Reference no: EM133852189 , Length: word count:2500
Business Intelligence
Case Study Analysis and Presentation
Assessment Details
For this assessment, students will form into groups of 3 or 4 students. A data-based case study which requires a systematic review of the literature will be assigned. Students will be required to undertake and critically analyse the assigned case study research and apply tools, technologies, and models related to the BI systems and technologies to offer recommendations in managerial decision-making. Ethical and social issues must be considered. Get expert online assignment help in the USA now!
Case scenario
GOAL:
In the dynamic landscape of global business, the ability to analyse and interpret data is essential for identifying growth opportunities. This assignment aims to enhance your analytical skills by utilizing real-world datasets. You will gain hands-on experience in data handling, analysis, and interpretation, preparing you for challenges in the international business environment.
OBJECTIVES:
To develop proficiency in handling and analysing global datasets.
To apply statistical and analytical techniques to derive meaningful insights.
To enhance teamwork and communication skills through collaborative analysis.
ASSESSMENT TASK
Your group will analyse two significant datasets to uncover opportunities for a multinational company seeking to expand into fast-growing countries. You will need to set up a FREE Kaggle account and download the following datasets.
World Population Data
Description: This dataset contains historical population data from the World Bank, spanning from 1960 to 2023, for various countries. It includes total population figures, regional classifications, and income group classifications, providing insights into demographic changes and economic development.
Key Features:
country_code: Unique identifier for each country.
country_name: Official name of the country.
region: The region to which the country belongs (e.g., Sub-Saharan Africa, East Asia and Pacific).
income_group: Income classification of the country (e.g., Low income, Upper middle income).
Years (1960-2023): Population figures for each year.
Global Urbanization and Climate Metrics
Source: World Bank
Description: This dataset includes key indicators related to global urbanization, energy consumption, and climate sustainability for over 200 countries from 1960 to 2023. It provides data on urban population, energy consumption, carbon emissions, and access to basic services.
Key Features:
total_pop: Total population of a country or region.
urban_pop_perc: Percentage of the total population living in urban areas.
gdp: Gross Domestic Product of the country.
energy_kg_oil_eq_cap: Energy consumption per capita.
co2_emiss_excl_lulucf: CO2 emissions from all sectors.
Student Brief
As a team, your task is to explore both datasets and identify novel ways to overlay the data to gain a comprehensive understanding of potential expansion opportunities for the multinational company. Consider the following steps:
Data Exploration: Familiarise yourselves with both datasets. Understand the key features and how they relate to each other.
Identify Fast-Growing Markets: Analyse the population growth trends and urbanization metrics to identify countries with rapid growth potential. Look for regions with increasing urban populations and favourable income classifications.
Overlay Analysis: Develop methods to overlay the datasets. For example, you could compare population growth rates with urbanization percentages to identify countries that are not only growing but also becoming more urbanized.
Sustainability Considerations: Examine the climate metrics to assess the sustainability of potential markets. Consider factors such as energy consumption, CO2 emissions, and access to basic services when evaluating opportunities.
Insights and Recommendations: Based on your analysis, provide insights and recommendations for the multinational company. Highlight specific countries or regions that present the best expansion opportunities, supported by data-driven evidence.
Presentation: Prepare a presentation summarising your findings, including visualizations that effectively communicate your insights.
This assignment will not only enhance your analytical skills but also prepare you for real-world challenges in identifying and capitalizing on business opportunities in a global context.
Cover Page - Use the provided cover page template to fill in the details such as the title of your assessment, your name, your student ID, the unit's name, and the unit code. There must be no graphics or pictures of any kind on the cover page. Before uploading the report, ensure that each member has filled in their details and signed the document.
Executive Summary - Provide 'No more than one page' of summary.
Table of Contents - Auto-generated using the word processor.
Introduction - This section should introduce the general aims, attributes of the datasets, and areas/issues you will discuss in the report.
Body - Discuss your findings/ visualisations in detail, where appropriate, headings and sub- headings should be included with the logical progression of your report from one idea to the next. Do not use the word 'Body' as a heading - identify words that relate to your report for the heading. The body of your report should include a deep analysis, and sections containing background and findings (tables and figures) from your analysis. You should attempt to use all tools covered in class, TABLEAU, EXCEL, and WEKA.
Conclusion - In this section, you need to summarise your work and findings. You should introduce no new points in your conclusion.
References - This is a list of all the books and articles you have cited in your assessment. Use APA referencing style for your in-text citations.