Information Systems and Big Data: Analysis, Techniques & Business Use

This report provides a comprehensive overview of big data analysis, covering its characteristics, challenges, and techniques. It highlights the importance of big data in modern business, focusing on data mining and machine learning as key analytical methods. The report addresses critical issues such as data security and complexity, emphasizing the need for expert IT management. Furthermore, it explains how big data technology supports business growth by improving data management and enhancing data privacy. Real-world examples, like Tesla's use of big data, illustrate the practical applications of these concepts. The conclusion reinforces the value of big data for researchers and businesses, emphasizing its role in informed decision-making and strategic development. Desklib provides access to this and other solved assignments.

Information Systems and
Big Data Analysis
Table of Contents

INTRODUCTION...........................................................................................................................3
TASK...............................................................................................................................................3
What big data is and the characteristics of big data...............................................................3
Characteristics of big data......................................................................................................4
The challenges of big data analytics.......................................................................................4
The techniques that are currently available to analyse big data............................................5
How Big Data technology could support business, an explanation with examples...............5
Poster......................................................................................................................................6
CONCLUSION................................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Big data is known as one of the largest element of the data that means to the diverse customers
in the company. It is very crucial as well as necessary for the organization in order to maintain
their big data analysis which concerns the growth as well as development in the market share of
the organization. In addition to it, the commercial business requires to make effectual software
which is operated for the monitoring the operations as well as functions of the company which
are linked to the techniques of big data. The following report will cover about the brief
explanation of techniques of the big data as well as with their attributes. Moreover to this, it will
also include the brief explanation of various issues which are efficient in evaluating the analytics
of the big data. Furthermore it will also include the way by which techniques of big data will
assist the organization in expanding and growing.
TASK
What big data is and the characteristics of big data
Big Data
In today’s current dynamic as well as competitive environment technology of big data is
developing in order to create an effectual impact on the information technology industry for the
long period of the time. Spark, cloud, hive and Hadoop Are known to be several examples of the
technique of big data. Several technological Software will assist the organization as well as
maintaining the big data which are totally linked to the growth of the company. In addition to
this the technique of the big data also includes the categorization of various elements which
maintains the management of data as well as storage of the data which are effective for the
growth as well as success of the organization and also makes The synchronization of the big
data. This will totally depend on the operations of the division of information technology in the
organization in order to analyse as well as see the big data in libro pitwae in accordance to assess
the functions of the organization. Moreover to this, in increasing the elements of protecting the
several data and practices which are crucial for the organization in order to make the big data.
Also the bigdata method is known to be one of the fundamental element which is essential for
protecting very crucial information of the organization that is linked to the data of customers.
Additionally the management can also attain more growth as well as success in the area of the

market with the assistance of the bigdata technique which has the very effective as well as
crucial part in providing the large element of data in the effective as well as efficient way.
Characteristics of big data
As the commercial businesses requires to examine various elements which are associated with
the techniques of the big data which are described below in brief.
 The volume of data - In the very wide element the commercial business is required to
make the effective technique in managing the large element of the data. The volume of
the big data is very large and it has the terrific quantity of the customers that are high in
the element of national as well as international business. By concerning the maintaining
The volume which is very large of the data which are also crucial for the organization in
order to manage the obligations of the company in order to higher employees who are
experience as well as and also talented in their field. Variety of data - This is broad in accordance to the techniques of the big data which is
crucial in order to be maintain in the effective as well as efficient manner. This also
includes several type of the ideas of the info of the organization. In reference to making
sure that the range of various data will be get transferred more efficiently as well as
effectively. The commercial business requires to operate various functions such as
making the strategies of the management as well as attaining financial outputs.
The challenges of big data analytics
In order to manage the problems which are associated to the analytics of the big data the
commercial businesses must make and conduct several in depth research of capabilities by
asking for the suggestion from the experts of information technology. The common problems in
the analytics of the big data are described below in brief.
 Data security - In the commercial element of the technique of big data protection of the
information or data is known to be one of the major issue for the big data analytics.
Security of the data has the very crucial part in managing as well as protecting it from the
broad elements of the sources. In addition to it the researcher collects the data as well as
information from several various areas as well as this is one of the most fundamental rule
of the researcher in order to offer the security of data to their clients.
 Data complexity - In accordance to manage the complexity of the data this is very
crucial for the researcher in order to minimise the impact of issues as well as barriers.

