Evaluating Big Data's Role in Qatar Banking: Benefits and Challenges
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Thesis and Dissertation
AI Summary
This thesis investigates the effect of big data on the banking sector in Qatar, focusing on its benefits, challenges, and impact on customer satisfaction. The study uses primary data collected through surveys and interviews with banking professionals to validate hypotheses regarding the positive impact of big data on banking operations and the challenges faced during implementation. The research evaluates benefits such as improved decision-making, fraud detection, and risk management, while also addressing the root causes of customer dissatisfaction and the limitations of legacy systems. The findings indicate that big data tools and techniques can assist in targeted marketing and better decision-making, ultimately enhancing banking sector performance. The thesis concludes with recommendations for further research and addresses limitations encountered during the study. Desklib provides access to this and other solved assignments for students.
Running head: EFFECT OF BIG DATA IN BANKING SECTOR
Effect of Big Data in Banking Sector
Name of the Student:
Name of the University:
Effect of Big Data in Banking Sector
Name of the Student:
Name of the University:
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1EFFECT OF BIG DATA IN BANKING SECTOR
Abstract
The revolution is in the form of the big data analytics which enforced in the spheres of the
banking industry which can facilitate various banking related operations. It saves the project cost
as well as time for the banking institution which help to develop an understanding of the banks
with the customers, detection of the frauds and risk management. In Qatar, growth of the
investment into the banking sector has facilitated to develop the financial sector and there is an
increase in the total number of business firm transactions. There is growth into the banking data
in various forms which are developed to adopt the big data analytics. The objectives of this
research study are evaluate benefits of big data, determine root cause of drop in customer
satisfaction and determine the challenges related to big data in banking sector. In this study, there
are two hypothesis based on which the collected data are validated such as there is positive
impact of using big data in the banking sector with respect to the benefits and there is positive
impact of using big data in the banking sector with respect to the challenges faced in big data
implementation. The current study is based to understand effect of the big data analytics to make
in the banking sector of Qatar. In order to collect the data related to the research study, primary
data collection method is used-survey using questionnaire and interview is performed where the
data are collected from 100 respondents of various banks and interview is taken from random
respondents based on the questions related to selected topic. It was found that the big data tools
as well as techniques can assist to target the market which helps towards better decision-making
into the banking sector.
Keywords: Big data, banking, decision making, challenges, customer satisfaction.
Abstract
The revolution is in the form of the big data analytics which enforced in the spheres of the
banking industry which can facilitate various banking related operations. It saves the project cost
as well as time for the banking institution which help to develop an understanding of the banks
with the customers, detection of the frauds and risk management. In Qatar, growth of the
investment into the banking sector has facilitated to develop the financial sector and there is an
increase in the total number of business firm transactions. There is growth into the banking data
in various forms which are developed to adopt the big data analytics. The objectives of this
research study are evaluate benefits of big data, determine root cause of drop in customer
satisfaction and determine the challenges related to big data in banking sector. In this study, there
are two hypothesis based on which the collected data are validated such as there is positive
impact of using big data in the banking sector with respect to the benefits and there is positive
impact of using big data in the banking sector with respect to the challenges faced in big data
implementation. The current study is based to understand effect of the big data analytics to make
in the banking sector of Qatar. In order to collect the data related to the research study, primary
data collection method is used-survey using questionnaire and interview is performed where the
data are collected from 100 respondents of various banks and interview is taken from random
respondents based on the questions related to selected topic. It was found that the big data tools
as well as techniques can assist to target the market which helps towards better decision-making
into the banking sector.
Keywords: Big data, banking, decision making, challenges, customer satisfaction.
2EFFECT OF BIG DATA IN BANKING SECTOR
Acknowledgement
The research is conducted to enrich the experience of my life. The research enhances my
knowledge and skills on the selected research topic. With gaining of the knowledge, it gives me
opportunity to face some challenges and overcome them. Without the guidance of my professors,
friends and family, I would not able to complete the study. They all contribute me to enhance my
knowledge on the research topic. I would also like to thank my supervisor -------------- for
providing me constant support and guidance during the entire research process. Without all their
help, I am not able to collect primary data and valuable resources. Finally, I would also like to
thank the professionals from the Banking Industry who help me to participate in the survey. It
also provides us valuable results for the project work. All their support inspires and enlightens
me to go through the research process.
