Big Data Analysis and Its Characteristics for Effective Business Operations

This report explains the characteristics of big data and its impact on IT industry. It covers the challenges and techniques for analyzing big data and how it supports business operations. The report also discusses the importance of data management and storage for growth and development of a business organization. Various techniques and methods of big data technology are explained along with the challenges faced in analyzing big data. The report concludes with the positive and negative impacts of big data technology on organizations.

Big data technology is called large set of data that
belongs to customers in an organization. It is important
for a business to keep and maintain big data technology
for growth and development in market. An organization
needs to have a developed good software for operations
and functions handling that are related to big data
technology. In this report big data technology as well as
its characteristics are explained. This report also
contains various challenges that are there in analysing
big data (Ahmed, Medhat and El Shishtawi, 2020).
Various techniques that are required and used and are
available to analyses big data are also explained within
this report. This project also discusses the various
methods and different ways of big data technology that
are there for supporting a business are also there.
In competitive world when the technology is increasing,
big data technology is developing and emerging and is
creating a huge impact and effect on IT industry. The
biggest examples of Big Data technology are Hadoop,
Spark, Hive and many other. Storing and management of
big data that are all related to business organization are
the main function of these technological software.
Assessment of different factors are main yet main
function of big data technology and these factors are data
management and data storage and these are very
important for growth and development of a business
organization and this also helps in developing
synchronization of big data. There are many big data
technologies and are mainly two types of big data
technologies and that are operational and analytical big
data technology. Analysis and storing of big data in a
very structured and formatted way or method is yet
another main work of IT department in an organization.
Big data technology also helps in increasing safe and
secured operations and functions that are important for an
organization for growth and development of big data
related operations and functions.
Information Systems and Big Data Analysis
INTRODUCTION Big data and its characteristics
The big data technology is yet another important stage that is required for
the protection and securing of all sensitive and crucial data and
information that is related to customers (Cai, et. al. 2018). Success of an
organization in market is also determined by big data technology which
plays a crucial role as it considers and gives priority to large and
unlimited data management in a systematic and precise manner.
Characteristics of big data
It is important for an organization to identify and know different
factors that are related with big data technology to grow and develop and
also to accomplish success in the market. The characteristics of big data
technology are as follows:
Volume of data- It is important for an organization to have and to
develop precise and systematic approach in handling and maintaining
large amount of data of its customers. The volume of big data is large and
number of consumers are always unlimited and too much high in
multinational and national business organizations. For handling of these
large volume of data and information that is very important for an
organization, the responsibility of this lies with the highly trained and
skilled professionals.
Variety of data- The variety of data is numerous and immensely large in
big data technology, and it is very important to maintain this big data in a
very effective and efficient manner. For transferring of data in a very
systematic and précised way, it is important to make sure that
organization performs various tasks like management of finance and also
preparation of different business strategies (Chen, Ramanathan and
Alazab, 2021).

Techniques that are currently
available to analyse big data
Big Data technology could support
business
Challenges of big data analytic
Big data is application which is used by management to
managing and store important data of their
organization. Due to advancement of technology the
organization of management adopt this technology in
their organization because they have to keep their
organization up to date but as much as technology
used by organization then their risk is also increased
that if application is misused by anyone in organization
then it will create problem for the organization and
sometime due to technical error the data will be
removed and they can't backup their data. This is will
create a very big problem for the organization of
management that they will have to face many problems
because they lost all their important data. This problem
is tackle by It experts that they have to solve this
problem so that it will not affect the organization
(Gokulkumari, 2020). The primary challenges which
management of an organization have to face in Big
Data analytics are mentioned below in brief:
The techniques which organization have to analyse
when they have to store big data in organization are
discussed below in brief:
Data Mining: This a common tool which is used by
organization to handle big data analytics. The data mind
set the and extract pattern which is used for large data
set for combining method from their statistics and
machine learning with their data base management
(Poltavtseva and Kalinin, 2019).
Machine Learning: In this Artificial Intelligence (AI)
is involved in organization by management to deal with
various activity of the organization and this is very
effective for organization and this mainly related with
their different dimensions of computer science and
algorithms.
Statistics: The technologies which is process, manage
and analyse entirely data of organization by different
and expansive field, that similarly involves and
developed them over time. Techniques and technology
aside any form or size of data is valuable and it managed
accurately.
In this current competitive environment, the big data technology helps
a business to grow at rapidly speed by assist organization in handling
precise data of customers. Many business organisations can develop
competitive advantage with the help of big data technology. In this
there are different factors which help management to analyse the big
data technology which are discussed in brief below:
Management of Data: The management of data help organization to
make their data more useful and in systematic way. This application
and advancement of technology it become easy for organization
management to handle and store large amount of data in organization
easily. For example, Morris Garages is a multinational UK based car
company which precisely manages large amount of data in different
parts of globe with the help of big data technology.
Privacy of data: The privacy of data is primary concern for the
organization that they have to keep assure that data must keep safe
and private from public and this will not misuse by public for
example Astra Zeneca which is a British multinational
pharmaceutical company maintains privacy of data with the help of
big data technology (Shi, et. al. 2020).
Customer engagement: In organization the customer is very
important factor so management have to keep their customer satisfy
and they have responsibility that manage all data of customer details
in sequence. For example, Tesco which is a British multinational
retail company achieves customer engagement and satisfaction with
the help of big data technology.

CONCLUSION
In this report it concludes that how big data is affect the organization. The big data conclude the technology based
application which is used by management of organization. This have both positive and negative impact in organization. Due to
advancement of technology it becomes easy for organization to handle and arrange and recied data in a systematic way. This
will help organization get useful data from it and it have negative impact that this applicationis not secure because there data will
be misused by third party and IT companies have to make alternate solution for this so that there data mustbe secure because in
this all important data of organization is stored.
References
Books and Journals
Ahmed, Y., Medhat, W. and El Shishtawi, T., 2020. A Framework for Managing Big Data in Enterprise Organizations. International Journal of Sociotechnology and Knowledge
Development (IJSKD), 12(1), pp.84-97.
Cai, Q., Zhang, H., Guo, W., Chen, G., Ooi, B.C., Tan, K.L. and Wong, W.F., 2018. Memepic: Towards a unified in-memory big data management system. IEEE Transactions on
Big Data, 5(1), pp.4-17.
Chen, J., Ramanathan, L. and Alazab, M., 2021. Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart
cities. Microprocessors and Microsystems, 81, p.103722.
Gokulkumari, G., 2020. An overview of Big Data Management and its applications. Journal of Networking and Communication Systems, 3(3), pp.11-20.
Inibhunu, C. and McGregor, C., 2021, March. Privacy Preserving Framework for Big Data Management in Smart Buildings. In 2021 IEEE International Conference on Pervasive
Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 667-673). IEEE.
Peng, Q. and Ye, X., 2021. Research trends in social media/big data with the emphasis on data collection and data management: A bibliometric analysis. Empowering Human
Dynamics Research with Social Media and Geospatial Data Analytics, pp.47-63.
Poltavtseva, M.A. and Kalinin, M.O., 2019. Modeling big data management systems in information security. Automatic Control and Computer Sciences, 53(8), pp.895-902.
Shi, M., Jiang, R., Hu, X. and Shang, J., 2020. A privacy protection method for health care big data management based on risk access control. Health care management science, 23(3),
pp.427-442