Rationale and Description
The primary focus of this unit has been to address a question and its problem space with data analytics. An important dimension of this focus is found in creating insight from the analytics that is meaningful to key stakeholders.
This assessment builds on what you have learnt in assessment 1 (data analytics notebook) by taking the data analytics and visualisation/s and creating an insight report with an extended critical analysis focusing on either (a) context (Stream A) or (b) techniques (Stream B). If you choose Stream A, your report will be in the form of a PDF document. If you select Stream B, your report will be in the form of a Jupyter notebook. Both reports will focus on insights relevant to stakeholders and a critical analysis of the data analytics addressing a specific question.
Learning Outcomes
A successful completion of this task will demonstrate:
1. An understanding of the complete process of data analytics to address a question and its problem space
2. An understanding of what constitutes critical analysis from either a context OR technical perspective
3. An ability to synthesise data analytics and accompanying critique into a meaningful report that provides insight to relevant stakeholders.
Essential Elements
To be successful in this task, you will need to complete a report (either PDF for stream A, or notebook for stream B) which includes:
1. A summary or abstract of the report
2. A description of the key question and problem space
3. A general description of the data analytics process used and how it links to the question/problem space
4. Detailed analysis which includes material drawn from weeks 7 onwards. For stream B, this is new analysis with an advanced technique not included in modules 1 or 2 of this unit, with at least 1 technique from modules 3 or 4. For stream A, this can build on your work in assignment 1, but which must also discuss (not implement) the use of at least 1 technique from modules 3 or 4. Note that it is not necessary to address a new question, however you may if you wish (in consultation with the lecturers). For stream A, addressing a new question will require a new notebook (similar to the questions in Part A).
5. A detailed description of the critical analysis. For stream A this will be a section in your document. For stream B, this will be detailed markdown throughout your notebook.
6. Detail of insight into the original question/problem space.
7. A presentation of your work to your peers
Marking Criteria
Detailed marking criteria is included in the criteria sheet attached.
Feedback
Feedback will be provided on specific questions related to the assessment during the drop-in session times, and via Slack. Please note, that the teaching team will NOT respond to general “is this good enough” style questions or requests to pre-assess your work.
Detailed Instructions
For this assessment, you will select 1 of 2 possible streams of critical analysis. Both streams will deliver insight into a particular problem space addressing a selected question, but will do so through critical analysis from different perspectives. Stream A deals with analysis of context and will require minimal or no additional coding development beyond what was required for a single satisfactory assignment 2 question, but will reference module 3 and 4 content within the critical analysis. Stream B deals with analysis of the technical domain and will require additional programming work that extends a single satisfactory assignment 2 question with more advanced analytics critique of context/technical analysis including at least 1 technique drawn from modules 3 or 4.
Stream A – Context
The following steps need to be completed for this assessment
1. Choose one question from assessment 1. You should select the question that achieved the best data analysis.
2. Using your data analytics (Jupyter) notebook from assessment 1, take account of the feedback provided in the criteria sheet, and select 1 of the 2 questions as the basis of your critical analysis. If you have not satisfactorily completed Part B, you may need to complete at least 1 question to use for this assignment. If you choose to tackle a completely new question
(in consultation with a lecturer), then you will need to undertake a complete QDAVI analysis (like Assignment 1 Part B) in order to complete this assignment. Include with your insight report, an exported PDF of the notebook for your chosen question.
3. Create a separate insight report document (to be exported as PDF) based on your analysis, that provides a detailed critical analysis of the contexts), including (a) the most likely context of the problem space, and significant contexts in which insights might be applied (noting that application contexts could be different than the original problem context) You should account for: Ethical considerations, principles of best practice in data analytics, and potential consequences for people in different social contexts including those with at-risk population groups. You should also reference material from modules 3 and 4, as relevant to your chosen context.
4. Ensure that you take account of the criteria in the Assessment Criteria Sheet when finalising your document.
5. Ensure the language and formatting of your final insight report is appropriate for relevant stakeholders.
6. Submit your final PDF insight report including the exported data analytics notebook named with your name and student number via blackboard before the due date.
