Impact of Big Data Analytics on Organizations
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This report analyzes the impact of big data analytics on organizations, including its benefits, use, and importance. It also discusses the research methodology used and includes a questionnaire for readers to answer.
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Capstone Project
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Table of Contents
Title of the Capstone Project: “To analyse the impact of big data analytics on organisations.”
....................................................................................................................................................3
INTRODUCTION......................................................................................................................3
Objectives...................................................................................................................................3
To understand the concept and importance of big data analytics...........................................4
To determine the use of big data analytics in organisations...................................................5
To analyse the impact of big data analytics on organisations................................................6
Research Methodology ..............................................................................................................6
Project management plan:......................................................................................................8
Results & Discussions..............................................................................................................18
CONCLUSION........................................................................................................................19
REFERENCES.........................................................................................................................20
Books and Journals:..............................................................................................................20
Title of the Capstone Project: “To analyse the impact of big data analytics on organisations.”
....................................................................................................................................................3
INTRODUCTION......................................................................................................................3
Objectives...................................................................................................................................3
To understand the concept and importance of big data analytics...........................................4
To determine the use of big data analytics in organisations...................................................5
To analyse the impact of big data analytics on organisations................................................6
Research Methodology ..............................................................................................................6
Project management plan:......................................................................................................8
Results & Discussions..............................................................................................................18
CONCLUSION........................................................................................................................19
REFERENCES.........................................................................................................................20
Books and Journals:..............................................................................................................20
Title of the Capstone Project: “To analyse the impact of big data analytics on
organisations.”
INTRODUCTION
In today’s business environment, big data analytics is becoming very important in an
organization as it helps them to harness their data and use it in an effective way for the
purpose of identifying new opportunities (Hariri, Fredericks and Bowers, 2019). Big data
analytics is not an easy process as it is a complex process that examines the big data in order
to uncover the information related to market trends, customer preferences, correlations,
hidden, etc. These all are very important for the purpose of making an informed business
decision. Organizations are using big data analytic systems and software so that day can able
to make data-driven decisions. It will lead to improvement the business-related outcomes.
There are many more benefits that will be discussed in this research report such as new
revenue opportunities, improved operational efficiency, customer personalization, etc. If
organizations are having an effective strategy these benefits will be providing a competitive
advantage to their rivals. This research report aims to analyse the impact of big data analytics
in organisation. It will use and effective research methodology which used for this report. It
will also discuss the benefits and impact of big data analytics.
The main purpose of conducting the present investigation is to showcase the
importance of big data analytics which is known as a complex procedure to examine big data
for uncovering significant data such as market trends, customer preferences, hidden patterns
and correlations. Basically examining these data help a company to make right decision.
Hence, this report carries out information about the systems and software of big data
analytics for making data-driven decisions that could ultimately improve business-related
results. Along with this it also covers the use of big data analytics and impact of big data
analytics on companies.
Objectives
To understand the concept and importance of big data analytics.
To determine the use of big data analytics in organisations.
To analyse the impact of big data analytics on organisations.
Literature Review
organisations.”
INTRODUCTION
In today’s business environment, big data analytics is becoming very important in an
organization as it helps them to harness their data and use it in an effective way for the
purpose of identifying new opportunities (Hariri, Fredericks and Bowers, 2019). Big data
analytics is not an easy process as it is a complex process that examines the big data in order
to uncover the information related to market trends, customer preferences, correlations,
hidden, etc. These all are very important for the purpose of making an informed business
decision. Organizations are using big data analytic systems and software so that day can able
to make data-driven decisions. It will lead to improvement the business-related outcomes.
There are many more benefits that will be discussed in this research report such as new
revenue opportunities, improved operational efficiency, customer personalization, etc. If
organizations are having an effective strategy these benefits will be providing a competitive
advantage to their rivals. This research report aims to analyse the impact of big data analytics
in organisation. It will use and effective research methodology which used for this report. It
will also discuss the benefits and impact of big data analytics.
The main purpose of conducting the present investigation is to showcase the
importance of big data analytics which is known as a complex procedure to examine big data
for uncovering significant data such as market trends, customer preferences, hidden patterns
and correlations. Basically examining these data help a company to make right decision.
Hence, this report carries out information about the systems and software of big data
analytics for making data-driven decisions that could ultimately improve business-related
results. Along with this it also covers the use of big data analytics and impact of big data
analytics on companies.
Objectives
To understand the concept and importance of big data analytics.
To determine the use of big data analytics in organisations.
To analyse the impact of big data analytics on organisations.
Literature Review
To understand the concept and importance of big data analytics.
According to Ristevski and Chen, 2018, big data analytics is a complex process of
examining big data to uncover information regarding market trends, hidden pattern,
correlation and customer preference this information give help organisation taking decision.
Data analytic technology and technique give a way to analyse the data for the organisation. It
is a form of advance analytic and it includes complex applications with predictive models and
statically algorithms. Organisations use big data analytics for the software to make a data-
driven decision because this organisation can improve its decision and also improve business
outcomes. The benefit includes effective marketing, customer personalised information and
improve operational efficiency, new revenue opportunity. The effective strategy gives a
competitive advantage against rivals.
Big data work: Data analytics, statisticians, predictive modellers and professionals
collect and analyse the growing value of structured transaction data. Data professionals
collect data from different sources because of this it semi mixed and unstructured data. Each
organisation used different data from some common source. Some are here internet click
stream data, web server logs, mobile applications, social media content, mobile phone record,
text from customer email and survey responses and machine data collection by the sensor.
