LCBB5014 Data Handling and Business Intelligence Assignment Brief 2026 | UOW

LCBB5014 Assignment Brief 

Submission Method

All written assessments, where practical and possible, must be submitted via Turnitin unless otherwise instructed by the Lecturer. (Please DO NOT put this assessment specification into Turnitin or it will match many similarities with other students’ submissions.)

Alternative submission method (if applicable):

Late submission of the assessment will result in a late penalty mark.
Penalties for late submission: Up to one week late, maximum mark of 40%. Over one week late, 0%. Only the Extenuating Circumstances Panel may approve a change to submission dates.

Academic Honesty / Referencing

Academic honesty is required. In the main body of your submission you must give credit to authors on whose research and ideas your work is based. Append to your submission a reference list that indicates the books, articles, etc. that you have used, cited or quoted in order to complete this assessment.

Module Learning Outcomes

(from module syllabus)

Upon the successful completion of this module, the student should be able to:

• demonstrate an understanding of business intelligence, business intelligence concepts and applications, and data mining;
• evaluate the current trends of business intelligence, data warehousing, and data mining;
• demonstrate a comprehensive knowledge and understanding of essential concepts and principles, by using predictive and analytic software.

TASK DESCRIPTION

Component 2 (50%): Report (2000 Words)

This assignment is designed to develop your skills in data analysis and interpretation using Microsoft Excel and SPSS. You will analyse a provided dataset containing information on food delivery orders, which includes variables such as delivery person details, delivery timing, weather conditions, road traffic density, and type of vehicle. Your task is to evaluate trends, identify patterns, and draw insights using data manipulation, visualization, and statistical techniques.

Objectives

1. Data Cleaning and Preparation: Use Excel to clean and prepare the data, identifying and addressing any missing or inconsistent entries.
2. Descriptive Statistics: Employ Excel and SPSS to calculate key descriptive statistics to summarize the data.
3. Trend Analysis: Use Excel to visualize trends and patterns in the dataset.
4. Statistical Analysis: Perform hypothesis testing and other relevant statistical analyses using SPSS.
5. Insights and Recommendations: Interpret the findings and provide insights or recommendations that may impact delivery performance or operational strategies.

Guidelines for Structure and Content:

1. Introduction (200 words):

• Introduce the purpose of the report and provide an overview of the dataset.
• State the objectives of your analysis, including the data cleaning, descriptive statistics, trend analysis, and statistical testing components.

2. Data Cleaning and Preparation (200 words):

• Excel Exercise: Describe your approach to cleaning the data in Excel.
  o Identify and address missing or NaN values, explaining how you handled them (e.g., imputation, removal).
  o Check for inconsistencies, such as irregular date and time formats, and standardize them.
• Document any modifications or transformations performed on the dataset to ensure accuracy in analysis.

3. Descriptive Statistics and Summary (400 words)

• Excel and SPSS Exercises: Generate and report key descriptive statistics.
  o Calculate averages, minimum, and maximum values for numerical fields, such as Delivery_person_Age and Delivery_person_Ratings.
  o Analyse distributions of categorical variables, like Weather, Road_traffic_density, Type_of_order, and Type_of_vehicle.
• Visualize these statistics using relevant charts or tables in Excel to summarize the delivery performance across different conditions.

4. Trend Analysis and Visualization (400-500 words):

• Excel Exercise: Use Excel to visualize key trends.
  o Create trend lines for delivery times and delivery ratings over time.
  o Analyse relationships between weather conditions, road traffic density, and delivery time. For example, does bad weather correlate with longer delivery times?
  o Generate charts, such as line graphs, bar charts, and scatter plots, to illustrate patterns and dependencies in the data.
• Include screenshots or embedded Excel charts to support your analysis.

5. Statistical Analysis using SPSS (400-500 words):

• SPSS Exercise: Perform statistical tests to explore relationships in the data.
  o Hypothesis Testing: Test if there is a statistically significant difference in Delivery_person_Ratings based on Weather conditions using an appropriate test (e.g., t-test).
  o Correlation Analysis: Examine correlations between variables, such as Delivery_person_Age and Delivery_person_Ratings, or Road_traffic_density and Delivery_location_distance (calculated based on coordinates).
  o Regression Analysis: Conduct a simple regression analysis to determine predictors of Delivery_person_Ratings or delivery time.

6. Insights and Recommendations (200-300 words):

• Summarize key insights gained from the analysis, discussing significant findings and observed patterns.
• Provide recommendations based on the analysis that could improve delivery efficiency, such as optimizing routes in different weather conditions or selecting vehicle types for specific road conditions.
• Reflect on any limitations of the data or analysis and suggest potential areas for future investigation.

Formatting and Submission Guidelines:

• Word Count: 2,000 words (excluding references and appendices).
• Referencing: Use Harvard Referencing Style for in-text citations and the reference list.
• Font and Spacing: Use 12-point Times New Roman or Arial font, 1.5 line-spaced.
• Structure: Use clear section headings as outlined above.
• Submission Format: Submit as a Word document.

Use of Generative AI in Assessment

(Lecturer to indicate Yes or Not against each element)

GUIDANCE FOR STUDENTS IN THE COMPLETION OF TASKS

NOTE: The guidance offered below is linked to the five generic assessment criteria overleaf.

1. Engagement with Literature Skills

Your work must be informed and supported by scholarly material that is relevant to and focused on the task(s) set. You should provide evidence that you have accessed an appropriate range of sources, which may be academic, governmental and industrial; these sources may include academic journal articles, textbooks, current news articles, organisational documents, and websites. You should consider the credibility of your sources; academic journals are normally highly credible sources while websites require careful consideration/selection and should be used sparingly. Any sources you use should be current and up-to-date, mostly published within the last five years or so, though seminal/important works in the field may be older. You must provide evidence of your research/won reading throughout your work, using a suitable referencing system, including in-text citations in the main body of your work and a reference list at the end of your work.

