Uses of Big Data in Business

This report examines the uses of big data in business, highlighting its benefits in improving customer experience, optimizing business processes, enhancing performance, and driving better decision-making. It also discusses the challenges associated with big data implementation and provides insights into ethical considerations and research methodologies.

Uses of big data in business

Table of Contents
INTRODUCTION...........................................................................................................................1
Project Scope...................................................................................................................................1
Project objectives ............................................................................................................................1
LITERATURE REVIEW................................................................................................................1
Improving the customer's experience and transforming the marketing......................................1
Optimizing the process of business ............................................................................................1
Performance optimization and personal quantification...............................................................2
Improves the healthcare and security..........................................................................................2
Improve cities .............................................................................................................................2
Cost effective and time reduction...............................................................................................2
Use for better and faster decision making...................................................................................3
Research Question.......................................................................................................................3
RESEARCH METHODOLOGY.....................................................................................................4
Types of investigation.................................................................................................................4
Research philosophy...................................................................................................................4
Research approaches...................................................................................................................4
Research design...........................................................................................................................4
Data sampling..............................................................................................................................5
Data collection............................................................................................................................5
Ethical consideration...................................................................................................................5
Research limitation......................................................................................................................6
Time scale...................................................................................................................................6
..........................................................................................................................................................8
..........................................................................................................................................................8
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
In today's time, use big data is one of the important technology which is used by the
companies for attaining positive outcomes. Every business, whether company small or big
having their specific data which may help them in improving their performance level at market
place (Wamba et al., 2015). With the help of this company easily understand their target
audience and customers preferences in order to attain positive results. This research is based on
retail industry. In addition of this, right data helps in attaining set goals and objectively.
Project Scope
Big data is more useful for business organization to improve their performance level at
market place. Along with this, company also face various challenges so that it is important for
company to manage big data in order to improve their performance level. In addition of this,
Hadoop consider as an open source software which used by company for storing data and
application in order to solve any kind of issues involve in massive data and computation as well
(Waller & Fawcett, 2013). Present study is based on use of big data in business to enhance the
chaces of attaining positive outcomes.
Project objectives
 To examine that how the companies improve their performance, customer experience,
transform the market.
 To enhance the performance and process, improve healthcare and security by the use of
big data.
Research Questions
 How different departments of company can use big data?
 Discuss negative outcomes of using big data while framing business strategies?
 Discuss the importance of improving customer experience?
LITERATURE REVIEW
Improving the customer's experience and transforming the marketing
Big data company can gather information in large number. In context with customers it is
providing them with maximum benefits as it is giving them with the services and through this
people can get information whatever data they wants. This will help them in having transparency
between the company and customers (Spiess et al., 2014). It is effective for customers as it is
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cost saving and reduce the time for transferring their information form one place to another. As
new technologies are shortening all the process of business because of which they are gaining
maximum profits. In addition of this, the term of big data revolution, customers analytics is the
main epicentre for the business organization. New and advanced technologies also help in
captured the plentiful information of the customers. For this company needs to focus on digital
channels for interacting with customers with the purpose of improving their reviews.
Optimizing the process of business
One of the final step of Business process management. It can be further classified into
three steps: Phase 1: Identify: Under this process, company tries to evaluate the factors that needs
to be overhaul. Through this activity of business is considered which can take the process into
forward direction. Phase 2: Rethink: In this, for resolving the problem company tries to use
unique methodology so that they can get effective results (Raghupathi & Raghupathi, 2014).
Thus, a draft is formed in order to get an idea about the entire process. Phase 3: Automate:
Through this, the activities that provided maximum benefits are optimised on a regular basis so
as to get better result on a continuous basis. Along with this, transformation of big data in supply
chain management is also beneficial for enhancing profitability level of the company. For this,
workers needs various skills and knowledge through which they easily secure huge data in only
one system. As use of big data help in creating positive impact on supply chain management in
which firm may easily enhance their profitability level.
Performance optimization and personal quantification
Big data has put an impact on the performance of organisation as it has increased the
efficiency of a company. Through this method researcher has look into the operational terms in
order to know the strategic impact of big data. Thus, it has enabled firm in improving the
performance because of which it has increased the productivity and profitability at the same
time. Here, role of management is also important as they helps the company in optimising the
resources in a better manner (Provost & Fawcett, 2013). In addition of this, researcher take views
towards the data in order to evaluate the actual results. This will help in increasing overall
performance of the company at market place. For attaining the same, company also provide
training and development programs to employees so that they can easily understand about using
the big data. For implementing this, company includes professionals who are know about using
bid data in organization.