Data is cleaned and improved its quality and data quality tool. The collected and processed
data are cleaned by data analytic software.
Many different types of tools and technology support big data analytics. Common
technologies used for the big data analysis process include Hadoop which is an open-source
network that sorts and processes the big set. This technology handles a large amount of
unstructured data. Predictive analytics hardware and software which process large amounts of
data this machine is also additional function include its prediction power (Zhu and et.al.,
2018). Organisations use this analytic for Fraud detection, risk assessment and marketing
operation. Stream analytic tools use for filtering, aggregating and analysing big data that may
be stored and different formats. Distributed storage data is replicated nonrelated database. It
can be measured by independent node failure. NoSQL is a non-related data management
system it is beneficial when working with a large amount of data working they do not require
a fixed schema.
Big data analytics used internal and external sources it also includes weather data or
demographic data from third-party service providers. Organisations used big data analysis for
According to Ristevski and Chen, 2018, big data analytics is a complex process of
examining big data to uncover information regarding market trends, hidden pattern,
correlation and customer preference this information give help organisation taking decision.
Data analytic technology and technique give a way to analyse the data for the organisation. It
is a form of advance analytic and it includes complex applications with predictive models and
statically algorithms. Organisations use big data analytics for the software to make a data-
driven decision because this organisation can improve its decision and also improve business
outcomes. The benefit includes effective marketing, customer personalised information and
improve operational efficiency, new revenue opportunity. The effective strategy gives a
competitive advantage against rivals.
Big data work: Data analytics, statisticians, predictive modellers and professionals
collect and analyse the growing value of structured transaction data. Data professionals
collect data from different sources because of this it semi mixed and unstructured data. Each
organisation used different data from some common source. Some are here internet click
stream data, web server logs, mobile applications, social media content, mobile phone record,
text from customer email and survey responses and machine data collection by the sensor.
Data is cleaned and improved its quality and data quality tool. The collected and processed
data are cleaned by data analytic software.
Many different types of tools and technology support big data analytics. Common
technologies used for the big data analysis process include Hadoop which is an open-source
network that sorts and processes the big set. This technology handles a large amount of
unstructured data. Predictive analytics hardware and software which process large amounts of
data this machine is also additional function include its prediction power (Zhu and et.al.,
2018). Organisations use this analytic for Fraud detection, risk assessment and marketing
operation. Stream analytic tools use for filtering, aggregating and analysing big data that may
be stored and different formats. Distributed storage data is replicated nonrelated database. It
can be measured by independent node failure. NoSQL is a non-related data management
system it is beneficial when working with a large amount of data working they do not require
a fixed schema.
Big data analytics used internal and external sources it also includes weather data or
demographic data from third-party service providers. Organisations used big data analysis for
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the massive big organization to antic its data. Big data analytics is deployed in the big
premises to set its data. Google and Microsoft use these big Data analyses to manage their
data.
To determine the use of big data analytics in organisations.
According to Mehta and Pandit, 2018, big data is the most valuable tool of any
company in modern times. A company much analyse big data and do effectively work and
take decisions according to the information. In the new era, big data analytics is the current
path to profit. Big data analytics is more objective than the older method company take
correct decisions by using big data analytics. There was a time the company can directly not
connect with the customer at one store. And there is no way to understand what customers
demand on a large scale. But now all changes when big data analytics come. Now companies
directly connect with customers and understand what they want. The company use big data
analytics to improve their position in the market.
The company use big data analytics to increase customer retention. No company stand
without a customer for attracting customer and retaining the customer is a necessary object
for the company. Big data analytics allows a company to observe the customer trend and
market their product specifically keeping the product in the customer's mind. Big data
analysis give result according to the customer's want and preference and the customer choose
the product which they like. And this is the best way to retain the customer by full filing its
demand as per own choice.
The company use big data for a marketing campaign. A great campaign can get a
customer for a company. If the campaign is not good loses its retain customer also because of
this big data analysis of customer base and understanding of what people want so that market
campaign is converting more people for their product. The company use big data for risk
management because they assess very big data and big data assesses the risk minimize as
much possible as. It easily assesses short data and long-term data for risk management
models.
The company use big data for supply chain handling it begins with the creation of raw
material and finishes with the product and ends with the hand of the customer. It is difficult
when companies are big so that time companies use big data to analyse raw materials,
products in the warehouse and retails understand product shipment. This will make supply
chain dandling easier which reduces the error and fewer losses for the company.
premises to set its data. Google and Microsoft use these big Data analyses to manage their
data.
To determine the use of big data analytics in organisations.
According to Mehta and Pandit, 2018, big data is the most valuable tool of any
company in modern times. A company much analyse big data and do effectively work and
take decisions according to the information. In the new era, big data analytics is the current
path to profit. Big data analytics is more objective than the older method company take
correct decisions by using big data analytics. There was a time the company can directly not
connect with the customer at one store. And there is no way to understand what customers
demand on a large scale. But now all changes when big data analytics come. Now companies
directly connect with customers and understand what they want. The company use big data
analytics to improve their position in the market.
The company use big data analytics to increase customer retention. No company stand
without a customer for attracting customer and retaining the customer is a necessary object
for the company. Big data analytics allows a company to observe the customer trend and
market their product specifically keeping the product in the customer's mind. Big data
analysis give result according to the customer's want and preference and the customer choose
the product which they like. And this is the best way to retain the customer by full filing its
demand as per own choice.
