Big Data Technology and Its Impact on Business Management

This report discusses the characteristics of big data, challenges in big data analytics, techniques to analyze big data, and how big data technology supports business management. It covers the scope of big data, its impact on business, and the challenges faced in analyzing big data. The report also explains the techniques available to analyze big data and how big data technology supports business management. The subject is BMP4005 Information Systems and Big Data Analysis.

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 data technology is based upon large set of data that is based upon large
set of data belonging which relates with different customers within business. This is
important for an business to develop big data technology which helps to make
business organization grow within particular market. An organization developing
good software helps upon handling operations based upon big data technology, The
report is based upon explanation over big data technology with its characteristics.
Scope of big data is wider as it tends to impact business and its functioning. Nature
is dynamic as it makes business operate with the help of data analysis. Further, this
report focus over different challenges that has been faced over analyzing big data
and its various techniques required in order to make analysis upon big data. In the
end project contains way within which big data technology has been supporting
business in more effective manner.
What big data is and the characteristics of big data
In modern world competition is high which makes big data technology has
become boom that has impacted IT industry on large scale. The example of Big Data
technology are Hadoop, Spark, NO-SQL, Hive and Cloud. These technologies and
software leads upon managing big data which is related to business. The big data
technology also relates with various factors like data management and data storage
that is required for business growth of business and helps in developing
synchronization of big data, There are mainly two types of big data technology which
makes operational and analysis with big data technology(Singh, 2019). There are
two kinds of big data technology which is based upon analyzing business technology
in more effective manner. The main work of IT department within an organization
makes analysis done with storing big data in an way to support organization
operations. Further, the main work of IT department within an organization is based
over analyzing and storing of big data which supports operations of an organization.
Big data technology has been helping over increasing level of safe operations that is
considered as an important step used for protecting data related to customers. As
per this success of organization within marketplace big data technology which plays
crucial role which makes large data managed in effective manner. This is essential
part of an organization which is based upon identification of big data technology
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which leads upon making success achieved by an organization within marketplace.
The main characteristics of big data technology that has been discussed as follows:
 Volume of data- In general case perspective approach has been handling
large amount of data which is used within an organization(Singh and El-
Kassar, 2019). Big data volume is large and number of consumers is always
high in case of multinational and national organizations. In order to handle
large volume of data an organization which is important for organization. This
make skills and trained employee is able to handle responsibility of business
by making skilled and trained employees.
 Variety of data- There are different part of data which is based upon
immense in relation over big data technology which is important to be
developed and includes various aspects of data technology that makes data
to be analyzed in more effective way. It is required to make sure that data has
been transferred in effective way. An organization through this is able to
completed tasks like financial management and business strategy
preparation.
 Velocity of data- It is considered as the speed of data through which it is
transferred from one source to another. In the recent times velocity of data is
managed by advanced software like HADOP HPCC in the business. It is very
much essential for a company to manage velocity of data consistently for long
term success of business.
The challenges of big data analytic
Big data technology within its application is based upon business which is
irreplaceable in nature most of organizations in recent time using big data
technology. This is important for business which leads upon focusing over big data
which creates long term satisfaction. In recent time challenges in relation over bigg
data has increased day by day which makes strong need to be developed upon
analyzing over customer management. In order to adopt challenges in relation to big
data analytic management should that developing capabilities over taking advice of
IT experts. The main challenges that is based upon big data analytic with
management over creating depth analysis with capabilities that has been taking
advice of IT experts. These challenges has been discussed as follows:
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 Data integration- In this management of big data technology is done with
integration that is related over various challenges faced by an organization.
The data integration has important role to play with management of data over
large resources. Researcher collects data over various resource that makes
responsibility taken for facilitating data integration. This is used for collecting
data over various sourced which has become responsibility researcher for
facilitating data integration.
 Data complexity- In order to handle data complexity it is essential for a
researcher to overcome several issues and practices (Singh, 2019). The data
is complex and rigid in many cases which makes hard for researcher to
handle data. Data complexity is a major challenge and it is ethical duty of IT
experts in a business to handle data complexity.
 Data security- The main issue and challenge in data handling and
maintenance is data security. It is major role and responsibility of
management to handle data security with major patience in order to manage
security of data. In the world of technology there are many attacks like
malware and spyware can impact whole data. It is important for researcher to
analyses and develop big data while keeping mind various security issues.
The techniques that are currently available to analyse big
data
The techniques available to analyses big data are mentioned below:
 Data mining- This is common tool used by an business organization which
makes handling of big data analytic done more effectively(Siyuan, 2018). The
data mining is able to extract patterns from large data setting over making
setting and combining methods through statistics and machine learning within
database management. There are various kinds of aspects which is based
upon learning with development.
 Machine learning- This is based over artificial intelligence, machine learning
which is based over dimensions of computer science and algorithm. The
machine learning provided over analyzing about various perspective.
 Statistics- These are those technologies which is based over process,
manage, and analysis data is entirely different with expensive field that is
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similar and develops over time. Through techniques and technology over size
data which is valuable in nature. Managing effectively host of business
product and market insights. This makes organization achieve its goals
effectively.
How Big Data technology could support business, an
explanation with examples
The current competitive environment is based over big data technology that
helps upon making business grow with faster and better pace helping in facilitating
organization making development possible with data customers(Tiwari, Wee and
Daryanto, 2018). This makes business organizations develop competitive advantage
helping upon making big data technology achieved. It has helps in supporting
business in following way which are as follows:
 Management of data- Big technology helps over management of data that
has been used for developing business in more effective way. Under big data
technology software and systems makes it easy for business over managing
large amount of data. The data has been managed by big data technology
which is based upon customer handling. For example Aston martin is an
multinational UK based car company that manages large amount of data
within various parts of glob helping in making big data technology.
 Privacy of data- The privacy of data which is important for an organization
making organization with customers by increasing there faith. For example
Astra Zeneca is required to maintain privacy data which is done through big
data analysis.
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CONCLUSION
From the above discussion it can be concluded that big data is large amount
of data which has been used by researcher of an organization. Through big data
technology researcher has been helped within management of data overlarge scale.
The projects is related over essential of researcher making challenges over come
with big data technology for dealing upon complex data. Through report importance
of big data technology and its applications has been marked out with faster and
quick operations.
Poster
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).
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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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