BSc (Hons) Business Management: Data Systems and Big Data Analysis

This report provides a comprehensive analysis of big data and its impact on business management. It begins by defining big data and outlining its key characteristics: volume, variety, and velocity. The report then delves into the challenges of big data analytics, including data integration, comple...Read More

BSc (Hons) Business Management
BMP4005
data Systems and Big Data Analysis
Poster and Accompanying Paper
Submitted by:
Name:
ID:
1

Introduction...............................................................................................................................3
What big data is and the characteristics of big data...............................................3
The challenges of big data analytics...........................................................................4
The techniques that are currently available to analyses big data......................5
How Big Data technology could support business, an explanation with
examples..............................................................................................................................5
CONCLUSION..............................................................................................................................7
REFRENCES...........................................................................................................................8
Define Big Data with its characteristics..................................................................................9
Poster........................................................................................................................................9
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Introduction
Big data generation is taken into consideration as bigset of data belonging to
specific clients in a enterprise. It is critical and obligatory for a enterprise to keep
large data generation if you want to develop at marketplace. A agency has to expand
desirable software program for dealing with predominant operations associated with
large data generation. In this file there may be a particular rationalization of large
data generation along side its characteristics. This file consists of rationalization of
numerous demanding challenges which are powerful in analyzing large data and
numerous strategies to be had to examine large data. This mission additionally
consists of the manner wherein large data generation can assist a enterprise.
What big data is and the characteristics of big data
In this modern era big data analysis has lead towards developing organizations that
has been impacting growth of IT industry. The most effective tools which are used
within big data analysis are Hadoop, Spark, NO-SQL, Hive and Cloud. The
technology and software used within big data leads towards facilitating and handling
big data which is related to business organizations. In modern era of technology big
data has played important role which has provided critical perspective related to data
analysis. There are various kinds of big data technology which is used for making
operations over data analysis done more effectively. It has been benefiting
organization by creating ease within workplace environment. Thus big data analysis
create more effective operations leading towards success of an organization(Liu,
2018). Big data analysis has made operations to be conducted in secured manner
that makes enterprises perform operations with better stability. The big data analysis
has played important role within modern business operations which makes functions
to be conducted by fulfilling needs of employees and customers. This has played
important role in preceding control upon business operations taking place for
organization. Business organization through big data analysis is able to achieve
goals and objectives.
Characteristics of big data
This is an important part of organization which is based over various factors
that is related to big data generation makes various aspects within an organization
accomplished more effectively. The principles traits of big data generation has been
explained as follows:
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 Volume of facts- In famous case related scenario, it is critical for a enterprise
to boom precise technique in dealing with big amount of facts. Big facts
volume is big and extensive type of clients is continuously immoderate in case
of status quo and country wide companies(Singh, 2019). In order to address
big volume of facts it's critical for a enterprise it is important obligation of a
industrial organization to rent expert and professional employees.
 Variety of facts- The shape of facts is giant in case of huge facts technology
it's critical to be maintained in an effective manner it includes lessons of facts .
In order to make certain that the shape of facts is transferred in a completely
unique manner, a enterprise has to do several duties like financial manage
and industrial organization technique preparation.
 Velocity of facts- It is considered as the speed of facts via way of means of
which it is transferred from one deliver to another. In the brand new times
tempo of facts is managed via advanced software program software like
HADOP HPCC inside the industrial organization. It can be very masses
critical for a enterprise to control tempo of facts constantly for long term
success of industrial organization.
The challenges of big data analytics
Big information era and its software in a business corporation is irreplaceable
in nature, most of the businesses in recent times use large information era. It is
important for a business corporation to interest on large information for long term
customer satisfaction. There are diverse components which makes demanding
situations evolved upon figuring out approximately utilization of large information
analysis(Singh and El-Kassar, 2019). In order to cope with worrying demanding
situations related to large information analytics the manipulate should create an
intensive assessment of capabilities via way of means of manner of method of taking
advice of IT professionals. The maximum vital worrying demanding situations in
large information analytics are mentioned below:
 Data integration- This is primarily based totally upon controlling of big data
which might be generated via integration is primary components inside an
organization. These information has vital function to play over duties of
researcher referring to with information integration.
 Data complexity- In order to address information complexity it is important for
a researcher to conquer several issues and practice. Data complexity is an
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vital angle that's primarily based totally over ethical and powerful duties
making organization address information and their management.
 Data safety- The maximum vital hassle and venture in information managing
and preservation is information safety. It is predominant characteristic and
responsibility of manipulate to address information safety with predominant
staying strength at the manner to govern safety of records. In the arena of era
there are various attacks like malware and spyware can impact whole
records. It is important for researcher to take a look at and expand large
information on the equal time as preserving mind numerous safety issues.
The techniques that are currently available to analyses big data
The strategies to be had to examine bigdata are cited below:
 Data mining- The data mining is not related to using of device by an
organization which makes dealing of big data more effectively(Siyuan, 2018).
As per data mining is used for extracting styles from big data and combining
techniques of data and device which makes database to become more
effective in nature.
 Machine getting to know- The aspect is related to artificial intelligence and
device which is especially associated over scale of technology and algorithms
related to it. The device is based upon affording and evaluating of various
kinds of aspects which are diverse.
 Statistics- This is that technology which is used for process, control, and
examine of data which are used by an organization for evolving its operations
from time to time. These techniques and technology has made shaping of
valuable data possible. Further, technology and techniques makes data more
valuable in nature for displaying of products and services provided by an
organization.
How Big Data technology could support business, an explanation
with examples
As per the modern competitive environment big data technology has helped
business to grow in more effective manner which leads towards paving way for an
organization to handle various kinds of data which is related to customers. Under
various business organization development of competitive edge has been attained
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with the help of big data technology. The big data technology has helped in providing
support to business through its various factors which are discussed as follows:
 Management of facts- Big facts era has helped in handling numerous facts
this is utilized by an commercial enterprise businesses in powerful manner.
Under large facts era utilization of increase software program and structures
which makes it smooth for commercial enterprise to control massive facts
greater effectively. The facts has helped in managing clients. For example,
Morris Garages is an multinational vehicle agency located in UK. They are
capable of control massive quantity of facts inside numerous elements of
globe via the use of large facts era.
 Privacy of facts- The privateness of facts is an very critical for businesses
and its clients in simplest sense. Under it utility of large facts era has critical
position to play inside commercial enterprise boom and improvement as they
allows in keeping privateness of facts concerning its clients(Tiwari, Wee and
Daryanto, 2018). This is primarily based totally upon growing religion of clients
which keeps privateness of massive quantity of facts. For example, Astra
Zeneca is an British multinational pharmaceutical agency which has lead
closer to keeping of facts via large facts era.
 Customer engagement- The customer's engagement is facilitated via large
facts era which has helped in growing synchronization of facts. This is critical
obligation of It branch inside commercial enterprise which manages facts with
higher structure. Customers engagement is one of the priorities this is upheld
with the aid of using an commercial enterprise agency. For example
Sainsbury this is an retail agency makes clients obtain engagement and pride
via large facts era.
 Business improvement and boom- In the marketplace success of
commercial enterprise dreams and goal is the primary standards of an
commercial enterprise agency that leads over achievement of commercial
enterprise agency. This is viable with the aid of using the use of large facts
era which makes commercial enterprise obtain those objectives inside set
time period. Example, Amazon is an American e-trade agency which makes
gamer obtain essential objectives with the assist of large facts era inside
global marketplace.
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CONCLUSION
From the dialogue it is able to be concluded that huge facts approach huge
quantity of facts which has been utilized by researchers of an company. Through
huge facts generation an company is capable of manipulate big facts via way of
means of making use of generation and methods. Further, the assignment relates
with vital concerning researcher which makes demanding situations related to huge
facts solved extra effectively. Through the file it is able to be marked out that huge
facts generation offers upon complexities which exists inside an company
concerning its facts series has been discussed.
7