The company use big data for a marketing campaign. A great campaign can get a
customer for a company. If the campaign is not good loses its retain customer also because of
this big data analysis of customer base and understanding of what people want so that market
campaign is converting more people for their product. The company use big data for risk
management because they assess very big data and big data assesses the risk minimize as
much possible as. It easily assesses short data and long-term data for risk management
models.
The company use big data for supply chain handling it begins with the creation of raw
material and finishes with the product and ends with the hand of the customer. It is difficult
when companies are big so that time companies use big data to analyse raw materials,
products in the warehouse and retails understand product shipment. This will make supply
chain dandling easier which reduces the error and fewer losses for the company.
The company use big data for the creation of good because big data analytic customer
need and want so that they have enough detail for the new formation of the product. Big data
aim to create a product according to customer need and preference.
To analyse the impact of big data analytics on organisations.
Accoeing to the Wang, Kung, and Byrd, 2018, Big Data technologies support
organisation to store large volume of the information so that they can achieve their goals and
objectives and enabling significant cost advantages for the organisation. Apart from this these
kind of technologies engage more kind of analytics and handles and they support the
organisation to analyse the appropriate data and information so that they can improve their
decision-making. Apart from this also enhance the security level through which the
technology application can solve easy for the organisation to overcome the problems. Big
data has the potential in order to bring social and economic advantages to the organisation
and they’re different kind of government Agencies that formally different kind of policies
and structures so that they can promote the development of big data. It also helps the
organisation to enhance the focus on Advance and it takes and also support organisation to
Grab an attractive optimum value from the information. There are different types of factors
like financial services, details, e-commerce fields, manufacturing companies And the
telecommunication that using the big data analytics in order to install investing and optimise
your operation and manage the data traffic in an appropriate manner so that they can maintain
a better supply chain management in order to achieve their goals and objectives and improve
the productive company
Research Methodology
Then research methodology is the type of process that is very helpful for the organisation as
well as for the researcher in order to collect the data and engage the collection of the
information, documentation of the particular information that has been collected And
gathered by the investigator. The information which is gathered by the researcher in order to
achieve the goals and objectives of the company so that they can become more effective in
order to improve the capabilities of the company. This is the research that is needed different
kind of information which is very appropriate and more deep so that they can become more If
need and want so that they have enough detail for the new formation of the product. Big data
aim to create a product according to customer need and preference.
To analyse the impact of big data analytics on organisations.
Accoeing to the Wang, Kung, and Byrd, 2018, Big Data technologies support
organisation to store large volume of the information so that they can achieve their goals and
objectives and enabling significant cost advantages for the organisation. Apart from this these
kind of technologies engage more kind of analytics and handles and they support the
organisation to analyse the appropriate data and information so that they can improve their
decision-making. Apart from this also enhance the security level through which the
technology application can solve easy for the organisation to overcome the problems. Big
data has the potential in order to bring social and economic advantages to the organisation
and they’re different kind of government Agencies that formally different kind of policies
and structures so that they can promote the development of big data. It also helps the
organisation to enhance the focus on Advance and it takes and also support organisation to
Grab an attractive optimum value from the information. There are different types of factors
like financial services, details, e-commerce fields, manufacturing companies And the
telecommunication that using the big data analytics in order to install investing and optimise
your operation and manage the data traffic in an appropriate manner so that they can maintain
a better supply chain management in order to achieve their goals and objectives and improve
the productive company
Research Methodology
Then research methodology is the type of process that is very helpful for the organisation as
well as for the researcher in order to collect the data and engage the collection of the
information, documentation of the particular information that has been collected And
gathered by the investigator. The information which is gathered by the researcher in order to
achieve the goals and objectives of the company so that they can become more effective in
order to improve the capabilities of the company. This is the research that is needed different
kind of information which is very appropriate and more deep so that they can become more If
active in order to collect the information. There are two types of research methods recharge
mention below:
Qualitative research: Qualitative research is the type of research methodology which is
defined on grabbing the appropriate choices and opinion of the participant. This is the
strategy that is also depend on the same kind of Things through which the responses are being
analysed find researcher. In the qualitative research the Where is the town Asda by the
researcher is open-ended.
Quantitative research: This is the research strategy that is used to numerical terms in order to
collect the information and it is the expressed in several manner and using close ended
questions that completely relate in the form of numerical.
Data collection: Data collection is the type of method on it is the technique which are used by
the researcher so that they can collect the data in order to collect the information which is
really helpful for the company. This will going to support the researcher to find and collect
information in order to accomplish their goals in objectives.
Primary data: Primary data is the type of strategy that is used by the researcher so that they
can collect the appropriate information and data without any interference. The primary data
or much rely on the certain things which are very accurate and the liability of the data support
the participants to examine and analyse the accurate information.
Secondary data: Secondary data is the kind of technique that helps the investigator to collect
the data by using different kind of sources which are accessible and existing on the Internet.
These kind of sources are already published on the magazines, government, publications in
many more. And the data that are used by the investigator is very effective and it is a very
time-consuming method If compared to the primary information.
there are different kind of experiment service actions and research are examples of the
different kind of tactics. All these kind of research strategies are very helpful for the company
and the direct impact on achieving appropriate goals in a objectives of the research that are
decided by the company. It is very harmful for the researcher to collect the information and
data by adopting primary and secondary sources.
Sampling: Sampling is the type of matter in the strategy that has to type which is probability
matter in nonprobability method. In this investigation the probability sampling method is
mostly used by the investigator and the sample size which I selected by the investigator is 30.
mention below:
Qualitative research: Qualitative research is the type of research methodology which is
defined on grabbing the appropriate choices and opinion of the participant. This is the
strategy that is also depend on the same kind of Things through which the responses are being
analysed find researcher. In the qualitative research the Where is the town Asda by the
researcher is open-ended.
