University	Auckland Institute Of Studies (AIS)
Subject	BUAD801 Decision Support Tools and Techniques

BUAD801 Assignment 1

Course: BUAD801 Decision Support Tools and Techniques

Lecturer: Ms Lisa Lin

Stream: 247 & 248

Due: 4pm Friday 13^th March 2026 (soft copy submission through Moodle only)

POINTS to NOTE

There are 100 marks for this assignment, which is 25% of the final course grade.
The word limit for this assignment is 2,500 words (+/-10%), excluding references, figures, tables, and appendices.
Use Arial or Times New Roman font size 12 and 1.5 line spacing.
Ensure you follow academic citation and referencing requirements, as failure to do so may invoke penalties. Use APA (7^th). A reference list is required.
You are also required to reference the use of any tools/software/applications. This includes using artificial intelligence (AI) to paraphrase or proofread, which requires a statement where applicable.
Upon submission your assignment will be checked for copied materials as well as the use of AI (artificial intelligence), with penalties to be applied where appropriate and if not appropriately referenced.
You may submit your assignment as a draft submission (Moodle/Turnitin) to check the similarity prior to making your final submission.
Late submissions incur a 5% penalty (5 marks) for each 24-hour period up to 96 hours (after that time, your mark will be recorded as zero).
An extension may be granted if, within the prescribed timeframe, you submit an ‘Assignment Extension Application’ form with supporting documentation (e.g., a medical certificate) to the Programme Administration Unit.
As part of the pass requirements for this course, you are required to pass each learning outcome at least once in this course.

Learning Outcomes

As set out in your Course Outline, this assignment requires you to achieve:

LO2: Effectively correlates data to construct various graphs and select appropriate quantitative tools.

LO3: Demonstrates analytical skills for managerial decision-making by evaluating and interpreting business scenarios; and

LO4: Apply calculations using appropriate instruments to distinguish between using forecasting and regression tools.

Business Scenario

A New Zealand company is considering options for expansion. The management must decide between:

Further expansion within New Zealand; or
Establishing a new branch in another OECD country.

For this assignment, you are required to select one OECD country outside New Zealand (with the approval of your lecturer) and prepare a report that applies a quantitative analytical approach to support the company’s strategic decision. Your task is to provide evidence-based recommendations using real economic data and quantitative tools.

You will analyse the following economic indicators using quarterly data (2006 Q1 – 2025 Q3):

GDP – Gross Domestic Product per capita
BOP – Balance of Payments
UR – Unemployment Rates (Age: 15 years or over)
PROD – Productivity and Unit Labour Costs

Data is available from https://stats.oecd.org and is also provided via Moodle.

Apply quantitative analysis tools to complete the following tasks:

Assignment Tasks

1. Exploratory Data Analysis (20 marks)

In this task, you are required to conduct an exploratory analysis. This includes calculating and interpreting descriptive statistics for each indicator, and examining the relationships between GDP and each of the other three indicators

Start by calculating and interpreting key statistical measures for all four indicators to explore the trend, distribution shape, and stability of the data.
Construct relevant graphs to visually represent the relationship between GDP and each of the other three indicators.
Demonstrate how these economic relationships can inform the company’s understanding of business performance in the selected country.

2. Quantitative Relationship Analysis (20 marks)

This task involves a more analytical approach to the data. You will conduct a correlation analysis and a regression analysis involving all four economic indicators. In the regression analysis, GDP will be used as the dependent variable, and the remaining three indicators will serve as independent variables. Clearly explain the strength and nature of the relationships you find and highlight any statistically significant findings.

3a. GDP Forecasting (2025 Q4–2026 Q1) (20 marks)

Using the data for your selected country, apply appropriate forecasting models to generate forecasts for GDP, BOP, UR, and PROD for 2025 Q4–2026 Q1.

Present the forecasts clearly in tables and/or graphs.
Provide a detailed interpretation for GDP in the context of business decisionmaking, explaining what the results suggest about the country’s short-term economic outlook.
For the other three indicators (BOP, UR, PROD), provide a concise discussion of their potential implications.