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Improves the healthcare and security
Big data has bring a revolution in the sector of healthcare. As compared to earlier times
now organisation can easily store a large amount of data which they can use in their future
proceedings. This helped them in securing the data and information of their clients. Research has
become easier in terms of healthcare professionals and it is assisting them in giving effective
results (Picciano, 2012). On the other side, use of big data also play important role in healthcare
organization because they have to secure the patients data and information within the purpose of
creating the values for the health care organizations. With the help of use of big data science and
research has more advanced and easy for health care professionals in which they easily
determine all the challenges in order to improve the performance level.
Improve cities
The main role of big data is to evaluate and change the trends of cities and it is helping
them in doing so. Thus, it is helping them in converting the cities into smart cities, for this,
regulatory bodies are monitoring the activities so as that they can implement innovative ideas so
as to make modification of the cities (Moniruzzaman & Hossain, 2013). Apart form this, they
have gone through the modes of governance so that they can have an ideas about the efficiency
of the cities. In making this into reality they are using advanced technologies as a result it is
changing the trends of the cities.
Cost effective and time reduction
Use of big data is more important for business organization to make their services more
effective. By using appropriate and big data company easily reduce the chances of increasing
cost by using advance technologies within their business to improve performance level (Kitchin,
2014). Some organization believe that storage of data is appropriate by using appropriate
technologies which may leads in delivering better services in appropriate manner. Along with
this, using big data is important for reducing the cost and time. The main advantage of using big
data for organization is that it save and time of the firm.
Use for better and faster decision making
Using big data companies take right decision at the time of operating their activities. AS
companies hire IT specialised as well as expert who have better knowledge to implement big
data within their business activities (McAfee and et. al., 2012). With the help of this company
make better relationship with big data and data driven policies. By storing, big data company
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may reduce the chances of arising any kind of issues and obstacles in organizational functional.
This will aid in taking right decision is appropriate time frame which may leads in improving the
chances of attaining set goals and objectives.
Research Question
Q1 How different departments of company can use big data?
Interpretation: Every organization have more data in which IT department are looking
for improvement improving the process of the company and its activities. By using big data
company easily reduce the risk factors and also enhance the chances of attaining positive
outcomes (Groves and et. al., 2013). Along with this it also helps in improving customers
targeting and healthcare services. This will aid in improving he operational activities in
appropriate way as company increase workers permanence at workplace. In addition of this, it
also helps in monitoring the network system which may leads in improving the performance
level.
Q2 Discuss negative outcomes of using big data while framing business strategies?
Interpretation: Using big data in business organization enhance the chances of arising
positive outcomes by which firm attain et goals and objectives. On the other hand, some time it
also creates negative impact at the time of forming business strategies. It has been analysed that,
using big data is consist with many issues like it delay the process of when it comes to pull out
specific information (How Big Data Can Help You Do Wonders In Your Business, 2016). Thus,
it is important for company to make their process appropriate and also analyse the system to
implement the strategies in systematic manner. With the help of this, firm easily enhance the
chances of attaining positive outcomes and at the same time effectively implement the strategies
to enhance overall performance.
Q3. Discuss the importance of improving customer experience?
Interpretation: Customers experience is one of the important aspect for every business
organization to attain success at market place. Thus, it is vital responsibility of company to
understand customers needs and wants to enhance their services. This will aid in attaining higher
satisfaction. Along with this, it is possible by communicating with them towards company
products and services. Customers experience can be positive and negative as well because it is an
emotional connection (George, Haas & Pentland, 2014). In addition of this, every business
organization work for creating customers experience which may helps them in enhancing their
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brand image at market place . For attaining the same, company provide quality products and
services as per their needs and wants. One of the main advantage of positive customers
experience is to enhance overall sale of the company. In this using big data play vital role in
managing customers needs and wants by interacting with them. This will help company to store
data and information about customers experience. It also increase loyalty of consumers as
company provide various ways to resolve all the issues and queries of customers which may
leads in creating strong base at market place.
RESEARCH METHODOLOGY
Types of investigation
This is one of the important and effective phase of research methodology through which
researcher collect as well as gather for reaching on desirable goals and objectives. Along with
this, researcher use various sort of approaches by which they can easily take right decision in
systematic way (Erevelles, Fukawa & Swayne, 2016). Mainly, there are two type of investigation
such as qualitative and quantitative. Both are more effective and appropriate types through which
investigator collect data in detailed manner. For this research, investigator use qualitative method
which may leads in collecting relevant data and information in order to take right decision in
appropriate manner.