Quantitative research: This is the research strategy that is used to numerical terms in order to
collect the information and it is the expressed in several manner and using close ended
questions that completely relate in the form of numerical.
Data collection: Data collection is the type of method on it is the technique which are used by
the researcher so that they can collect the data in order to collect the information which is
really helpful for the company. This will going to support the researcher to find and collect
information in order to accomplish their goals in objectives.
Primary data: Primary data is the type of strategy that is used by the researcher so that they
can collect the appropriate information and data without any interference. The primary data
or much rely on the certain things which are very accurate and the liability of the data support
the participants to examine and analyse the accurate information.
Secondary data: Secondary data is the kind of technique that helps the investigator to collect
the data by using different kind of sources which are accessible and existing on the Internet.
These kind of sources are already published on the magazines, government, publications in
many more. And the data that are used by the investigator is very effective and it is a very
time-consuming method If compared to the primary information.
there are different kind of experiment service actions and research are examples of the
different kind of tactics. All these kind of research strategies are very helpful for the company
and the direct impact on achieving appropriate goals in a objectives of the research that are
decided by the company. It is very harmful for the researcher to collect the information and
data by adopting primary and secondary sources.
Sampling: Sampling is the type of matter in the strategy that has to type which is probability
matter in nonprobability method. In this investigation the probability sampling method is
mostly used by the investigator and the sample size which I selected by the investigator is 30.
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Project management plan:
Project management is the type of the strategy that helps the organisation as well as an
investigator to describe the application so that they can Effectively achieve their goals and
objectives. On the basis of the current research the different types of elements of project
management plan which is needed by the investigators that are below mentioned:
Time: This is the element because it helps the investigator to complete the project in a
particular timeline So that they can carry all the research in an effective manner.
Cost: The cost is the kind of term which Define about the incurred expenditure so that they
can achieve the golden objectives of the project and achieve the requirements of the funds so
that they can maintain the financial stability of the research.
Quality: Quality is the term that advert to the term which is needed by the organisation in
order to complete the task in an appropriate manner.
Work breakdown structure and Gantt chart:
This is the strategy and effective equipment that support the researcher to divide the
tasking in the smaller part so that it is become very effective for the participants to work
according to their interest. Apart from this it makes more easier for them to choose their work
accordingly and achieve their goals and objectives. It also helps the organisational
investigator to improve the efficiency of the task and brings more opportunities. The Morgan
chart is the kind of equipment that support the researcher to represent their information in an
graphical form in order to improve the productivity in a fish in sea of the investigation.
Questionnaire
Q.1. Do you understand the meaning of big data analysis?
a) Yes
b) No
Q.2. According to your perception, is it beneficial for the companies to use big data
analysis?
a) Yes
b) No
Q.3. What are the benefits of using big data analytics for the company?
a) Increase in remote working
Project management is the type of the strategy that helps the organisation as well as an
investigator to describe the application so that they can Effectively achieve their goals and
objectives. On the basis of the current research the different types of elements of project
management plan which is needed by the investigators that are below mentioned:
Time: This is the element because it helps the investigator to complete the project in a
particular timeline So that they can carry all the research in an effective manner.
Cost: The cost is the kind of term which Define about the incurred expenditure so that they
can achieve the golden objectives of the project and achieve the requirements of the funds so
that they can maintain the financial stability of the research.
Quality: Quality is the term that advert to the term which is needed by the organisation in
order to complete the task in an appropriate manner.
Work breakdown structure and Gantt chart:
This is the strategy and effective equipment that support the researcher to divide the
tasking in the smaller part so that it is become very effective for the participants to work
according to their interest. Apart from this it makes more easier for them to choose their work
accordingly and achieve their goals and objectives. It also helps the organisational
investigator to improve the efficiency of the task and brings more opportunities. The Morgan
chart is the kind of equipment that support the researcher to represent their information in an
graphical form in order to improve the productivity in a fish in sea of the investigation.
Questionnaire
Q.1. Do you understand the meaning of big data analysis?
a) Yes
b) No
Q.2. According to your perception, is it beneficial for the companies to use big data
analysis?
a) Yes
b) No
Q.3. What are the benefits of using big data analytics for the company?
a) Increase in remote working
b) expand the business
c) Bringing positive worker experience
Q.4. What could be the benefits for every organisation by adopting and using big data
analyses tools and technologies in the company.
a) Advanced employee appointment
b) Increase in responsiveness among workers
c) Improvement in employee preservation
Q.5. According to you Big data analysed create positive impact on the company or
create negative impact on the company?
a) Positive impact
b) Negative impact
c) Neutral
Q.6. What is the major role of big data analyses that used within an organisation?
a) analysing the data
b) communicating the data
c)visualizing the data
Q.7. What are the ways that can be adopted by any organisation in otder to enhance
the usage of big data analyses in the company?
a) by securing the data
b) adapt new changes
c) keep the data and information capture
d) by outlines the goals
Q.8 According to you perception, does big data analyses bring more opportunity of
the company and also increasing overall business productivity?
a) Yes
b) No
Findings
Q.1 Do you understand the meaning of big data analysis? FREQUENC
Y
A) yes 20
B) No 10
c) Bringing positive worker experience
Q.4. What could be the benefits for every organisation by adopting and using big data
analyses tools and technologies in the company.