Heartfelt thanks and warmest wishes,
Yours Sincerely,
Acknowledgement
The research is conducted to enrich the experience of my life. The research enhances my
knowledge and skills on the selected research topic. With gaining of the knowledge, it gives me
opportunity to face some challenges and overcome them. Without the guidance of my professors,
friends and family, I would not able to complete the study. They all contribute me to enhance my
knowledge on the research topic. I would also like to thank my supervisor -------------- for
providing me constant support and guidance during the entire research process. Without all their
help, I am not able to collect primary data and valuable resources. Finally, I would also like to
thank the professionals from the Banking Industry who help me to participate in the survey. It
also provides us valuable results for the project work. All their support inspires and enlightens
me to go through the research process.
Heartfelt thanks and warmest wishes,
Yours Sincerely,
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3EFFECT OF BIG DATA IN BANKING SECTOR
Table of Contents
Chapter 1: Introduction....................................................................................................................8
1.1 Background of the study........................................................................................................8
1.2 Aim of the study....................................................................................................................9
1.3 Objectives of the study..........................................................................................................9
1.4 Research question..................................................................................................................9
1.5 Research hypothesis...............................................................................................................9
1.6 Problem statement...............................................................................................................10
1.7 Rationale of the study..........................................................................................................10
1.8 Structure of the study...........................................................................................................10
1.9 Chapter summary.................................................................................................................12
Chapter 2: Literature Review.........................................................................................................13
2.1 Introduction..........................................................................................................................13
2.2 Big Data Concept and its Use..............................................................................................14
2.3 Impact of Big Data in Banking Sector.................................................................................17
2.3.1 Fraud Detection............................................................................................................17
2.3.2 Marketing......................................................................................................................19
2.3.3 Credit Risk Management..............................................................................................20
2.4 Advantages of Big Data in Banking Sector.........................................................................21
2.5 Root cause of customer dissatisfaction and Use of Big Data..............................................23
Table of Contents
Chapter 1: Introduction....................................................................................................................8
1.1 Background of the study........................................................................................................8
1.2 Aim of the study....................................................................................................................9
1.3 Objectives of the study..........................................................................................................9
1.4 Research question..................................................................................................................9
1.5 Research hypothesis...............................................................................................................9
1.6 Problem statement...............................................................................................................10
1.7 Rationale of the study..........................................................................................................10
1.8 Structure of the study...........................................................................................................10
1.9 Chapter summary.................................................................................................................12
Chapter 2: Literature Review.........................................................................................................13
2.1 Introduction..........................................................................................................................13
2.2 Big Data Concept and its Use..............................................................................................14
2.3 Impact of Big Data in Banking Sector.................................................................................17
2.3.1 Fraud Detection............................................................................................................17
2.3.2 Marketing......................................................................................................................19
2.3.3 Credit Risk Management..............................................................................................20
2.4 Advantages of Big Data in Banking Sector.........................................................................21
2.5 Root cause of customer dissatisfaction and Use of Big Data..............................................23
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4EFFECT OF BIG DATA IN BANKING SECTOR
2.6 Pitfalls of Big Data in Banking Sector................................................................................27
2.7 Summary..............................................................................................................................29
Chapter 3: Research Methodology................................................................................................30
3.1 Introduction..........................................................................................................................30
3.2 Research philosophy............................................................................................................30
3.2.1 Justification to select research philosophy...................................................................30
3.3 Research approach...............................................................................................................31
3.3.1 Justification to select research approach.......................................................................31
3.4 Research design...................................................................................................................31
3.4.1 Justification to select research design...........................................................................32
3.5 Data collection and analysis................................................................................................32
3.5.1 Data collection methods...............................................................................................32
3.5.2 Data analysis methods..................................................................................................33
3.6 Population and sample.........................................................................................................34
3.7 Ethical considerations..........................................................................................................34
3.8 Research limitations.............................................................................................................34
3.9 Research Timeline...............................................................................................................35
3.10 Summary............................................................................................................................36
Chapter 4: Data Analysis and Findings.........................................................................................37
4.1 Introduction..........................................................................................................................37
2.6 Pitfalls of Big Data in Banking Sector................................................................................27