In this research, 30 respondents (Customers) will be taken as a sample size and approach
them through mail in order to fill the questionnaire. For this, mail will be send on their main ID
with the purpose of filling the questionnaire as per their convenient. However, company is
targetting IT managers and expertise people for their product in order to maximize organization
sales volume. One of the major reason behind targetting IT mangers is that they can help retail
industry in grabbing attention of clients with the help of modern methods. For example; various
retail companies are identified which are targetting managers and several specialist for
maximizing their sales percentage like; Marks and Spencer. Apart from this, ALDI is another
organization who is getting engaged in pointing various leaders and their competitors for gaining
competitive advantage. In fact, creating positive relations with other successful players is
beneficial for entire industry for acquiring maximum benefits.
Research philosophy
This section refer to proper belief in which provide relevant data to determine appropriate
results. Under this, investigator deal with various sources and knowledge which can be leads
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attaining favourable information. In this there are two type of philosophy such as positivism and
intreprevistism. Positivism refer to quantifiable observations which help to statistical analyse
which help at the time of data collection. Mainly it is philosophical theory that is relate with
natural phenomena. In this, information can be derived from sensory interpreted, exclusive
source of definite knowledge. It concern with positive facts and also exclude opinion and
speculation upon causes. Intreprevistism refer to the epistemology which focus on the difference
between social action and humans as well. Both are important for researcher to pull out the right
decision. For current research, investigator use intreprevistism philosophy in order to gather
appropriate results in systematic way.
Research approaches
Main activities of an investigation rely on various methodologies which are use through
an investigator for running or completing the tasks in a better manner. It is mainly of two
different kinds inductive as well as deductive. Under this, there are 30 groups made of 8 persons
for conduct the survey about the big data. The IT manager and expert focus on these groups. It is
procedure and plan that includes step of the road assumptions to the data collection,
interpretation and analysis in detailed manner. This is also an important method of research
methodology in which various approaches are used by researcher as per research topic. This will
aid in collecting relevant information in order to take right decision. In this context, there are two
type of approaches such as deductive and inductive both are more effective to carry out the
research (Davenport & Dyché, 2013). Deductive research is based on tests, assumptions and
validity. On the other side, inductive approach refer to new theories and generalizations. In
current research, investigator use inductive approach which is relate with qualitative methods.
Through which new and innovative ways are used by researcher for enhancing the chances of
attaining positive outcomes.
Research design
Under this, it refer to a blueprint in which investigator choose the most effective method
which helps in drawing valid conclusion. In addition of this, research design also set objectives
and goals in which researcher put their efforts for determining the positive results. For attaining
the same, investigator have to collect information in detail manner in which firm easily attain
competitive advantages and at the same time also increase the chances of improving performance
level of the company. In this, there are two type of methods such as experimental, exploratory
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and descriptive. Experimental research design is help in establish relationship between two
variables and group of variables to gather data and information. Descriptive research design refer
to in depth research as it does not require any kind of hypothesis. In this research, investigator
use descriptive research design for gathering relevant data in order to attain positive outcomes.
The group members have developed a new products with the help of big data like grocery
products with high quality and low cost. As number of people are using these type of products
within their life so that customers can easily satisfy after consuming grocery products.
Data sampling
This method is also important which helps in carry out the whole research in effective
manner. Along with this, researcher needs to analyse the research by gathering relevant data in
most effective manner. Under this, 30 customers are selected as respondents. For this research,
investigator select 30 respondents as customers through which they easily collect valid
information by conducting mail survey in an appropriate time frame. In this context, there are
two type of method such as probabilistic and non probabilistic (Batty, 2013). For this research,
investigator use probabilistic method for data sampling in order to determining positive and
negative impact on the research activities. With the help of this, investigator easily collect
valuable information in order to take appropriate decision.
Data collection
It is one of the important method in which researcher collect data and information from
various respondents with the purpose of attaining positive outcomes. In this context, data
collection refer to those information which is relate with customers views and opinion towards
the research topic (Erevelles, Fukawa & Swayne, 2016). With the help of this, researcher easily
interpreted and implement in effective manner for attaining set aims and objectives project. In
this there are two type of methods such as primary and secondary which used by researcher to
gather as well as collect data in appropriate way:
Primary data collection method: This method is one of the effective and important
which includes questionnaire, interviews, survey, group discussion gmail, through web and many
more. This method take time and money for conducting research in systematic way. The research
interview based on mail survey by which respondents fill survey and also look back for the same.
In this, researcher sending mail to customers to get their views and opinion towards the
company.
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Secondary data collection method: Under this, researcher gather information from
books, news paper, internet, journal ans many more. All these helps in taking right decision.
For knowing opinion of the customers, researcher fill the questionnaire through sending
the data on personal mail of customers. The advantages and disadvantages of mail survey is :
Advantages:
 Mail survey is easy and cost efficient
 Respondents are willing to share data and information
Disadvantages:
 In ail survey response of respondents are very low.