a) Advanced employee appointment
b) Increase in responsiveness among workers
c) Improvement in employee preservation
Q.5. According to you Big data analysed create positive impact on the company or
create negative impact on the company?
a) Positive impact
b) Negative impact
c) Neutral
Q.6. What is the major role of big data analyses that used within an organisation?
a) analysing the data
b) communicating the data
c)visualizing the data
Q.7. What are the ways that can be adopted by any organisation in otder to enhance
the usage of big data analyses in the company?
a) by securing the data
b) adapt new changes
c) keep the data and information capture
d) by outlines the goals
Q.8 According to you perception, does big data analyses bring more opportunity of
the company and also increasing overall business productivity?
a) Yes
b) No
Findings
Q.1 Do you understand the meaning of big data analysis? FREQUENC
Y
A) yes 20
B) No 10
A) yes B) No
0
2
4
6
8
10
12
14
16
18
20
20
10
Data interpretation- As per the above graph it has been analysed that and it can be
interpreted that around there are 20 out of 30 participants that are knowledgeable about the
meaning of big data analysis that support the organisation to achieve their goals and
objectives. Where is there are 10 out of 30 participants that are still not aware about the
meaning of big data analysis. On the basis of different kind of participants like 20 participant
analyses and understand the meaning of the data analytics in which is really helpful for the
organisation to bring small comes and achieve their goals and objectives
0
2
4
6
8
10
12
14
16
18
20
20
10
Data interpretation- As per the above graph it has been analysed that and it can be
interpreted that around there are 20 out of 30 participants that are knowledgeable about the
meaning of big data analysis that support the organisation to achieve their goals and
objectives. Where is there are 10 out of 30 participants that are still not aware about the
meaning of big data analysis. On the basis of different kind of participants like 20 participant
analyses and understand the meaning of the data analytics in which is really helpful for the
organisation to bring small comes and achieve their goals and objectives
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Q.2. According to your perception, is it beneficial for the companies to use
big data analysis?
FREQUENCY
A) yes 15
B) No 15
A) yes B) No
0
2
4
6
8
10
12
14
16 15 15
Data interpretation- According to the 15 participants big data analytics are very helpful for
the organisation deposit to support the organisation to improve the capabilities and
effectiveness of the company so that the company can improve their capabilities and achieve
their goals and objectives. There is there are 15 participants that things that are not much
beneficial for the company and not provided appropriate outcomes for the companies without
the company rings more opportunities for the company
Q.3. What are the benefits of using big data analytics for the company? FREQUENCY
a) Increase in remote working 5
b) expand the business 7
big data analysis?
FREQUENCY
A) yes 15
B) No 15
A) yes B) No
0
2
4
6
8
10
12
14
16 15 15
Data interpretation- According to the 15 participants big data analytics are very helpful for
the organisation deposit to support the organisation to improve the capabilities and
effectiveness of the company so that the company can improve their capabilities and achieve
their goals and objectives. There is there are 15 participants that things that are not much
beneficial for the company and not provided appropriate outcomes for the companies without
the company rings more opportunities for the company
Q.3. What are the benefits of using big data analytics for the company? FREQUENCY
a) Increase in remote working 5
b) expand the business 7
c) Bringing positive worker experience 18
a) Increase in remote working
b) expand the business
c) Bringing positive worker experience
0
2
4
6
8
10
12
14
16
18
5
7
18
Data interpretation- According to the five participants there are different types of benefits
of using and enhancing the remote working for the company and according to the applicants
it in hands in remote working and according to the seven applicant it expand the organisation
in order to achieve the walls and object in hand. According to the 18 participants did think
that they bring more positive a good experience for the organisation so that they can improve
the brand image and work efficiency
a) Increase in remote working
b) expand the business
c) Bringing positive worker experience
0
2
4
6
8
10
12
14
16
18
5
7
18
Data interpretation- According to the five participants there are different types of benefits
of using and enhancing the remote working for the company and according to the applicants
it in hands in remote working and according to the seven applicant it expand the organisation
in order to achieve the walls and object in hand. According to the 18 participants did think
that they bring more positive a good experience for the organisation so that they can improve
the brand image and work efficiency
Q.4. What could be the benefits for every organisation by adopting and
using big data analyses tools and technologies in the company.
FREQUENCY
a) Advanced employee appointment 12
b) ) Increase in responsiveness among workers 8
c) Improvement in employee preservation 10
a) Advanced employee appointment
b) ) Increase in responsiveness among workers
c) Improvement in employee preservation
0
2
4
6
8
10
12
12
8
10
Data interpretation- According to that 12 applicants there are different benefit for every
organisation by Adopting amusing big data analysis tools and technologies like it to
improve the responsiveness among the employees and also enhance the verb reservation
towards the company and also support the organisation to Advance Employee
appointment so that the company can achieve their goals and objectives and effectively
improve their capabilities.
using big data analyses tools and technologies in the company.
FREQUENCY
a) Advanced employee appointment 12
b) ) Increase in responsiveness among workers 8
c) Improvement in employee preservation 10
a) Advanced employee appointment
b) ) Increase in responsiveness among workers
c) Improvement in employee preservation
0
2
4
6
8
10
12
12
8
10
Data interpretation- According to that 12 applicants there are different benefit for every
organisation by Adopting amusing big data analysis tools and technologies like it to
improve the responsiveness among the employees and also enhance the verb reservation
towards the company and also support the organisation to Advance Employee
appointment so that the company can achieve their goals and objectives and effectively
improve their capabilities.