The data is not flexible as well as analyzable in the range of section which makes it very
difficult for the researcher in order to manage the data effectively as well as efficiently.
This will majorly linked to the one of the major problem because off it’s general as well
as ethical element of operation by the experts of information technology in the
organization in order to monitor the complexity of the data.
The techniques that are currently available to analyse big data
 Data mining - Mining of data is one of the frequent method which is used by the
business in order to maintain the analytics of big data. The big data mining carries out
several elements from the bigger combination of data. This also combines the methods
from machine learning as well as statistics in the department of the business.
 Machine learning – This is linked to the content which is majorly associated with the
artificial intelligence and machine learning which is commonly associated with the idea
of algorithm program and computer science. This also provides various evaluation which
is entirely based on various orientation.
How Big Data technology could support business, an explanation with examples
In the current competitive condition of the organization the method of the Big data assist the
organization in order to grow and attain success appropriately by providing the organization in
maintaining the consumer data from the past. The technique of big data will assist in maintaining
the management Which concerns the elements that are mentioned below briefly- Management of data – The technology assist in maintaining the data which provide the
company in the effective as well as efficient manner. This also assist in maintaining the
customers more efficiently and effectively. As in Tesla is the multinational brand from
the United Kingdom which deals in selling car that utilizes the broad element in the
different areas with the assistance of methods of big data. Privacy of data – This is crucial for the consumers as well as for the business in the
business and market share. This will increase the values for the customers by maintaining
the security of the privacy of the enhanced and larger quantity of the data.

CONCLUSION
From the above report it has been concluded that the big data is a broad element of the users of
data which is very supportive as well as helpful for the researcher and also for the business. In
addition to it the big data method also assist the researcher in managing the increased number of
the data which is conveniently usable and also effective method. The researcher also includes the
efficient as well as effective element in order to minimise the impact of issues and challenges
which are associated to the techniques of big data in accordance to deal with several complexity.
in addition to it this also includes the importance of the technique of big data as well as its
implication in the organization for effective operation and functioning.

REFERENCES
Books and Journals
Saggi, M.K. and Jain, S., 2018. A survey towards an integration of big data analytics to big
insights for value-creation. Information Processing & Management, 54(5), pp.758-790.
Qi, C.C., 2020. Big data management in the mining industry. International Journal of Minerals,
Metallurgy and Materials, 27(2), pp.131-139.
Marino, C.A. and Marufuzzaman, M., 2020. A microgrid energy management system based on
chance-constrained stochastic optimization and big data analytics. Computers &
Industrial Engineering, 143, p.106392.
Pham, C.T.A., Magistretti, S. and Dell’Era, C., 2021. The role of design thinking in Big Data
innovations. Innovation, pp.1-24.
Yoffe, H., Plaut, P. and Grobman, Y.J., 2022. Towards sustainability evaluation of urban
landscapes using big data: a case study of Israel’s architecture, engineering and
construction industry. Landscape Research, 47(1), pp.49-67.
Gupta, D. and Rani, R., 2018. Big data framework for zero-day malware detection. Cybernetics
and Systems, 49(2), pp.103-121.
Bennett, A., 2021. Autonomous vehicle driving algorithms and smart mobility technologies in
big data-driven transportation planning and engineering. Contemporary Readings in
Law and Social Justice, 13(1), pp.20-29.
Chenthara, S., Wang, H. and Ahmed, K., 2018. Security and privacy in big data
environment. Journal: Encyclopedia of Big Data Technologies, pp.1-9.