2.7 Summary..............................................................................................................................29
Chapter 3: Research Methodology................................................................................................30
3.1 Introduction..........................................................................................................................30
3.2 Research philosophy............................................................................................................30
3.2.1 Justification to select research philosophy...................................................................30
3.3 Research approach...............................................................................................................31
3.3.1 Justification to select research approach.......................................................................31
3.4 Research design...................................................................................................................31
3.4.1 Justification to select research design...........................................................................32
3.5 Data collection and analysis................................................................................................32
3.5.1 Data collection methods...............................................................................................32
3.5.2 Data analysis methods..................................................................................................33
3.6 Population and sample.........................................................................................................34
3.7 Ethical considerations..........................................................................................................34
3.8 Research limitations.............................................................................................................34
3.9 Research Timeline...............................................................................................................35
3.10 Summary............................................................................................................................36
Chapter 4: Data Analysis and Findings.........................................................................................37
4.1 Introduction..........................................................................................................................37
5EFFECT OF BIG DATA IN BANKING SECTOR
4.2 Quantitative data analysis- Survey......................................................................................37
4.3 Regression analysis..............................................................................................................58
4.4 Qualitative data analysis- Interview....................................................................................61
4.5 Summary..............................................................................................................................67
Chapter 5: Conclusion...................................................................................................................68
5.1 Conclusion...........................................................................................................................68
5.2 Linking with the objectives.................................................................................................68
5.3 Recommendations................................................................................................................70
5.4 Limitation of the study.........................................................................................................71
5.5 Further scope of the study....................................................................................................71
5.6 Summary..............................................................................................................................72
References......................................................................................................................................73
Appendix........................................................................................................................................79
Survey Questionnaire.................................................................................................................79
4.2 Quantitative data analysis- Survey......................................................................................37
4.3 Regression analysis..............................................................................................................58
4.4 Qualitative data analysis- Interview....................................................................................61
4.5 Summary..............................................................................................................................67
Chapter 5: Conclusion...................................................................................................................68
5.1 Conclusion...........................................................................................................................68
5.2 Linking with the objectives.................................................................................................68
5.3 Recommendations................................................................................................................70
5.4 Limitation of the study.........................................................................................................71
5.5 Further scope of the study....................................................................................................71
5.6 Summary..............................................................................................................................72
References......................................................................................................................................73
Appendix........................................................................................................................................79
Survey Questionnaire.................................................................................................................79
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6EFFECT OF BIG DATA IN BANKING SECTOR
Table of Figures
Figure 2.1: Fraud Schemes in Banking Sector..............................................................................18
Figure 4.1: Gender.........................................................................................................................38
Figure 4.2: Age group of respondents...........................................................................................39
Figure 4.3: Experience...................................................................................................................40
Figure 4.4: Percentage of use big data analytics for banking operations......................................41
Figure 4.5: Big data and innovation in data driven.......................................................................42
Figure 4.6: Percentage of improve the customer insights..............................................................44
Figure 4.7: Barrier to adoption of big data in the organization.....................................................45
Figure 4.8: Real time insights for the business is quality of big data............................................47
Figure 4.9: Compliance and regulations- main business challenges for the industry over next 5
years...............................................................................................................................................48
Figure 4.10: Limitations of legacy system- IT challenge for the industry over next 3 years........50
Figure 4.11: Big data challenges affect the level of customer satisfaction...................................51
Figure 4.12: Big data analytics provide personalized banking solutions to the customers...........52
Figure 4.13: Performance analytics by means of big data help in budgeting and innovation in
banking sector................................................................................................................................54
Figure 4.14: Privacy is the main concern for the customers..........................................................55
Figure 4.15: Organization has in-house data experts in big data to develop and deploy the big
data solutions.................................................................................................................................57
Table of Figures
Figure 2.1: Fraud Schemes in Banking Sector..............................................................................18
Figure 4.1: Gender.........................................................................................................................38
