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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Objectives of the Study
1.4 Research Questions
1.5 Significance of the Study
1.6 Scope of the Study
1.7 Limitations of the Study

Chapter 2: Literature Review
2.1 Introduction to Big Data Analytics
2.2 Big Data Analytics in Financial Decision Making
2.3 Theoretical Framework
2.4 Previous Studies on Big Data Analytics in Finance

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

Chapter 4: Discussion of Findings
4.1 Overview of Data Analysis
4.2 Findings from the Study
4.3 Implications for Financial Decision Making
4.4 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Recommendations for Practitioners
5.4 Recommendations for Policymakers
5.5 Contributions to Knowledge

Thesis Overview: The Impact of Big Data Analytics on Financial Decision Making

Big Data Analytics has emerged as a powerful tool for businesses to gain insights and make informed decisions. In the financial industry, the use of Big Data Analytics has become increasingly prevalent, with organizations leveraging large volumes of data to improve their decision-making processes.

This thesis aims to explore the impact of Big Data Analytics on financial decision making, focusing on how organizations in the financial sector are utilizing Big Data Analytics to enhance their decision-making processes. The study will involve a comprehensive literature review of existing research on the topic, as well as an analysis of primary data collected from financial firms.

The research methodology will involve a mixed-methods approach, combining qualitative interviews with quantitative surveys to gather a comprehensive understanding of the use of Big Data Analytics in financial decision making. The findings from the study will be discussed in detail, highlighting the implications for financial decision-making practices and providing recommendations for future research.

In conclusion, this thesis will contribute to the existing body of knowledge on the impact of Big Data Analytics on financial decision making, providing valuable insights for practitioners and policymakers in the financial industry.

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