions with key stakeholders for a variety of issues relating to data warehousing and business intelligence solutions.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Investigate the practice, approaches and understanding of business intelligence as it is being applied in the real world to realise organisational objectives. Work in groups to solve a business intelligence problem, requiring selecting and analysing a data set, visualising the results, and designing and developing a BI dashboard for a range of stakeholders.</p>
<p>Assignment(s)</p>
<p>50%-70%</p>
K1, K2, K3, K4, K5, S1, S2, S3, A1, A2, A3
2
<p>Students will present their data analysis work to related stakeholders in a simulated workplace context. Students will also self-reflect their learning journey, achievements, and lessons learnt.</p>
<p>Presentation and Reflection</p>
<p>10%-30%</p>
A2, A3
3
<p>Review and practice of skills and knowledge.</p>
<p>Quiz/test</p>
<p>10%-20%</p>
K1, K2, K3, K4, K5, S1, A3
Supplementary assessment available:
Yes
Supplementary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
029999 - Information Technology, n.e.c.
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech7406">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: ITECH7406 - U2.2