Figure 4.2: Age group of respondents...........................................................................................39
Figure 4.3: Experience...................................................................................................................40
Figure 4.4: Percentage of use big data analytics for banking operations......................................41
Figure 4.5: Big data and innovation in data driven.......................................................................42
Figure 4.6: Percentage of improve the customer insights..............................................................44
Figure 4.7: Barrier to adoption of big data in the organization.....................................................45
Figure 4.8: Real time insights for the business is quality of big data............................................47
Figure 4.9: Compliance and regulations- main business challenges for the industry over next 5
years...............................................................................................................................................48
Figure 4.10: Limitations of legacy system- IT challenge for the industry over next 3 years........50
Figure 4.11: Big data challenges affect the level of customer satisfaction...................................51
Figure 4.12: Big data analytics provide personalized banking solutions to the customers...........52
Figure 4.13: Performance analytics by means of big data help in budgeting and innovation in
banking sector................................................................................................................................54
Figure 4.14: Privacy is the main concern for the customers..........................................................55
Figure 4.15: Organization has in-house data experts in big data to develop and deploy the big
data solutions.................................................................................................................................57
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7EFFECT OF BIG DATA IN BANKING SECTOR
Table of Tables
Table 4.1: Gender..........................................................................................................................38
Table 4.2: Age group of respondents.............................................................................................39
Table 4.3: Experience....................................................................................................................40
Table 4.4: Percentage of use big data analytics for banking operations........................................41
Table 4.5: Big data and innovation in data driven.........................................................................42
Table 4.6: Percentage of improve the customer insights...............................................................43
Table 4.7: Barrier to adoption of big data in the organization.......................................................45
Table 4.8: Real time insights for the business is quality of big data.............................................46
Table 4.9: Compliance and regulations- main business challenges for the industry over next 5
years...............................................................................................................................................48
Table 4.10: Limitations of legacy system- IT challenge for the industry over next 3 years.........49
Table 4.11: Big data challenges affect the level of customer satisfaction.....................................51
Table 4.12: Big data analytics provide personalized banking solutions to the customers............52
Table 4.13: Performance analytics by means of big data help in budgeting and innovation in
banking sector................................................................................................................................54
Table 4.14: Privacy is the main concern for the customers...........................................................55
Table 4.15: Organization has in-house data experts in big data to develop and deploy the big data
solutions.........................................................................................................................................57
Table 4.16: Summary output of regression analysis conducted for hypothesis 1.........................59
Table 4.16: Summary output of regression analysis conducted for hypothesis 1.........................59
Table 4.17: ANOVA table of regression analysis conducted for hypothesis 1.............................59
Table 4.18: Coefficient table of regression analysis conducted for hypothesis 1.........................59
Table 4.19: Summary output of regression analysis conducted for hypothesis 2.........................60
Table 4.20: ANOVA table of regression analysis conducted for hypothesis 2.............................60
Table 4.21: Coefficient table of regression analysis conducted for hypothesis 2.........................61
Table of Tables
Table 4.1: Gender..........................................................................................................................38
Table 4.2: Age group of respondents.............................................................................................39
Table 4.3: Experience....................................................................................................................40
Table 4.4: Percentage of use big data analytics for banking operations........................................41
Table 4.5: Big data and innovation in data driven.........................................................................42
Table 4.6: Percentage of improve the customer insights...............................................................43
Table 4.7: Barrier to adoption of big data in the organization.......................................................45
Table 4.8: Real time insights for the business is quality of big data.............................................46
Table 4.9: Compliance and regulations- main business challenges for the industry over next 5
years...............................................................................................................................................48
Table 4.10: Limitations of legacy system- IT challenge for the industry over next 3 years.........49
Table 4.11: Big data challenges affect the level of customer satisfaction.....................................51
Table 4.12: Big data analytics provide personalized banking solutions to the customers............52
Table 4.13: Performance analytics by means of big data help in budgeting and innovation in
banking sector................................................................................................................................54
Table 4.14: Privacy is the main concern for the customers...........................................................55
Table 4.15: Organization has in-house data experts in big data to develop and deploy the big data
solutions.........................................................................................................................................57
Table 4.16: Summary output of regression analysis conducted for hypothesis 1.........................59
Table 4.16: Summary output of regression analysis conducted for hypothesis 1.........................59
Table 4.17: ANOVA table of regression analysis conducted for hypothesis 1.............................59
Table 4.18: Coefficient table of regression analysis conducted for hypothesis 1.........................59
Table 4.19: Summary output of regression analysis conducted for hypothesis 2.........................60
Table 4.20: ANOVA table of regression analysis conducted for hypothesis 2.............................60
Table 4.21: Coefficient table of regression analysis conducted for hypothesis 2.........................61
8EFFECT OF BIG DATA IN BANKING SECTOR
Chapter 1: Introduction
1.1 Background of the study
The thesis paper is based on effect of the big data in the banking sector. Sivarajah et al.
(2017) stated that the big data has significant impact in the world economics such as healthcare,
manufacturing, government, retail and others. Apart from the mentioned sectors, the banking
sector gain profit from leveraging the big data. Akter and Wamba (2016) argued that the big data
analytics not only help the banking sector to exploit assessment of the data but it will also
facilitate to gain aggressive advantage, decrease the cost, transfers the challenges to benefits and
reduce the risks in real time. Canhoto, Clark and Fennemore (2013) discussed that this report
also explained the opportunities for the financial services to apply innovative data sets as well as
algorithms to the business operations which will optimize resources allocations, management of
cash and processing of currency. Chen et al. (2015) defined the big data as the tem used to
describe as vast growth as well as data availability, structured in addition to unstructured.