3b. Forecasting vs Relationship Modelling (10 marks)

In this task, you are expected to distinguish between the forecasting technique applied in Task 3a and the relationship modelling approach used in Task 2.

Compare the two approaches in terms of purpose, methodology, and practical application, drawing explicitly on the results from your own calculations.
Critically evaluate the strengths and limitations of each approach in the context of business decision-making.
Support your arguments with at least two academic references (APA 7th edition).

4. Comparative Decision-Making (New Zealand vs Selected Country) (25 marks)

Compare the selected country’s economic indicators against those of New Zealand. Evaluate the feasibility of the expansion strategies by applying sound statistical reasoning. Your recommendation should be clearly articulated, using evidence from your analysis to support the proposed direction for business expansion.

5. Academic Writing and Referencing (5 marks)

Use appropriate academic writing conventions.

Struggling with BUAD801 Decision Support Tools and Techniques Assignment 1?

Hire NZ Native Experts 24/7.

Hire Expert

BUAD801 Assignment 1 Marking Rubric

Grading	D- (0% – 39%)	D (40% – 49%)	C (50% – 64%)	B (65% – 79%)	A (80% – 100%)
1 LO2	Graphs were applied but did not represent the correlation between the GDP and the remaining three variables, with poor/no interpretations. Statistical measures were calculated and poorly interpreted. The quantitative measures selected to examine the trend, shape of the distribution, and stability had errors and/or were poorly interpreted.	Incomplete graphs were applied to correlate the GDP with the three remaining variables, with incomplete interpretations. Statistical measures were calculated and incompletely interpreted. The quantitative measures selected to examine the trend, shape of the distribution, and stability were incompletely interpreted.	Appropriate graphs were used reasonably to correlate the GDP with the three remaining variables, with reasonable interpretations. Statistical measures were calculated and reasonably interpreted. The quantitative measures selected to examine the trend, shape of the distribution, and stability were reasonably interpreted.	Appropriate graphs were accurately used to correlate the GDP with the three remaining variables, with robust interpretation of the graphs. Statistical measures were calculated and correctly interpreted. The quantitative measures selected to examine the trend, shape of the distribution, and stability were correctly interpreted.	Appropriate graphs were presented to correlate the GDP with the three remaining variables with an in-depth interpretation of each graph. Statistical measures were calculated and comprehensively interpreted. The quantitative measures selected to examine the trend, shape of the distribution, and stability were comprehensively interpreted.
Marks out of 20
2 LO3 LO4	Inaccurate analysis was applied to examine the relationship, and the interpretation of the measures of the analysis output poorly stated the significance of the analysis.	An analysis and reasonable calculations were applied to examine the relationships, but these were not complete. Incomplete interpretations of the measures were used to identify the significance of the analysis.	A moderately adequate analysis and calculations were applied to examine relationships, and moderately correct interpretations of the measures were used to identify the significance of the analysis.	An adequate analysis and calculations were applied to examine relationships, and correct interpretations of the measures were used to identify the significance of the analysis.	A comprehensive analysis and calculations were applied to examine relationships, and indepth interpretations of the measures were used to identify the significance of the analysis.
Marks out of 20
3a LO3 LO4	Inaccurate methods to forecast for the period required, and interpretation of the output includes errors.	The required forecast methods and calculations for the period required were incomplete, and the interpretation of the output was incomplete.	The required forecast methods and calculations for the required period were applied, and the interpretation was reasonably stated and aligned to the output.	The required forecast methods and calculations for the required period were correctly applied, and the interpretation was correctly stated and aligned to the output.	The required forecast methods and calculations for the required period were intelligently applied, and the interpretation was comprehensively stated and aligned to the output.
Marks out of 20
