Big Data Technology and Its Application in Business Management

This article discusses the characteristics of big data, challenges of big data analytics, techniques to analyze big data, and how big data technology can support business management. It includes a poster and accompanying paper on Information Systems and Big Data Analysis. The paper covers the traits of big data technology, challenges in big data analytics, techniques to analyze big data, and how big data technology can support business management.

Business Management
BMP4005
Information Systems and Big Data
Analysis
Poster and Accompanying Paper
Submitted by:
Name:
ID:
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Contents
Introduction p
What big data is and the characteristics of big data p
The challenges of big data analytics p
The techniques that are currently available to analyse big data
p
How Big Data technology could support business, an explanation
with examples p
Poster p
References p
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Introduction
Big facts generation method the ones set of facts that is used for forming massive
consumer primarily based totally for an enterprise corporation. This is crucial to increase
enterprise for retaining massive facts generation for developing marketplace. The
corporation has to increase top software program enables upon coping with important
operations associated over massive facts generation. The document is associated upon
making particular utility with traits of massive facts generation as consistent with boom of
marketplace. The corporation calls for for growing top software program supporting upon
coping with operations primarily based totally over massive facts generation. Further, the
document relates with particular clarification of massive facts generation and its traits has
been defined. Also the document relates with clarification upon diverse demanding
situations effecting enterprise evaluation of massive facts and its diverse strategies so as
to investigate it. The challenge is primarily based totally upon massive facts generation
that helps enterprise greater effectively.
What big data is and the characteristics of big data
In cutting-edge global of aggressive benefit large generation has been used
as rising growth for developing effect over IT industry. The instance of Big Data
generation are Hadoop, Spark, NO-SQL, Hive and Cloud. These are the ones
technological software program that leads upon handling large information primarily
based totally over commercial enterprise which makes improvement achieved via
synchronizing of large information. This leads upon assessing various factors like
information control and information garage that is used for for increase of commercial
enterprise making it beautify operations extra efficiently. There are specially sorts of
large information generation that is used for operational and analytic making large
information generation covers paintings achieved through IT branch inside an
employer(Liu, 2018). The most important paintings of IT branch in an employer
makes evaluation achieved through storing large information in unique way for
helping organizational operations. Big information generation has helped upon
dealing with operations extra efficiently increasing stage of secure operations which
can be vital for commercial enterprise to increase large information primarily based
totally on operations. The large information generation is primarily based totally over
predominant steps this is required for protective information generation associated
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with predominant steps used for making information circulated this is associated with
customers. This achievement of an employer inside market large information
generation play vital position giving precedence over big information control in
powerful way.
This is an essential for an employer that is used for figuring out various
factors that is primarily based totally upon elements associated over large
information generation making order carried out with achievement in market. The
predominant traits of large information generation has been mentioned as follows:
• Volume of information- In fashionable case attitude is primarily based totally upon
necessities of an employer making improvement achieved in powerful way dealing
with method over big quantity of information(Singh, 2019). Big information quantity is
primarily based totally upon big quantity of patron that is usually excessive in case of
firm and countrywide employer. This leads in the direction of dealing with big quantity
of information making vital of an employer maintain obligation of commercial
enterprise supporting in hiring abilties and schooling personnel efficiently.
• Variety of information- The type of information is vast in relation over large
information generation this is used over keeping views extra efficiently this is
primarily based totally upon classes primarily based totally upon information. In order
to make certain that the type of information is transferred in a unique way, a
enterprise has to do numerous responsibilities like monetary control and commercial
enterprise method preparation.
• Velocity of information- It is taken into consideration as the rate of information via
which it's miles transferred from one supply to another. In the latest instances speed
of information is controlled through superior software program like HADOP HPCC
withinside the commercial enterprise. It could be very a good deal vital for a
enterprise to manipulate speed of information continuously for long time achievement
of commercial enterprise.
The challenges of big data analytic
Big records era is primarily based totally upon packages making enterprise
irreplaceable in nature. The companies in current time has been the usage of huge
records era(Singh, and El-Kassar, 2019). This is critical for enterprise that is
centered over huge records a good way to create long time pleasure to its clients. In
current instances demanding situations are primarily based totally over huge records
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that has been growing each day which makes string desires of records evaluation
rise up over dealing with clients records. In order to address demanding situations
over huge records evaluation the control is needed to make demise evaluation viable
upon competencies through taking recommendation of IT professionals. The
demanding situations associated with huge records analytic has been mentioned as
follows:
• Data integration- The control of huge records era is primarily based totally upon
interrogation primarily based totally upon most important demanding situations. The
records integration is associated as most important venture. Data integration has
critical position to play over dealing with records from huge range of reassets. The
researcher has been gathered records over exceptional reassets which makes duty
over studies for facilitating records integration.