According to Choi, Chan and Yue (2017), the financial business organizations are
struggled to the profit from huge amounts of data as well as banks only use of the portion of the
data for generating insights that enhance the experiences of the customers. Demirkan and Delen
(2013) found that the banking sector is applied of big data leads to 4% increase in the market
share over the banking operations. According to Galbraith (2014), the big data analytics is a
required part of the commerce strategy which helps to detect as well as prevent the financial
crime. The big data enabled the banks to implement of real time big data analytics on the large
scale for meeting with growing financial threats. George, Haas and Pentland (2014) stated that
Chapter 1: Introduction
1.1 Background of the study
The thesis paper is based on effect of the big data in the banking sector. Sivarajah et al.
(2017) stated that the big data has significant impact in the world economics such as healthcare,
manufacturing, government, retail and others. Apart from the mentioned sectors, the banking
sector gain profit from leveraging the big data. Akter and Wamba (2016) argued that the big data
analytics not only help the banking sector to exploit assessment of the data but it will also
facilitate to gain aggressive advantage, decrease the cost, transfers the challenges to benefits and
reduce the risks in real time. Canhoto, Clark and Fennemore (2013) discussed that this report
also explained the opportunities for the financial services to apply innovative data sets as well as
algorithms to the business operations which will optimize resources allocations, management of
cash and processing of currency. Chen et al. (2015) defined the big data as the tem used to
describe as vast growth as well as data availability, structured in addition to unstructured.
According to Choi, Chan and Yue (2017), the financial business organizations are
struggled to the profit from huge amounts of data as well as banks only use of the portion of the
data for generating insights that enhance the experiences of the customers. Demirkan and Delen
(2013) found that the banking sector is applied of big data leads to 4% increase in the market
share over the banking operations. According to Galbraith (2014), the big data analytics is a
required part of the commerce strategy which helps to detect as well as prevent the financial
crime. The big data enabled the banks to implement of real time big data analytics on the large
scale for meeting with growing financial threats. George, Haas and Pentland (2014) stated that
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9EFFECT OF BIG DATA IN BANKING SECTOR
the fraud has caused billion of losses on annual basis while the banking industry is continued to
spend millions on the technologies aimed to decrease the fraud plus keep the customers satisfied.
1.2 Aim of the study
The main aim of this study is to understand the impact of big data in the banking sector of
Qatar. The banks are monitored what the customers say for the marketing purposes. The banking
sector can identify the key customers and get their feedback to improve the business operations
by increasing productivity plus services.
1.3 Objectives of the study
Following are the objectives of this investigation study:
To evaluate the benefits of the big data in the banking sector
To determine the root cause of drop in customer satisfaction
To determine the challenges of big data in the banking sector
1.4 Research question
Following is the research question which is followed to analyze ten entire thesis works:
1. How big data effects the business operations of banking system?
1.5 Research hypothesis
The research study is based on following research hypothesis such as:
Hypothesis 1: There is positive impact of using big data in the banking sector with
respect to the benefits.
the fraud has caused billion of losses on annual basis while the banking industry is continued to
spend millions on the technologies aimed to decrease the fraud plus keep the customers satisfied.
1.2 Aim of the study
The main aim of this study is to understand the impact of big data in the banking sector of
Qatar. The banks are monitored what the customers say for the marketing purposes. The banking
sector can identify the key customers and get their feedback to improve the business operations
by increasing productivity plus services.
1.3 Objectives of the study
Following are the objectives of this investigation study:
To evaluate the benefits of the big data in the banking sector
To determine the root cause of drop in customer satisfaction
To determine the challenges of big data in the banking sector
1.4 Research question
Following is the research question which is followed to analyze ten entire thesis works:
1. How big data effects the business operations of banking system?
1.5 Research hypothesis
The research study is based on following research hypothesis such as:
Hypothesis 1: There is positive impact of using big data in the banking sector with
respect to the benefits.
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10EFFECT OF BIG DATA IN BANKING SECTOR
Hypothesis 2: There is positive impact of using big data in the banking sector with
respect to the challenges faced in big data implementation.