REFRENCES
Books and Journals
Choi, T.M., Wallace, S.W. and Wang, Y., 2018. Big data analytics in operations
management. Production and Operations Management, 27(10), pp.1868-
1883.
Du, G., Liu, Z. and Lu, H., 2021. Application of innovative risk early warning mode
under big data technology in Internet credit financial risk
assessment. Journal of Computational and Applied Mathematics, 386,
p.113260.
Liu, Y., 2018, January. Big data technology and its analysis of application in urban
intelligent transportation system. In 2018 International Conference on
Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 17-19). IEEE.
Singh, N., 2019. Big data technology: developments in current research and
emerging landscape. Enterprise Information Systems, 13(6), pp.801-831.
Singh, S.K. and El-Kassar, A.N., 2019. Role of big data analytics in developing
sustainable capabilities. Journal of cleaner production, 213, pp.1264-1273.
Siyuan, F.E.I., 2018, January. Overview of application of big data technology in
power distribution system. In Proceedings of the CSEE (Vol. 38, No. 1, pp.
85-96).
Tiwari, S., Wee, H.M. and Daryanto, Y., 2018. Big data analytics in supply chain
management between 2010 and 2016: Insights to industries. Computers &
Industrial Engineering, 115, pp.319-330.
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Poster
9
Information System and Big Data
Analysis
INTRODUCTION
Big data generation is taken into consideration as bigset of data belonging to specific clients in a enterprise. It is
critical and obligatory for a enterprise to keep large data generation if you want to develop at marketplace. A agency
has to expand desirable software program for dealing with predominant operations associated with large data
generation. In this file there may be a particular rationalization of large data generation along side its characteristics.
This file consists of rationalization of numerous demanding challenges which are powerful in analyzing large data
and numerous strategies to be had to examine large data. This mission additionally consists of the manner wherein
large data generation can assist a enterprise.
Define Big Data with its characteristics
In this modern era big data analysis has lead towards developing organizations that has been impacting growth of IT
industry. The most effective tools which are used within big data analysis are Hadoop, Spark, NO-SQL, Hive and
Cloud. The technology and software used within big data leads towards facilitating and handling big data which is
related to business organizations. In modern era of technology big data has played important role which has
provided critical perspective related to data analysis.

