7116IBA Data Resource Management
The Complete Study & Assessment Guide · T2 20267116IBA Overview
- Griffith University Department of Management
- Trimester 2, 2026
- a postgraduate course
- 10 credit points
- Data-resource management course
7116IBA Data Resource Management treats enterprise data as a strategic resource through taxonomy, enterprise architecture, Zachman, data warehousing, quality, integration, metadata, analytics, cloud, valuation and organisational design. It is taught within Griffith University Department of Management. It is a postgraduate course.
- Assessment arc A 25% group presentation leads into a 35% annotated bibliography and 40% individual project.
- No exam The 2026 assessment table contains presentation and written work only.
- Architecture is not a diagram A useful architecture connects stakeholder questions, enterprise meaning, systems and governance responsibilities.
What you get in the full 7116IBA Study & Assessment Guide
- 8 chapters, 23 pages — every assessed topic
- 11 original practice questions, each with a model answer
- 8 worked examples, solved the way 7116IBA marks
- 17 computed figures, redrawn from the course’s own numbers
- Before-you-submit checklist for the Individual Project (40%) — what markers reward, what costs marks
Free on this page: assessment table, chapter map, one worked example, key terms, FAQ. The rest is in the full study & assessment guide.
How 7116IBA is assessed
| Component | Weight | Format |
|---|---|---|
| DRM Selected Topic Presentation | 25% | Group oral presentation during class, 3-21 August 2026 |
| Annotated Bibliography | 35% | Individual written assignment due 11 September 2026 at 5:00 pm |
| Individual Project | 40% | Individual written assignment due 9 October 2026 at 5:00 pm |
The current Online profile publishes a 25% group oral presentation, 35% individual annotated bibliography and 40% individual project. It publishes no exam row and no mandatory-pass component.
What other students are asking about 7116IBA
- Where can I find lecture notes or study guides for 7116IBA at Griffith?
- The 7116IBA study guide in AskSia Library covers Data Resource Management in 8 chapters, with the assessment table, a chapter-by-chapter topic map, key terms and a worked example, free to read on this page.
- Is there a final exam in 7116IBA?
- No final exam is listed in the offering this AskSia Library guide is built from; 7116IBA is assessed by DRM Selected Topic Presentation 25%, Annotated Bibliography 35%, Individual Project 40%.
- What does 7116IBA cover on drm history taxonomy and philosophy?
- In AskSia Library's 7116IBA guide, the DRM History Taxonomy and Philosophy chapter explains taxonomy · data philosophy · administrative view · distinguish historical and philosophical views that lead to different enterprise-data practices.
- What does 7116IBA cover on enterprise architecture and the zachman framework?
- In AskSia Library's 7116IBA guide, the Enterprise Architecture and the Zachman Framework chapter explains enterprise architecture · Zachman Framework · viewpoint · use Zachman cells to identify which enterprise description is missing from a data problem.
- What does 7116IBA cover on enterprise data modelling?
- In AskSia Library's 7116IBA guide, the Enterprise Data Modelling chapter explains conceptual model · entity · relationship · translate business language into entities, relationships and ownership without prematurely choosing storage tables.
Current 7116IBA dates
| Date | Item | Control |
|---|---|---|
| 3-21 August 2026 | Selected-topic presentations | 25% group oral presentations occur during class. |
| 11 September 2026 at 5:00 pm | Annotated Bibliography due | 35% individual written assignment. |
| 9 October 2026 at 5:00 pm | Individual Project due | 40% individual written assignment. |
Dates are as published in the current course materials. Confirm exact deadlines and submission settings in the live LMS.
What 7116IBA covers
The learning path moves from Data as a Strategic Enterprise Resource, through the problems opened by Data Warehouses Marts and Analytical Architecture, to the synthesis required in Data Valuation and the DRM Organisation.
Data as a Strategic Enterprise Resource
enterprise data · strategic resource · data domain · connect a defined decision to enterprise data meaning, ownership and expected organisational valueDefine enterprise data
The course material gives this chapter a concrete anchor: The opening module reframes data from administrative residue into a strategic enterprise resource.
- enterprise data
- strategic resource
- data domain
- Applying enterprise data
- Limits of strategic resource and data domain
DRM History Taxonomy and Philosophy
taxonomy · data philosophy · administrative view · distinguish historical and philosophical views that lead to different enterprise-data practicesDefine taxonomy
The course material gives this chapter a concrete anchor: Module 1 uses history and taxonomy to show how assumptions about data shape practice.