• Data complexity- In order to deal with records complexity that is primarily based
totally upon studies making assisting in overlaying numerous problems and
practices. The records preserving complexity is inflexible in numerous instances
making tough for researcher over managing records. Data complexity is an most
important venture associated over moral responsibility of IT professionals making
records complexity dealt with greater efficaciously for an enterprise organization.
• Data safety- The primary difficulty and venture in records managing and
preservation is records safety. It is most important position and duty of control to deal
with records safety with most important endurance a good way to manipulate safety
of records. In the sector of era there are numerous assaults like malware and
adware can effect complete records. It is critical for researcher to analyses and
increase huge records whilst maintaining thoughts numerous safety problems.
The techniques that are currently available to analyze big data
The techniques available to analyses big data are mentioned below:
 Data mining- The records mining is not unusual place device this is utilized by
enterprise for coping with huge records analytic (Siyuan, 2018). Through records
mining extracting styles massive records placing combining strategies over
information and system gaining knowledge of with database management.
 Machine gaining knowledge of- The message is primarily based totally over the
use of synthetic intelligence and system gaining knowledge of that is primarily
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based totally upon dimensions pc technological know-how and algorithm. The
system gaining knowledge of has been presenting diverse sorts of components
making product shooting viable inside marketplace.
 Statistics- The technology method process, handling and studying records over
making high priced views advanced over growing upon time. Techniques and
technology that is primarily based totally upon length of records that holds fee for
an organization. Managing accuracy in greater powerful manner thru web website
hosting enterprise, product and marketplace insights.
How Big Data technology could support business, an
explanation with examples
In the modern-day aggressive surroundings massive statistics era allows upon
making commercial enterprise develop with quicker pace. This leads over facilitating an
business enterprise makes an business enterprise take care of unique statistics of
clients. There are numerous commercial enterprise business enterprise making
aggressive benefit evolved upon supporting in making massive statistics era reap
dreams of an business enterprise. The massive statistics era has been supporting over
assisting commercial enterprise with assist of assisting commercial enterprise as in line
with following factors:
• Management of statistics- Big statistics era has helped over coping with statistics
that's used for commercial enterprise to be done in systematic way. In massive statistics
era strengthen software program and structures makes it smooth for commercial
enterprise upon coping with huge quantity of statistics. The statistics has helped in
coping with massive statistics era that's to be had for commercial enterprise over long
term supporting purchaser take care of numerous components greater effectively. For
instance Morris Garages inside multinational UK primarily based totally automobile
organisation on worldwide scale.
• Privacy of statistics- The privateness of statistics is critical for an business enterprise
making clients increase foremost experience executed. Through this utility of massive
statistics era play position commercial enterprise improvement over retaining privateness
inside statistics of clients(Tiwari, Wee and Daryanto, 2018). For instance Astra Zeneca
that's a British multinational pharmaceutical organisation keeps privateness of statistics
with the assist of massive statistics era.
• Customer engagement- The purchaser engagement makes facilitation of massive
statistics era supporting synchronization of statistics greater effectively. It makes
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commercial enterprise control performed via purchaser engagement that's precedence of
purchaser pride making purchaser increase believe in an business enterprise. Tesco is
an British multinational retail business enterprise making clients engagement viable over
massive statistics era.
• Business improvement and growth- In the marketplace success of commercial
enterprise dreams and goals makes goal executed for each commercial enterprise
business enterprise. This makes massive statistics era set upon duration of time.
Example, Amazon that's an American e-trade business enterprise which makes goals
executed over massive statistics era inside worldwide marketplace.
CONCLUSION
From the above dialogue it is able to be marked out that records is having
huge quantity of records that's primarily based totally over customers making studies
viable inside an organization. The massive records era makes large quantity of
records controlled in suitable manner right era is needed for use in greater powerful
manner. The record is primarily based totally upon significance of massive records
era making utility of commercial enterprise quicker and short inside operations.
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References
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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