Stream B – Technical
The following steps need to be completed for this assessment
1. Choose a question from assessment 1 or create a new question of your own choice. If the former, you should select the question that achieved the best data analysis, and you may need to address problems raised in the assessment feedback. If you choose to address a new question, you will need to perform a new analysis that goes beyond assignment 1 requirements.
2. Create a data analytics (Jupyter) notebook that extends the analysis of your selected question with additional technical analysis, and critique of that analysis. You must include a minimum of 1 additional advanced technique that was not covered in the first 2 modules of this unit. At least 1 technique should be drawn from modules 3 or 4.
3. Enhance your notebook with markdown cells that meet the Essential elements (above), and that provides detailed critical analysis of the technique that you applied on the selected question. Also ensure that you include a risk assessment analysis of the critique of context/technical analysis used.
4. Ensure that you take account of the criteria in the Assessment Criteria Sheet when finalising your notebook.
5. Ensure the language and formatting of your final insight report is appropriate for relevant stakeholders.
6. Submit your final data analytics notebook (with any necessary accompanying data) as a zip file named with your name and student number via blackboard before the due date.
Mandatory Presentation
The use of Data Analytics for strategic decision making in organisations will frequently involve oral presentation of the work to others within the organisation. This may be to other colleagues or it could involve presenting to management or key stakeholders.
For this reason, this assessment includes a mandatory presentation component in week 13. The presentation will not be ‘marked’. However, failure to present will result in a cap of ‘4’ on your grade for the assessment. That is, to achieve higher than a ‘4’, you must present your work to your peers.
Presentations are to be no longer than 3 minutes, and slides are option. If you choose to use slides, you should have no more than 3 slides. Your presentation can be (a) in person in your (week 13) tutorial class, or (b) via pre-recorded video submitted to your tutor prior to your week 13 tutorial session. If for some reason you cannot be present at your tutorial, you must record a video of your presentation and submit to your tutor.
Resources
The following resources may assist with the completion of this task:
• Refer to the module 3 and 4 materials, and studio session discussions on Slack.
• Module 1 and 2 resources will provide background information.
Questions
Questions related to the assessment should be directed to the teaching team during the studio sessions, tutorials or drop-in sessions, and also via slack.
IMPORTANT: The teaching team will not be available to answer questions outside business hours, nor in the hours immediately before the assessment is due.
IFN619 Criteria Sheet – Assessment 2 – Insight Report
Criteria 7 6 5 4 3 2
[1] Evidence of understanding and addressing stakeholders’ needs for insight. Provides exemplary insight that is highly relevant and clear for stakeholders’ decision making. Provides insight that is relevant and clear for stakeholders’ decision making. Provides insight that is appropriate and generally clear for stakeholders’ decision making. There is a lack of insight and/or it is not clearly presented for stakeholders’ decision making.
[2] Demonstration of appropriate critique of context/technical analysis for reporting to stakeholders’. Develops a clear and consistent critical narrative that is highly engaging for stakeholders, and valuable for decision-making. Develops a clear and consistent critical narrative that is useful for stakeholder decision making. Develops a critical narrative that is generally clear and consistent and
sufficient for stakeholders. The critical narrative is lacking in clarity and/or consistency and/or is not appropriate for stakeholders.
.
[3 (Stream A)] Evidence of depth in understanding contextual factors. Demonstrates a high level of understanding of both the problem and application contexts. Demonstrates a satisfactory level of understanding of both the problem and application contexts. There is minimal evidence of understanding problem and/or application contexts.
[3 (Stream B)] Evidence of depth in technical application. Demonstrates a high level of understanding of advanced techniques and potential risks in application. Demonstrates a satisfactory level of understanding of advanced techniques and potential risks in application. There is minimal evidence of understanding of advanced techniques and/or potential risks in their application.
[4] Evidence of a meaningful connection between data analytics and a question and its problem space. Mostly establishes a meaningful connection between data analytics and a question and its problem space with generally appropriate insights. There is a lack of a meaningful connection between the data analytics and a question and its problem space and/or limited insight. There is little or no evidence of a meaningful connection between the data analytics and a question and its problem space.
[5] Demonstration of effective English expression. English expression is satisfactory for the tasks. English expression is insufficient for the tasks.
[6] Presentation of work to peers Work presented to peers – assignment grade not capped. Work NOT presented. Final result capped at a maximum of 4.