Ethical consideration
This phase also play vital role in entire research as researcher is responsible to consider
as well as follow all the rules at the time of implementing research activities. By following all
the rules researcher effectively attain positive outcomes in appropriate manner (George, Haas &
Pentland, 2014). In addition of this, number of laws are there which is essential for researcher to
consider at the time of implementing activities in appropriate way. On the other side, if they does
not follow rules then they fails in attaining favourable results.
Research limitation
Under this research, limitation can be consider as negative aspects which negatively
affect the whole activities of the research. In addition of this, it is important duty of researcher to
control all the risk factors in order to improve the chances of attaining positive outcomes. In
current report, researcher various various limitation which is relate with cost and time. As a
result, investigator fails in completing the research in effective way (Groves and et. al., 2013).
Due to inappropriate time researcher does not gather relevant data from respondents. Thus, it is
important for researcher to reduce the limitation within the research which may leads in
improving the chances of attaining positive outcomes.
Time scale
It is one of important part of whole research which right path as well as direction to
researcher to effectively execute as well as operate all the activities in appropriate manner. Along
with this, researcher easily prepare valid time scale in order to complete entire activities in set
time frame. Mainly, it is type of bar chart which shows the fixed schedule work as per mentioned
time scale. In this, researcher set time according to the activities all these are as follows:
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S. no Task Name Time
Duration
Begin Finish Predecessor
1 Identify problem 3 Days
2 Literature
review
8 Days 1
3 Clarify issue 6 Days 1,2
4 Clearly explain
concepts and
terms
5 Days 2,3
5 Define
population
4 Days 4
6 Collecting data 10 Days 5
7 Analysing data 6 Days 6
8 Conclusion and
Recommendatio
n
4 Day 7
9 Submission of
report
1 Day 8
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CONCLUSION
From the above mentioned report, it has been summarised that concept of big data is
important for business organisation to execute all the activities for improving as well as
enhancing the overall performance level of the company. Along with this, big data will also
define all he information areas in which company increase their profitability level by evaluating
entire relevant data. In addition of this, by using big data manage of the company easily take
right decision which may leads in encouraging positive impact of the firm in an appropriate
manner.
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REFERENCES
Books and journals
Batty, M., 2013. "Big data, smart cities and city planning.". Dialogues in Human Geography 3,
no. 3 . 3(3). pp. 274-279.
Davenport, T. & Dyché, J., 2013. "Big data in big companies.". International Institute for
Analytics 3. 3(1).
Erevelles, S., Fukawa, N. & Swayne, L., 2016. "Big Data consumer analytics and the
transformation of marketing.". Journal of Business Research 69, no. 2 . 69(2). pp. 897-
904.
George, G., Haas, M. & Pentland, A., 2014. "Big data and management.". Academy of
management Journal 57, no. 2 . 57(2). pp. 321-326.
Groves, P. and et. al., 2013. "The ‘big data’revolution in healthcare.". McKinsey Quarterly 2.
2(1). p. 3.
Kitchin, R., 2014. "The real-time city? Big data and smart urbanism.". GeoJournal 79, no. 1.
79(1). pp. 1-14.
McAfee, A. B. and et. al., 2012. "Big data: the management revolution.". Harvard business
review 90, no. 10 . 90(10). pp. 60-68.
Moniruzzaman, A. & Hossain, S., 2013. "Nosql database: New era of databases for big data
analytics-classification, characteristics and comparison.". arXiv preprint
arXiv:1307.0191 . 1(1).
Picciano, A., 2012. "The evolution of big data and learning analytics in American higher
education.". Journal of Asynchronous Learning Networks 16, no. 3 . 16(3). pp. 9-20.
Provost, F. & Fawcett, T., 2013. "Data science and its relationship to big data and data-driven
decision making.". Big data 1, no. 1. 1(1). pp. 51-59.
Raghupathi, W. & Raghupathi, V., 2014. "Big data analytics in healthcare: promise and
potential.". Health information science and systems 2, no. 1. 2(1). p. 3.
Spiess, J. et al., 2014. "Using big data to improve customer experience and business
performance.". Bell Labs Technical Journal 18, no. 4 . 18(4). pp. 3-17.
Waller, M. & Fawcett, S., 2013. "Data science, predictive analytics, and big data: a revolution
that will transform supply chain design and management.". Journal of Business
Logistics 34, no. 2 . 34(2). pp. 77-84.
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Wamba, F. et al., 2015. "How ‘big data’can make big impact: Findings from a systematic review
and a longitudinal case study.". International Journal of Production Economics 165 .
165(1). pp. 234-246.
Online
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