| University | Future Skills Auckland International Campus |
| Subject | MAMC01803: Analytics for Managers |
| Study Block 4 | 13th October to 19th December 2025 |
| Due date to be handed in | Week 3 Friday 11.59 PM |
| Submission | Upload a soft copy to Moodle |
| Word count guidance | 2000 Words |
| Weighting/Contribution | 30% to final grade |
| Course Coordinator/Lecturer | Dr Sharan Singh |
| Learning outcomes covered | 1 |
| Level | 8 |
| Credits | 15 |
cta_quesiton_1
Assessment Overview
This is the first of two assessments for this course. For this assessment, you will complete a report that critically analyses the framing of data problems in contemporary business contexts to address business issues.
Conditions of Assessment
This is an individual assessment that you will complete in your learner-managed time, however, your teacher will provide opportunities during class time for clarification and guidance. All work must be completely your own and all literature used must be referenced appropriately using APA 7th edition. In order to pass this course, you must achieve a cumulative grade of at least 50%, across assessments one and two.
Learning Outcome(s) Assessed
- Critically frame data problems in a variety of business contexts.
Reassessment/Resubmission/Extensions
Please see your course outline for guidelines around reassessment, resubmission, and extensions.
Instructions
For this assessment, you will write a report that demonstrates how data analysis has been framed to address business problems. The report will focus on the rationale for data-driven decision-making in a variety of business contexts of your choice for at least two types of contemporary business problems. You will need to critically justify the use of data for solving these business problems.
Information Sourcing
You should use peer-reviewed conference proceedings or journal articles to inform your selection and discussion.
Marking Schedule
| Criteria | 10-9 | 8-7 | 6-5 | 4-0 |
| Rationale for data-driven decision for managers | The report demonstrates the rationale for data-driven decision-making in depth and with insight into management contexts:
● Appropriate* and judicious use of peer-reviewed conference proceedings or journal articles to support insightful critical analysis and framing of: ● Data-Analytic thinking for managers ● Data-driven decision-making in a variety of business contexts. for at least two types of contemporary business problems. |
The report clearly demonstrates in good detail the rationale for data-driven decision-making in management contexts:
● Appropriate use of peer-reviewed conference proceedings or journal articles to support clear and detailed critical analysis and framing of: ● Data-Analytic thinking for managers ● Data-driven decision-making in a variety of business contexts. for at least two types of contemporary business problems.
|
The report demonstrates the rationale for data-driven decision-making in management contexts:
● Appropriate use of peer-reviewed conference proceedings or journal articles to support critical analysis and framing of: ● Data-Analytic thinking for managers ● Data-driven decision-making in a variety of business contexts. for at least two types of contemporary business problems.
|
The report does not demonstrate the rationale for data-driven decision-making in management contexts:
● Lack of support from conference proceedings or journal articles for critical analysis and framing of: ● Data-Analytic thinking for managers ● Data-driven decision-making in a variety of business contexts. for at least two types of contemporary business problems. ● Insufficient or lack of critical analysis and framing |
*All sources must be referenced using American Psychological Association (APA) 7th edition format.
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