Information Systems and Big Data Analysis: Techniques and Applications

This report provides an overview of big data analysis within information systems, discussing the characteristics of big data, including variety and velocity, and the challenges associated with its analysis, such as data security and maintaining data quality. It explores techniques like data mining and machine learning currently used to analyze big data. The report also examines how big data technology can support business by improving data management and ensuring data privacy. It concludes that big data techniques are crucial for managing large datasets, minimizing problems, and enabling effective business operations. This document is available on Desklib, a platform offering a wide range of study resources including past papers and 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...........................................................................................................3
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
CONCLUSION ...............................................................................................................................6
REFERENCES................................................................................................................................8

INTRODUCTION
Big data technology is known as the bigger element of the data in order to divert the customers in
the company. This is very crucial and necessary for the organization in order to maintain their
have analytics or big data as well as functions which are linked to the techniques of the big data
(Venkatraman, and Venkatraman, 2019). The following report will cover about brief introduction
of the big data techniques as well as with its characteristics. In addition to it it will also include
regarding the evaluation of various problems and issues which are encountered by the
management and also efficient in evaluating the analytics of big data. It will also cover out the
way by which techniques of big data will support the organization.
TASK
What big data is and the characteristics of big data
Big Data
In the current scenario of the competition technology of big data is attaining more evolution in
order to develop the efficient as well as effective impact on the sector of information technology.
The technique of big data also includes the separation of various elements which maintains the
management of data as well as storage of data that are effectual for the growth of the
organization and makes more synchronization of the big data (Agrawal, 2020). There are 2 kind
of the techniques of big data which are functional as well as analytical techniques of big data.
This will actually depends on the performance of the division of information technology in the
organization in order to evaluate as well as storing the big data in the effective way in
accordance to support the functions of the management. In addition to it big data also provide
assistance to the organization in increasing the element of secure practices which are essential for
the organization in order to Make the big data. The technique of big data is known as the basic
element which is very crucial for protecting the information which is very critical and it is also
associated to the customers. Moreover to this the company can attain more growth as well as
success in the area of the market through the systems of big data technique which has the very
crucial and effective part by representing the large element of data in the efficient and effective
way. (Saggi, and Jain, 2018)

Characteristics of big data
As the organization requires to evaluate various elements which are associated with the
techniques of the big data which are described below in brief.
 Variety of data - This is the broad in the element of technique of big data which is very
crucial to be maintained in the effective as well as efficient way. This includes type of the
idea of the information in case of making sure that the range of data will be conveniently
get shared efficiently and effectively. In addition to it the commercial business requires to
operate various work which are making the tactics of management as well as financial
outputs of the company.
 The velocity of data – This will link to the space of information or data through which it
will be shared from one division to the other division. In 2 days time the velocity of the
information or data will be managed by making the software which are more advanced in
the organization which will assist in effective working of the company. In addition to it
this is the crucial element for the commercial business in order to maintain as well as
manage the velocity of data which will be organised for the long period of sustainability
and success of the organization. (Chae, 2019)
The challenges of big data analytics
Big data analytics associated to the appropriate division in the organization and it has rigid
attribute in which most of the commercial businesses in the current time Uses the techniques of
the big data. As this is the efficient and effective need for the analysis of big data in case of
managing the data of the consumers. The most common problem and challenges in the
techniques and analytics of the big data are described below in brief.
 Data security - In the commercial business of the techniques of big data security of data
is known as the most fundamental problem for the organization. Data protection has the
very crucial and effective part in managing and protecting it from the several or the
numerous of sources. The researcher collects the data from the several elements and this
can be the fundamental part of the researcher in order to provide security to the data of
their customers (Nersessian, 2018)
 Maintaining quality Data – By attaining the enhanced level of the data this will be very
problematic for the organization in order to be suitably maintained and managed. This

includes the clearing up all the errors, mistakes, absence, uniformity, problems ,
duplicates and various more. Apart from this management of the organization is investing
on the major element of the crucial time instead of minimising the impact of these issues
or overcoming these problems.
The techniques that are currently available to analyse big data
 Data mining - Mining of the data is the common method which is used by the
organization in order to maintain the analytics of the big data. The mining of the data
says in the several elements from the bigger combination of the information about data.
This aggregates the method of machine learning as well as start in the every section of the
commercial businesses. (Mądra- Sawicka, 2020)
 Machine learning – This will link to the idea which is majorly associated with the
machine learning as well as with the artificial intelligence which is commonly connected
with the idea of algorithmic program and science of computer. It also gives many
examination which are totally based on many of the orientations.
How Big Data technology could support business, an explanation with examples
In the current situation of the competitiveness of the organization the technique of the
bigdata assist the commercial businesses in order to make speedily by giving the company in
maintaining their old information and data of their customers. Many commercial businesses can
make and attend the edge over their competition with the assistance of technique of big data
(Phillips-Wren, and McKniff, 2020). The big data method will provide more support in
maintaining the operations of the company which concerns the element which are described
below in brief.
 Management of data - The approach of big data provide assistance and maintaining the
information or the data which assist the company in the structured as well as organised
manner. The method of the big data uses bigger element of the section as well as software
which can be more convenient for the organization in order to manage enhanced level of
the data. In addition to eat the data which is managed by the technique of the bigdata is
conveniently exbill for the management of the company for the long period of the time.
 Privacy of data – This is also crucial for the consumers as well As for the businesses in
the area of the market. Through utilizing the several course of practices in the techniques

of big data this has the very crucial part in growth of management by maintaining the
security of the data of the consumers of the company. This will assist in maximising the
consumer value through maintaining their privacy for the bigger number of the data.
(Kend, and Nguyen, 2020)

Poster

CONCLUSION
From the above report this has been concluded that techniques of the big data is the broader
element of data for the consumers which are very helpful for the management as well As for the
leaders in the company. In addition to it the techniques of the big data also support the leaders in
managing the broad and numerous of the data which are using several appropriate methods. The
leader also involves the efficient and effective element in order to minimise the impact of the
problems as well as overcome the various issues which are linked and associated to the methods
of big data In order to deal with many complexity. In addition to it this has also include the
sensuality and importance of the techniques of big data as well as its application in the
organization for effective and efficient operation of the company.

REFERENCES
Books and Journals
Agrawal, R., 2020. Technologies for handling big data. In Handbook of research on big data
clustering and machine learning (pp. 34-49). IGI Global.
Chae, B.K., 2019. A General framework for studying the evolution of the digital innovation
ecosystem: The case of big data. International Journal of Information Management, 45,
pp.83-94.
Kend, M. and Nguyen, L.A., 2020. Big data analytics and other emerging technologies: the
impact on the Australian audit and assurance profession. Australian Accounting
Review, 30(4), pp.269-282.
Mądra-Sawicka, M., 2020. Financial management in the big data era. In Management in the Era
of Big Data: Issues and Challenges (pp. 71-81). CRC Press.
Nersessian, D., 2018. The law and ethics of big data analytics: A new role for international
human rights in the search for global standards. Business Horizons, 61(6), pp.845-854.
Phillips-Wren, G. and McKniff, S., 2020. Overcoming resistance to big data and operational
changes through interactive data visualization. Big Data, 8(6), pp.528-539.
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.
Venkatraman, R. and Venkatraman, S., 2019, August. Big data infrastructure, data visualisation
and challenges. In Proceedings of the 3rd International Conference on Big Data and
Internet of Things (pp. 13-17).