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Q.5. According to you Big data analysed create positive impact on the
company or create negative impact on the company?
FREQUENCY
a) Positive impact 10
b) Negative impact 5
c) Neutral 15
b) Negative impact c) Neutral
0
2
4
6
8
10
12
14
16
5
15
Data interpretation- On the basis of 10 applicant big data analysis great positive impact on the
organisation and helps the company to achieve their goals and objectives. According to the
five applicant the thing that The big data analysis great negative impact on the organisation
and is very important for the computer focusing on the different strategies in order to enhance
their productivity And efficiency. And according to the 15 applicants we are neutral
regarding the positive and negative impact of the big data analysis
company or create negative impact on the company?
FREQUENCY
a) Positive impact 10
b) Negative impact 5
c) Neutral 15
b) Negative impact c) Neutral
0
2
4
6
8
10
12
14
16
5
15
Data interpretation- On the basis of 10 applicant big data analysis great positive impact on the
organisation and helps the company to achieve their goals and objectives. According to the
five applicant the thing that The big data analysis great negative impact on the organisation
and is very important for the computer focusing on the different strategies in order to enhance
their productivity And efficiency. And according to the 15 applicants we are neutral
regarding the positive and negative impact of the big data analysis
Q.6. What is the major role of big data analyses that used within an
organisation?
FREQUENCY
a) analysing the data
15
b) ) communicating the data 5
c) visualizing the data 10
a) analysing the data
b) ) communicating the data c) visualizing the data
0
2
4
6
8
10
12
14
16 15
5
10
Data interpretation-. On the basis of 15 applicant analysing the big data analyses is analysing
the data and information that can help the organisation to evaluate the appropriate
information. Where is according to the five applicants communicating information and data
in an appropriate manner is the major rule of the big data analysis. Apart from this according
to the 10 applicants visualising the information and the data source objects and plan is the
major role of analysis
organisation?
FREQUENCY
a) analysing the data
15
b) ) communicating the data 5
c) visualizing the data 10
a) analysing the data
b) ) communicating the data c) visualizing the data
0
2
4
6
8
10
12
14
16 15
5
10
Data interpretation-. On the basis of 15 applicant analysing the big data analyses is analysing
the data and information that can help the organisation to evaluate the appropriate
information. Where is according to the five applicants communicating information and data
in an appropriate manner is the major rule of the big data analysis. Apart from this according
to the 10 applicants visualising the information and the data source objects and plan is the
major role of analysis
Q.7. . What are the ways that can be adopted by any organisation in otder
to enhance the usage of big data analyses in the company?
FREQUENCY
a) by securing the data 10
b) adapt new changes 2
c) keep the data and information capture 8
d) by outlines the goals 10
a) by securing the data
b) adapt new changes
c) keep the data and information capture
d) by outlines the goals
0
1
2
3
4
5
6
7
8
9
10
10
2
8
10
Data interpretation- According to the 10 applicants by securing the data and
information is the activity that can be adopted by the company so that they can improve the
utilisation of big data analysis in the company. According to the two applicants by adapting
new modification in the organisation helps the organisation to improve the utilisation of the
big data analysis and keep the date information capture is the way. according to the applicants
that an adopted by the company. Where is according to the 10 applications by outlining their
goals and objectives is that if activate that can be helped the organisation to utilise of the big
data analysis in the company
to enhance the usage of big data analyses in the company?
FREQUENCY
a) by securing the data 10
b) adapt new changes 2
c) keep the data and information capture 8
d) by outlines the goals 10
a) by securing the data
b) adapt new changes
c) keep the data and information capture
d) by outlines the goals
0
1
2
3
4
5
6
7
8
9
10
10
2
8
10
Data interpretation- According to the 10 applicants by securing the data and
information is the activity that can be adopted by the company so that they can improve the
utilisation of big data analysis in the company. According to the two applicants by adapting
new modification in the organisation helps the organisation to improve the utilisation of the
big data analysis and keep the date information capture is the way. according to the applicants
that an adopted by the company. Where is according to the 10 applications by outlining their
goals and objectives is that if activate that can be helped the organisation to utilise of the big
data analysis in the company
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Q.8 According to you perception, does big data analyses bring more
opportunity of the company and also increasing overall business
productivity?
FREQUENCY
a) yes 25
b) No 5
yes b) No
0
5
10
15
20
25
25
5
Data interpretation- On the basis of the 25 applicants big data analysis brings more
opportunities for the company and also support the company to enhance business productivity
in a vision so that they can improve their goals in objectives and are focusing on the more
technologies in order to enhance the brand image. According to the five applicants Are not
effective and not helping the organisation to enhance the business productivity.
opportunity of the company and also increasing overall business
productivity?
FREQUENCY
a) yes 25
b) No 5
yes b) No
0
5
10
15
20
25
25
5
Data interpretation- On the basis of the 25 applicants big data analysis brings more
opportunities for the company and also support the company to enhance business productivity
in a vision so that they can improve their goals in objectives and are focusing on the more
technologies in order to enhance the brand image. According to the five applicants Are not
effective and not helping the organisation to enhance the business productivity.
Results & Discussions
Big data analytics is a time-consuming process of sifting through large amounts of
data to find information about market trends, hidden patterns, correlations, and client
preferences. This information aids organisations in making decisions. Automated analysis
technology and techniques allow an organisation to analyse its data. It's a type of advanced
analytics that entails complicated applications with forecasting analytics and statically
optimization methods. Organizations utilise big data analytics software that makes data-
driven decisions since it allows them to better their decisions and business outcomes.