Guidance specific to this assessment: The report should contain a minimum of ten (10) academic references in support of your work from a variety of valid and reliable sources. A reference list should be provided using Harvard style of referencing. Effective handling of missing data and inconsistencies.

2. Knowledge and Understanding Skills

At level 5, you should be able to demonstrate: sound knowledge and critical understanding of the well-established concepts and principles of the subject area and the way in which those principles have developed; knowledge of the main methods of enquiry in the discipline. Knowledge relates to the facts, information and skills you have acquired through your learning. You demonstrate your understanding by interpreting the meaning of the facts and information (knowledge). This means that you need to select and include in your work the concepts, techniques, models, theories, etc. appropriate to the task(s) set. You should be able to explain the theories, concepts, etc. meaningfully to show your understanding. Your mark/grade will also depend upon the extent to which you demonstrate your knowledge and understanding.

Guidance specific to this assessment: You should demonstrate a solid understanding of key data analysis concepts and techniques, such as trend analysis, clustering, and profitability evaluation. Apply these concepts meaningfully to the datasets provided, using Excel for sales analysis and SPSS for statistical exploration. Clearly articulate how these methods contribute to your findings and recommendations, while also showing a critical understanding of the tools’ advantages and limitations. Comprehensive summary and visualization of key statistics.

3. Cognitive and Intellectual Skills

You should be able to critically analyse information, and propose solutions to problems arising from that analysis, including the critical evaluation of the appropriateness of different approaches to solving problems. Your work must contain evidence of logical, analytical thinking, evaluation and synthesis. For example, to examine and break information down into parts, make inferences, compile, compare and contrast information. This means not just describing what! But also justifying: Why? How? When? Who? Where? At what cost? At all times, you must provide justification/evidence for your arguments and judgements. Evidence that you have reflected upon the ideas of others within the subject area is crucial to you providing a reasoned and informed debate within your work. Furthermore, you should provide evidence that you are able to make sound judgements and convincing arguments using data and concepts, with an understanding of the limits of knowledge, and how this influences analyses and interpretations. Sound, valid conclusions are necessary and must be derived from the content of your work. Where relevant, alternative solutions and recommendations may be proposed.

Guidance specific to this assessment: To meet the cognitive and intellectual skills criteria for your report, you should demonstrate critical thinking and problem-solving abilities. For instance, when analysing sales data, justify your choice of trend analysis by explaining its relevance to understanding seasonal variations. Break down the data into components, such as sales volume and product categories, to make reasoned inferences about customer behaviour. Clear, well-structured trend analysis using Excel, with meaningful visuals.

4. Practical Skills

At level 5, you should be able to use/deploy a range of established techniques within the discipline, and apply underlying concepts and principles outside the context in which they were first studied, including, where appropriate, the application of those principles in an employment context. You should be able to demonstrate how the subject-related concepts and ideas relate to real world situations and/or a particular context. How do they work in practice? You will deploy models, methods, techniques, and/or theories, in that context, to assess current situations, perhaps to formulate plans or solutions to solve problems, or to create artefacts, some of which may be creative. This is likely to involve, for instance, the use of real world artefacts, examples and cases, the application of a model within an organisation and/or benchmarking one theory or organisation against others based on stated criteria. You should show awareness of the limitations of concepts and theories when applied in particular contexts.

Guidance specific to this assessment: You should effectively use and apply a range of established techniques in your analysis. For example, employ Excel functions for trend analysis and data visualisation to assess sales patterns in the e-commerce dataset, demonstrating how these techniques can solve real-world business problems. Similarly, apply SPSS for clustering analysis to identify patterns in student performance, showing how statistical models can inform educational strategies. Accurate and relevant statistical tests using SPSS, with well-interpreted results.

5. Transferable Skills for Life and Professional Practice

Your work must provide evidence of the qualities and transferable skills necessary for employment requiring the exercise of personal responsibility and decision-making. This includes demonstrating: professional development to advance existing skills and acquire new competences that will enable you to assume significant responsibility within organisations; that you can initiate and complete tasks and procedures, whether individually and/or collaboratively; that you can use appropriate media to effectively communicate information, arguments and analysis in a variety of forms to specialist and non-specialist audiences; fluency of expression; clarity and effectiveness in presentation and organisation. Work should be coherent and well-structured in presentation and organisation.

Guidance specific to this assessment: You should communicate the result of your findings in an organised and well-structured manner. Organized, professional presentation and logical flow of content.

Generic Assessment Criteria

Level 5

In accordance with the Framework for Higher Education Qualifications, at the end of Level 5 students will be expected to have developed sound knowledge and critical understanding of the well-established concepts and principles in their field of study, and of the way in which those principles have developed.
They will have learned to apply those concepts and principles more widely outside the context in which they were first studied, including, where appropriate, the application of those principles in an employment context. They will have knowledge of the main methods of enquiry in the subject area, and ability to evaluate critically different approaches to problem solving. They will possess an understanding of the limits of their knowledge, and how this influences their analyses and interpretations. They will be able to use a range of established techniques to initiate and undertake critical analysis of information, and to propose solutions to problems arising from that analysis. They will be able to effectively communicate information, arguments and analysis in a variety of forms to specialist and non-specialist audiences, and deploy key techniques of the discipline effectively. They will be able to undertake further training, develop existing skills and acquire new competences that will enable them to assume significant responsibility within organisations.

They will have the qualities and transferable skills necessary for employment requiring the exercise of personal responsibility and decision-making.

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