- taxonomy
- data philosophy
- administrative view
- Applying taxonomy
- Limits of data philosophy and administrative view
Enterprise Architecture and the Zachman Framework
enterprise architecture · Zachman Framework · viewpoint · use Zachman cells to identify which enterprise description is missing from a data problemDefine enterprise architecture
The course material gives this chapter a concrete anchor: Module 2 connects enterprise data architecture with Zachman's perspective-and-question schema.
- enterprise architecture
- Zachman Framework
- viewpoint
- Applying enterprise architecture
- Limits of Zachman Framework and viewpoint
Enterprise Data Modelling
conceptual model · entity · relationship · translate business language into entities, relationships and ownership without prematurely choosing storage tablesDefine conceptual model
The course material gives this chapter a concrete anchor: The current module and reading distinguish enterprise modelling from implementation detail.
- conceptual model
- entity
- relationship
- Applying conceptual model
- Limits of entity and relationship
Data Warehouses Marts and Analytical Architecture
data warehouse · data mart · dimensional model · choose an enterprise warehouse or focused mart from integration, governance and decision needsDefine data warehouse
The course material gives this chapter a concrete anchor: Module 3 treats warehousing as a joint architecture, technology and organisational problem.
- data warehouse
- data mart
- dimensional model
- Applying data warehouse
- Limits of data mart and dimensional model
Data Quality Integration and Metadata
data quality · data integration · metadata · define quality acceptance, semantic mapping and lineage for an integrated data productDefine data quality
The course material gives this chapter a concrete anchor: The official sequence names data quality, integration, document management systems and metadata as linked DRM concerns.
- data quality
- data integration
- metadata
- Applying data quality
- Limits of data integration and metadata
Analytics Big Data Cloud and Data Lakes
data analytics · data lake · cloud computing · compare analytical and cloud architecture options against workload, governance and lifecycle needsDefine data analytics
The course material gives this chapter a concrete anchor: The published course scope extends DRM into analytics, big data, cloud and data-lake choices.
- data analytics
- data lake
- cloud computing
- Applying data analytics
- Limits of data lake and cloud computing
Data Valuation and the DRM Organisation
data valuation · data stewardship · operating model · connect a data-value claim to stewardship, decision rights and measurable useDefine data valuation
The course material gives this chapter a concrete anchor: The final official topics ask how to assign value to data and establish the DRM organisation.
- data valuation
- data stewardship
- operating model
- Applying data valuation
- Limits of data stewardship and operating model
It carries 10 credit points.
It is positioned as Data-resource management course.
A group selected-topic presentation opens the assessment sequence before an individual annotated bibliography and a larger individual project apply data-resource-management ideas to research and organisational problems.
Assessment in 7116IBA is distributed as follows: 25% group oral presentation, 35% individual annotated bibliography, and 40% individual project
The operational assessment conditions matter here.
No final examination appears in the current course-profile assessment table.
The final assessed task is an individual project due 9 October 2026 at 5:00 pm.
What makes 7116IBA demanding is concrete: Moving from a technology list to an enterprise argument: students must connect data meaning, architecture, governance, quality and organisational responsibility to a defined business decision.
The current profile marks the tasks as score activities and publishes no mandatory-pass component or separate attendance pass rule.
Recheck the live profile for updates.
For enrolment planning, The current profile lists 7503MGT as an incompatibility; confirm current program eligibility in the enrolment system.
The learning path moves from Data as a Strategic Enterprise Resource, through the problems opened by Data Warehouses Marts and Analytical Architecture, to the synthesis required in Data Valuation and the DRM Organisation.
Coverage note: landed detailed teaching material is strongest for Modules 1-3; later official topic names control the broader chapters without manufacturing absent task rubrics.
Worked example · free
Choose the right enterprise description before proposing a platform
- 1Define the decisions and stakeholder perspectives the customer view must support.
- 1Map customer entities, identifiers and source-system ownership.
- 1Audit quality, consent, retention and lineage constraints.
- 1Compare warehouse, lake and federated options against the defined use.
- 1Assign governance ownership and a measurable adoption or decision signal.
Key terms
- Zachman Framework
- A schema for organising enterprise descriptions by stakeholder perspective and interrogative concern rather than a delivery method.