Marketing strategy, customer-specific information, improved operating effectiveness, and
new income opportunities are among the advantages. Effective approach provides a
competitive advantage over competitors. From this investigation it can be analysed data data
analysis is very effective strategy that support the organisation to improve the capabilities of
the company and also helps them to enhance the customer attention. The corporation uses big
data for product development since big data analyses customers' needs and desires provide
enough depth for new product development. The goal of big data is to build a product that is
tailored to the needs and preferences of the consumer. For a promotional campaign, the
corporation uses big data. A good campaign can bring in a new customer for a business.
Because of this huge data analysis of the customer foundation and knowledge of what
consumers need so that market campaign is turning more individuals for their goods, if the
effort is not good, it loses its keep client. The organisation uses big data for managing risk
since they evaluate a lot of data, and big data reduces risk as much as feasible.
In relation to the current research topic, the investigator has used the primary data
gathering method, with positivist as the research approach of choice. Instead of using
positivism as a research philosophy, a researcher could use pragmatism as a research
approach. It's because positivism just considers one sort of data, however pragmatism
considers both interpretation and basement positivism components, which finally aids in the
completion of this research project by acquiring individual bias and keeping clean outcomes.
In addition, the researcher can concentrate on the exploitation of secondary sources of
Big data analytics is a time-consuming process of sifting through large amounts of
data to find information about market trends, hidden patterns, correlations, and client
preferences. This information aids organisations in making decisions. Automated analysis
technology and techniques allow an organisation to analyse its data. It's a type of advanced
analytics that entails complicated applications with forecasting analytics and statically
optimization methods. Organizations utilise big data analytics software that makes data-
driven decisions since it allows them to better their decisions and business outcomes.
Marketing strategy, customer-specific information, improved operating effectiveness, and
new income opportunities are among the advantages. Effective approach provides a
competitive advantage over competitors. From this investigation it can be analysed data data
analysis is very effective strategy that support the organisation to improve the capabilities of
the company and also helps them to enhance the customer attention. The corporation uses big
data for product development since big data analyses customers' needs and desires provide
enough depth for new product development. The goal of big data is to build a product that is
tailored to the needs and preferences of the consumer. For a promotional campaign, the
corporation uses big data. A good campaign can bring in a new customer for a business.
Because of this huge data analysis of the customer foundation and knowledge of what
consumers need so that market campaign is turning more individuals for their goods, if the
effort is not good, it loses its keep client. The organisation uses big data for managing risk
since they evaluate a lot of data, and big data reduces risk as much as feasible.
In relation to the current research topic, the investigator has used the primary data
gathering method, with positivist as the research approach of choice. Instead of using
positivism as a research philosophy, a researcher could use pragmatism as a research
approach. It's because positivism just considers one sort of data, however pragmatism
considers both interpretation and basement positivism components, which finally aids in the
completion of this research project by acquiring individual bias and keeping clean outcomes.
In addition, the researcher can concentrate on the exploitation of secondary sources of
information in which just a single approach can be used. It will assist in attaining the desired
results and finishing the investigation with greater authenticity by incorporating the
perspectives of several authors.
CONCLUSION
From the above-mentioned report it has been analysed data big data analysis is very
effective technology that health organisation to achieve the goals and objectives of the
company and also helps the organisation to managing the risk and capabilities of the
company. Apart from this you are different kind of methodologies that are use weather
investigator so that they can collect the appropriate data and achieve the goals and objectives
of the investigation. As the research are use primary as well as secondary data in order to
collect the information and grab their information from the journals in article so that they can
get appropriate information and also conduct survey and questionnaire so that they can
collate the primary information which is cost-effective and less time-consuming. Apart from
this the investigator is also focusing on the quality and appropriate timing of the
investigation in order to complete the task in a particular time frame. Apart from this
investigators also used Work breakdown structure in game chat in order to divide the working
in smaller part and represent the data in them graphical form.
results and finishing the investigation with greater authenticity by incorporating the
perspectives of several authors.
CONCLUSION
From the above-mentioned report it has been analysed data big data analysis is very
effective technology that health organisation to achieve the goals and objectives of the
company and also helps the organisation to managing the risk and capabilities of the
company. Apart from this you are different kind of methodologies that are use weather
investigator so that they can collect the appropriate data and achieve the goals and objectives
of the investigation. As the research are use primary as well as secondary data in order to
collect the information and grab their information from the journals in article so that they can
get appropriate information and also conduct survey and questionnaire so that they can
collate the primary information which is cost-effective and less time-consuming. Apart from
this the investigator is also focusing on the quality and appropriate timing of the
investigation in order to complete the task in a particular time frame. Apart from this
investigators also used Work breakdown structure in game chat in order to divide the working
in smaller part and represent the data in them graphical form.
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REFERENCES
Books and Journals:
Hariri, R.H., Fredericks, E.M. and Bowers, K.M., 2019. Uncertainty in big data analytics:
survey, opportunities, and challenges. Journal of Big Data, 6(1), pp.1-16.
Mehta, N. and Pandit, A., 2018. Concurrence of big data analytics and healthcare: A
systematic review. International journal of medical informatics, 114, pp.57-65.
Ristevski, B. and Chen, M., 2018. Big data analytics in medicine and healthcare. Journal of
integrative bioinformatics, 15(3).
Zhu, L., and et.al., 2018. Big data analytics in intelligent transportation systems: A
survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), pp.383-398.
