A Comprehensive Analysis of Big Data Analytics Impact on Organisations

This capstone project provides an in-depth analysis of the impact of big data analytics on organizations. It begins by introducing the concept and importance of big data analytics, highlighting its role in identifying new opportunities and making informed business decisions. The project outlines the objectives, including understanding the concept, determining its use in organizations, and analysing its impact. A literature review explores various perspectives on big data analytics, its benefits like improved operational efficiency and customer personalization, and the technologies involved such as Hadoop and predictive analytics software. The study also discusses how organizations use big data for customer retention, marketing campaigns, risk management, supply chain handling, and product creation. The research methodology employs both qualitative and quantitative research methods, utilizing primary and secondary data collection techniques to provide a comprehensive understanding of the subject. The project concludes by emphasizing the potential of big data analytics to bring social and economic advantages to organizations.

Capstone Project

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.”
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

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.

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

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.

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

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

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

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

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