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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Research Questions
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study

Chapter 2: Literature Review
2.1 Understanding Big Data Analytics
2.2 Importance of Big Data Analytics in Business Decision Making
2.3 Challenges in Implementing Big Data Analytics
2.4 Previous Studies on Big Data Analytics in Business Decision Making

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sample Population

Chapter 4: Discussion of Findings
4.1 Data Analysis Results
4.2 Interpretation of Findings
4.3 Implications of Findings on Business Decision Making

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusion
5.3 Recommendations for Future Research

Brief Overview:
Big data analytics has become an integral part of business decision-making processes in today’s digital age. With the exponential growth in data volume, velocity, and variety, organizations are increasingly turning to big data analytics to extract meaningful insights that can drive strategic business decisions. This final year project aims to explore the role of big data analytics in business decision-making and its impact on organizational performance.

The study will begin with an introduction to the background of the research, problem statement, research questions, and the objective of the study. The limitations and scope of the research will also be outlined to provide clarity on the focus of the study.

Chapter two will delve into the literature review, discussing the fundamentals of big data analytics, its importance in business decision-making, challenges in implementation, and previous studies conducted in this area.

Chapter three will outline the research methodology, including the research design, data collection methods, data analysis techniques, and the sample population.

Chapter four will present the discussion of findings, analyzing the results of data analysis, interpreting the findings, and discussing the implications on business decision-making.

Finally, chapter five will provide a conclusion and summary of the key findings, along with recommendations for future research in the field of big data analytics and business decision-making.

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