1.6 Problem statement
The bank is under consideration which can identify to prevent the confidential
information leaks out. The banking sector is being in operation since the past 20 years, but it
revives the profit margins to the financial crisis. The employee’s and customer’s feedback are
collected to understand and fix the challenges in the banking sector regarding use of the big data.
The researcher experienced a measurement of the customer satisfaction along with customer
retention as they are dropped. The data of customer are measured so that it will help the banking
sector to understand the issues that they are facing due to poor services.
1.7 Rationale of the study
As there is an increase in big data, it effects on the banking sector which are becoming
more apparent. The future holds a greater deal for the positive changes and the banking
organizations are capitalized on that. With the big data being leveraged in fields of the banking s
well as financial services, the risk management attained its potential. It can provide
comprehensive management of risks and make process efficient with automation. One of the
reasons behind selecting this research topic is to improve the experiences of employee and
customer.
1.8 Structure of the study
The selected thesis topic is being divided in five chapters which are highlighted in details
to understand the reader regarding purpose of each chapter:
Chapter 1: Introduction
Hypothesis 2: There is positive impact of using big data in the banking sector with
respect to the challenges faced in big data implementation.
1.6 Problem statement
The bank is under consideration which can identify to prevent the confidential
information leaks out. The banking sector is being in operation since the past 20 years, but it
revives the profit margins to the financial crisis. The employee’s and customer’s feedback are
collected to understand and fix the challenges in the banking sector regarding use of the big data.
The researcher experienced a measurement of the customer satisfaction along with customer
retention as they are dropped. The data of customer are measured so that it will help the banking
sector to understand the issues that they are facing due to poor services.
1.7 Rationale of the study
As there is an increase in big data, it effects on the banking sector which are becoming
more apparent. The future holds a greater deal for the positive changes and the banking
organizations are capitalized on that. With the big data being leveraged in fields of the banking s
well as financial services, the risk management attained its potential. It can provide
comprehensive management of risks and make process efficient with automation. One of the
reasons behind selecting this research topic is to improve the experiences of employee and
customer.
1.8 Structure of the study
The selected thesis topic is being divided in five chapters which are highlighted in details
to understand the reader regarding purpose of each chapter:
Chapter 1: Introduction
11EFFECT OF BIG DATA IN BANKING SECTOR
This specific chapter summarizes direction of this investigatation study. The details are
being provided on the selected thesis topic such that the reader can understand aim and
objectives of selected title. It provides a brief background of this study with the problem
statement discusses to identify issues in this research.
Chapter 2: Literature review
This literature study initiates at starting of the thesis work for gaining skills as well as
knowledge about the effect of big data in banking sector. The primary literature review forms
information related to design the paper. It will discuss theories related to big data as it signifies
the literature. The review discusses models plus approaches on the big data analytics.
Chapter 3: Research methodology
In this particular chapter, the research philosophy, approaches as well as design are being
discussed for gaining knowledge on the collected data. It helps to direct path towards proper
understanding of the selected thesis study. In this study, primary data collection method is used
where the data are composed right through survey method and interview. Quantitative tools are
used to collected data. It provides discussion to determine validity and reliability of gathered data
based on the survey questions.
Chapter 4: Data analysis and findings
The researcher analyzes the data sources which provides with proper results and
outcomes of this study. The factors which provide effect on big data in banking sector are being
analyzed in this chapter. It discusses findings from the literature study, survey data and interview
data.
This specific chapter summarizes direction of this investigatation study. The details are
being provided on the selected thesis topic such that the reader can understand aim and
objectives of selected title. It provides a brief background of this study with the problem
statement discusses to identify issues in this research.
Chapter 2: Literature review
This literature study initiates at starting of the thesis work for gaining skills as well as
knowledge about the effect of big data in banking sector. The primary literature review forms
information related to design the paper. It will discuss theories related to big data as it signifies
the literature. The review discusses models plus approaches on the big data analytics.
Chapter 3: Research methodology
In this particular chapter, the research philosophy, approaches as well as design are being
discussed for gaining knowledge on the collected data. It helps to direct path towards proper
understanding of the selected thesis study. In this study, primary data collection method is used
where the data are composed right through survey method and interview. Quantitative tools are
used to collected data. It provides discussion to determine validity and reliability of gathered data
based on the survey questions.
Chapter 4: Data analysis and findings
The researcher analyzes the data sources which provides with proper results and
outcomes of this study. The factors which provide effect on big data in banking sector are being
analyzed in this chapter. It discusses findings from the literature study, survey data and interview
data.
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