10
There are various kinds of big data technology which is used for making operations over data analysis done more
effectively. It has been benefiting organization by creating ease within workplace environment. Thus big data
analysis create more effective operations leading towards success of an organization(Liu, 2018). Big data analysis
has made operations to be conducted in secured manner that makes enterprises perform operations with better
stability. The big data analysis has played important role within modern business operations which makes functions
to be conducted by fulfilling needs of employees and customers. This has played important role in preceding control
upon business operations taking place for organization. Business organization through big data analysis is able to
achieve goals and objectives.
Characteristics of big data
This is an important part of organization which is based over various factors that is related to big data
generation makes various aspects within an organization accomplished more effectively. The principles traits of big
data generation has been explained as follows:
 Data complexity- In order to address information complexity it is important for a researcher to conquer
several issues and practice. Data complexity is an vital angle that's primarily based totally over ethical and
powerful duties making organization address information and their management.
 Data safety- The maximum vital hassle and venture in information managing and preservation is
information safety. It is predominant characteristic and responsibility of manipulate to address information
safety with predominant staying strength at the manner to govern safety of records. In the arena of era there
are various attacks like malware and spyware can impact whole records. It is important for researcher to take
a look at and expand large information on the equal time as preserving mind numerous safety issues.
 Statistics- This is that technology which is used for process, control, and examine of data which are used by
an organization for evolving its operations from time to time. These techniques and technology has made
shaping of valuable data possible. Further, technology and techniques makes data more valuable in nature for
displaying of products and services provided by an organization.

11
As per the modern competitive environment big data technology has helped business to grow in more effective
manner which leads towards paving way for an organization to handle various kinds of data which is related to
customers. Under various business organization development of competitive edge has been attained with the help
of big data technology. The big data technology has helped in providing support to business through its various
factors which are discussed as follows:
 Management of facts- Big facts era has helped in handling numerous facts this is utilized by an
commercial enterprise businesses in powerful manner. Under large facts era utilization of increase
software program and structures which makes it smooth for commercial enterprise to control massive
facts greater effectively. The facts has helped in managing clients. For example, Morris Garages is an
multinational vehicle agency located in UK. They are capable of control massive quantity of facts inside
numerous elements of globe via the use of large facts era.
 Privacy of facts- The privateness of facts is an very critical for businesses and its clients in simplest
sense. Under it utility of large facts era has critical position to play inside commercial enterprise boom
and improvement as they allows in keeping privateness of facts concerning its clients(Tiwari, Wee and
Daryanto, 2018). This is primarily based totally upon growing religion of clients which keeps privateness
of massive quantity of facts. For example, Astra Zeneca is an British multinational pharmaceutical agency
which has lead closer to keeping of facts via large facts era.
 Customer engagement- The customer's engagement is facilitated via large facts era which has helped in
growing synchronization of facts. This is critical obligation of It branch inside commercial enterprise
which manages facts with higher structure. Customers engagement is one of the priorities this is upheld
with the aid of using an commercial enterprise agency. For example Sainsbury this is an retail agency
makes clients obtain engagement and pride via large facts era.
 Business improvement and boom- In the marketplace success of commercial enterprise dreams and goal
is the primary standards of an commercial enterprise agency that leads over achievement of commercial
enterprise agency. This is viable with the aid of using the use of large facts era which makes commercial

12
CONCLUSION
From the dialogue it is able to be concluded that huge facts approach huge quantity of
facts which has been utilized by researchers of an company. Through huge facts generation an
company is capable of manipulate big facts via way of means of making use of generation and
methods. Further, the assignment relates with vital concerning researcher which makes
demanding situations related to huge facts solved extra effectively. Through the file it is able to
be marked out that huge facts generation offers upon complexities which exists inside an
company concerning its facts series has been discussed.