- Data warehouse
- An integrated analytical data store designed to support reporting and decision-making across time and source systems.
- Metadata
- Data that describe the meaning, structure, origin, ownership or operation of other data.
- Data resource management
- Coordinated governance, architecture and operational practice for treating enterprise data as a managed organisational resource.
- Data architecture
- The principles, models and structures that organise data domains, flows, storage and use across an enterprise.
- Enterprise model
- A structured representation of organisational concepts, activities, information and relationships for analysis or design.
- Data mart
- A focused analytical data store serving a defined subject area, function or user community.
- Data quality
- Fitness of data for use across dimensions such as accuracy, completeness, consistency, timeliness and validity.
- Data integration
- Combination of data from multiple sources while aligning identifiers, structures, meaning and quality controls.
- Data valuation
- A reasoned estimate of data's benefits, costs, risks and option value for a defined organisational use.
7116IBA FAQ
Which current 7116IBA dates are captured?
Selected-topic presentations: 3-21 August 2026; Annotated Bibliography due: 11 September 2026 at 5:00 pm; Individual Project due: 9 October 2026 at 5:00 pm. Confirm any change and the exact submission setting in the live LMS.
How is 7116IBA assessed?
25% group oral presentation, 35% individual annotated bibliography, and 40% individual project
Where do students usually lose marks in 7116IBA?
Moving from a technology list to an enterprise argument: students must connect data meaning, architecture, governance, quality and organisational responsibility to a defined business decision.
What is the 7116IBA final assessed-task format?
No final examination appears in the current course-profile assessment table. The final assessed task is an individual project due 9 October 2026 at 5:00 pm.
Does 7116IBA have a hurdle or component-level pass rule?
The current profile marks the tasks as score activities and publishes no mandatory-pass component or separate attendance pass rule. Recheck the live profile for updates.
What prerequisites or restrictions apply to 7116IBA?
The current profile lists 7503MGT as an incompatibility; confirm current program eligibility in the enrolment system.
Is this 7116IBA resource an official university guide?
No. It is an independent 7116IBA study resource; current institutional instructions remain authoritative for assessment operation.
Questions students ask in each 7116IBA chapter
- What is the main task in Data as a Strategic Enterprise Resource?
- Connect a defined decision to enterprise data meaning, ownership and expected organisational value. Chapter 01 · Data as a Strategic Enterprise Resource
- What is the main task in DRM History Taxonomy and Philosophy?
- Distinguish historical and philosophical views that lead to different enterprise-data practices. Chapter 02 · DRM History Taxonomy and Philosophy
- What is the main task in Enterprise Architecture and the Zachman Framework?
- Use zachman cells to identify which enterprise description is missing from a data problem. Chapter 03 · Enterprise Architecture and the Zachman Framework
- What is the main task in Enterprise Data Modelling?
- Translate business language into entities, relationships and ownership without prematurely choosing storage tables. Chapter 04 · Enterprise Data Modelling
- What is the main task in Data Warehouses Marts and Analytical Architecture?
- Choose an enterprise warehouse or focused mart from integration, governance and decision needs. Chapter 05 · Data Warehouses Marts and Analytical Architecture
- What is the main task in Data Quality Integration and Metadata?
- Define quality acceptance, semantic mapping and lineage for an integrated data product. Chapter 06 · Data Quality Integration and Metadata
- What is the main task in Analytics Big Data Cloud and Data Lakes?
- Compare analytical and cloud architecture options against workload, governance and lifecycle needs. Chapter 07 · Analytics Big Data Cloud and Data Lakes
- What is the main task in Data Valuation and the DRM Organisation?
- Connect a data-value claim to stewardship, decision rights and measurable use. Chapter 08 · Data Valuation and the DRM Organisation
How to prepare for the assessments
Retrieve the course map, practise the recurring method—define the enterprise decision and data meaning, map architecture and ownership, evaluate quality and integration, select fit-for-use technology and assign governance with measurable value—on changed scenarios, and verify every operational assessment detail in the live institutional system.
Your AI Information Technology tutor for 7116IBA
Stuck on a hard 7116IBA question? Sia is AskSia’s AI Information Technology tutor — ask any 7116IBA Data Resource Management question and get a clear, step-by-step explanation grounded in how the course is actually taught and assessed. Read this whole study guide free, then take your hardest questions to Sia.