Business Intelligence, Research Methods and Data Analysis

Module code: MN7051

In today’s data-driven world, successful business decision-making relies heavily on the ability to collect, analyse, and interpret information from a variety of sources. This module provides you with a comprehensive foundation in research design, data analysis, and business intelligence, all of which are essential for addressing complex business problems and opportunities in international and organisational contexts. The module is structured around three interconnected units: Business Intelligence, Data Analysis, and Research Methods and has been designed to progressively build your capacity to critically evaluate business issues, apply appropriate research methodologies, and generate data-driven insights. You will learn to develop research proposals/plan, identify and frame meaningful research questions, select suitable analytical tools, and address ethical and professional considerations in conducting and reporting research.

This module also equips you with the skills needed to distinguish between academic and applied industry research, while developing research proposals that are methodologically sound and practically relevant. By the end of the module, you will be able to conduct independent and rigorous research that informs strategic decision-making in international business contexts.

Unit 1: Business Intelligence

This unit introduces the concept of business intelligence as a strategic asset. It explores how organisations collect, store, and analyse data to gain actionable insights that enhance competitiveness and performance. You will examine the use of digital tools and analytics platforms to support evidence-based decisions across functions such as marketing, operations, finance, and customer relationship management.

Key themes include market intelligence, big data applications, performance monitoring, and customer behaviour analysis. You will critically assess how these insights inform business strategy and long-term planning. Real-world case studies will illustrate how organisations harness business intelligence to respond to dynamic global environments.

Unit 2: Research Methods

In this unit, you will be introduced to key research paradigms and the full research process within international business. The focus will be on designing a robust and ethical research proposal. You will explore the philosophical foundations of research, refine their ability to construct clear research objectives, and apply appropriate methodologies to investigate complex issues in the international business environment. You will gain familiarity with a wide range of research strategies: including case studies, surveys, interviews, and mixed-method approaches, and learn to justify their methodological choices. The unit also integrates discussion of ethical considerations, research integrity, and regulatory compliance, ensuring you are equipped to conduct responsible and credible research.

Unit 3: Data Analysis

Data is the lifeblood of smart, strategic decision-making in the global business environment. In this unit you will be empowered with the practical skills to work confidently with both qualitative and quantitative data which are essential tools for anyone aiming to make an impact in international business. You’ll learn how to find, evaluate and manage valuable data sources, organise and clean data, and use cutting-edge analytical tools to uncover the stories data can tell. From identifying market trends to making evidence-based recommendations, this course shows you how to turn raw numbers into powerful insights. You will build confidence in visualising, interpreting, and clearly communicating your findings to diverse audiences. Whether it's shaping your dissertation or influencing major international business decisions, you'll gain the critical thinking and analytical rigour needed to choose the right methods, ask the right questions, and deliver compelling, data-driven arguments. You will understand the power of data and how to harness it to lead.