Wang, Y., Kung, L. and Byrd, T.A., 2018. Big data analytics: Understanding its capabilities
and potential benefits for healthcare organizations. Technological Forecasting and
Social Change, 126, pp.3-13.
Popchev, I.P. and Orozova, D., 2019. Towards big data analytics in the e-learning
space. Cybernetics and information technologies, 19(3), pp.16-24.
Teng, S. and Khong, K.W., 2021. Examining actual consumer usage of E-wallet: A case
study of big data analytics. Computers in Human Behavior, 121, p.106778.
Fryer, L.K., Larson-Hall, J. and Stewart, J., 2018. Quantitative methodology. In The
Palgrave handbook of applied linguistics research methodology (pp. 55-77). Palgrave
Macmillan, London.
Elgort, I., 2018. Technology-mediated second language vocabulary development: A review
of trends in research methodology. calico journal, 35(1), pp.1-29.
Books and Journals:
Hariri, R.H., Fredericks, E.M. and Bowers, K.M., 2019. Uncertainty in big data analytics:
survey, opportunities, and challenges. Journal of Big Data, 6(1), pp.1-16.
Mehta, N. and Pandit, A., 2018. Concurrence of big data analytics and healthcare: A
systematic review. International journal of medical informatics, 114, pp.57-65.
Ristevski, B. and Chen, M., 2018. Big data analytics in medicine and healthcare. Journal of
integrative bioinformatics, 15(3).
Zhu, L., and et.al., 2018. Big data analytics in intelligent transportation systems: A
survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), pp.383-398.
Wang, Y., Kung, L. and Byrd, T.A., 2018. Big data analytics: Understanding its capabilities
and potential benefits for healthcare organizations. Technological Forecasting and
Social Change, 126, pp.3-13.
Popchev, I.P. and Orozova, D., 2019. Towards big data analytics in the e-learning
space. Cybernetics and information technologies, 19(3), pp.16-24.
Teng, S. and Khong, K.W., 2021. Examining actual consumer usage of E-wallet: A case
study of big data analytics. Computers in Human Behavior, 121, p.106778.
Fryer, L.K., Larson-Hall, J. and Stewart, J., 2018. Quantitative methodology. In The
Palgrave handbook of applied linguistics research methodology (pp. 55-77). Palgrave
Macmillan, London.
Elgort, I., 2018. Technology-mediated second language vocabulary development: A review
of trends in research methodology. calico journal, 35(1), pp.1-29.
Janis, I., Alias, M., Zulkipli, M. and Muhammad-Sukki, F., 2020. Using Illustrations to
Make Decisions on the Most Appropriate Qualitative Research Methodology: The
Industry 4.0 Scenario. International journal of qualitative methods, 19,
p.1609406920907247.
Song, C.E., Park, H., Lee, M. and Stevens, K.R., 2021. Integrating EBP into an
undergraduate research methodology course using the Star Model of Knowledge
Transformation: A mixed-method study. Nurse Education Today, 105, p.105021.
Thompson Burdine, J., Thorne, S. and Sandhu, G., 2021. Interpretive description: a flexible
qualitative methodology for medical education research. Medical Education, 55(3),
pp.336-343.
Papachristos, G. and Struben, J., 2019. System dynamics methodology and
research. Modelling Transitions: Virtues, Vices, Visions of the Future; Routledge:
London, UK, p.119.
Dekker, R., Franco Contreras, J. and Meijer, A., 2020. The living lab as a methodology for
public administration research: A systematic literature review of its applications in the
social sciences. International Journal of Public Administration, 43(14), pp.1207-1217.
Olanrewaju, A.L., Wong, W.F., Yahya, N.N.H.N. and Im, L.P., 2019, September. Proposed
research methodology for establishing the critical success factors for maintenance
management of hospital buildings. In AIP conference proceedings (Vol. 2157, No. 1, p.
020036). AIP Publishing LLC.
Devezer, B., Navarro, D.J., Vandekerckhove, J. and Ozge Buzbas, E., 2020. The case for
formal methodology in scientific reform. Royal Society open science, 8(3), p.200805.
Make Decisions on the Most Appropriate Qualitative Research Methodology: The
Industry 4.0 Scenario. International journal of qualitative methods, 19,
p.1609406920907247.
Song, C.E., Park, H., Lee, M. and Stevens, K.R., 2021. Integrating EBP into an
undergraduate research methodology course using the Star Model of Knowledge
Transformation: A mixed-method study. Nurse Education Today, 105, p.105021.
Thompson Burdine, J., Thorne, S. and Sandhu, G., 2021. Interpretive description: a flexible
qualitative methodology for medical education research. Medical Education, 55(3),
pp.336-343.
Papachristos, G. and Struben, J., 2019. System dynamics methodology and
research. Modelling Transitions: Virtues, Vices, Visions of the Future; Routledge:
London, UK, p.119.
Dekker, R., Franco Contreras, J. and Meijer, A., 2020. The living lab as a methodology for
public administration research: A systematic literature review of its applications in the
social sciences. International Journal of Public Administration, 43(14), pp.1207-1217.
Olanrewaju, A.L., Wong, W.F., Yahya, N.N.H.N. and Im, L.P., 2019, September. Proposed
research methodology for establishing the critical success factors for maintenance
management of hospital buildings. In AIP conference proceedings (Vol. 2157, No. 1, p.
020036). AIP Publishing LLC.
Devezer, B., Navarro, D.J., Vandekerckhove, J. and Ozge Buzbas, E., 2020. The case for
formal methodology in scientific reform. Royal Society open science, 8(3), p.200805.
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