3b LO4	Main differences between the forecasting method identified in Requirement 3a and the analysis used in Requirement 2 were not discussed and/or not justified using the calculations performed. Identified differences were not justified with recognised references.	Main differences between the forecasting method identified in Requirement 3a and the analysis used in Requirement 2 were incompletely discussed and/or justified using the calculations performed. Identified differences were incompletely justified with a few recognised references.	Main differences between the forecasting method identified in Requirement 3a and the analysis used in Requirement 2 were fairly discussed and justified using the calculations performed. Identified differences were fairly justified with some recognised references.	Main differences between the forecasting method identified in Requirement 3a and the analysis used in Requirement 2 were discussed and justified using the calculations performed. Identified differences were justified with some recognised references.	The differences between the forecasting method identified in Requirement 3a and the analysis used in Requirement 2 were discussed with full details and justified using the calculations performed. Identified differences were justified with a large list of recognised references.
Marks out of 10
4 LO2 LO3	An evaluation of the two business alternatives was conducted without/poorly considering the statistical analysis in the comparison. The recommendations made on the alternatives were not based on the analysis performed for the selected country. The language used in writing recommendations to the decision-maker was not proper statistical language.	An evaluation of the two business alternatives was incompletely conducted. All four variables were considered, and the selection was feasible based on the data showing some insights with various statistical analytical tools considered. Recommendations on the alternatives were made partially based on the application of analytical skills performed for the selected country and the results of New Zealand statistical analysis. Effective statistical language was reasonably used in giving recommendations to decisionmakers.	A moderate evaluation of the two business alternatives were conducted. All four variables were considered, and the selection was feasible based on the data showing exceptional insights with various statistical tools considered. A reasonable recommendation on the alternative was made based on the application of analytical skills performed for the selected country and the results of New Zealand statistical analysis. Effective statistical language was effectively used in giving recommendations to decisionmakers.	A good evaluation of the two business alternatives were conducted. All four variables were considered, and the selection was feasible based on the data showing exceptional insights with various statistical tools considered. A detailed recommendation on the alternative was made based on the application of analytical skills performed for the selected country and the results of New Zealand statistical analysis. Effective statistical language was effectively used in giving recommendations to decisionmakers.	A comprehensive evaluation of the two business alternatives were conducted. All four variables were considered, and the selection was feasible based on the data showing exceptional insights with various statistical tools considered. A detailed and in-depth recommendation on the alternative was made based on the application of analytical skills performed for the selected country and the results of New Zealand statistical analysis. Effective statistical language was diligently used in giving recommendations to decisionmakers.
Marks out of 25
5	Academic writing conventions are poorly followed including formatting, grammar, spelling, and APA 7 referencing. Relevant academic sources were poorly used, including some/no in-text citations and a list of references.	Academic writing conventions are followed inconsistently including formatting, grammar, spelling, and APA 7 referencing. Relevant academic sources were inadequately used including some in-text citations and a list of references.	Academic writing conventions are followed including formatting, grammar, spelling, and APA 7 referencing. Relevant academic sources were moderately used including in-text citations and a list of references.	Academic writing conventions are followed clearly and consistently including formatting, grammar, spelling, and APA 7 referencing. Relevant academic sources were adequately used including in-text citations and a list of references.	Academic writing conventions are followed meticulously including formatting, grammar, spelling, and APA 7 referencing. Relevant academic sources were extensively used including in-text citations and a list of references.
Marks out of 5

Order Your BUAD801 Decision Support Tools and Techniques Assignment 1 Answer With AIS Requirement

Pay to NZ Native Writers | Cheap Cost & Plag Free

Order Now

Get Help By Expert

Many AIS students find the BUAD801 Decision Support Tools and Techniques assignment challenging because it requires applying statistical analysis, regression modelling, forecasting techniques, and interpreting economic data for business decision-making. But there is no need to worry, as NZ Assignment Help provides reliable auckland assignment help aligned with AIS academic requirements. You can also explore our business assignment samples for reassurance. Hire today AIS assignment helper and receive a 100% custom, human-written BUAD801 assignment solution, prepared specifically for your coursework.

Answer

BUAD801 Decision Support Tools and Techniques Assignment 1, 2026 | AIS

Recent Solved Questions