Information Systems and Big Data Analysis: Challenges and Techniques

This report provides a comprehensive overview of big data analysis within the context of information systems. It begins by defining big data and outlining its key characteristics, such as volume, variety, and velocity. The report then delves into the challenges associated with big data analytics, including data security, data complexity, and maintaining data quality. Various techniques currently available for analyzing big data are discussed, including data mining, machine learning, and statistical analysis. Furthermore, the report explores how big data technology can support business growth, providing examples of companies like ASDA, Tesla and Tesco that leverage big data for data management, privacy, and customer engagement. The report concludes by highlighting the importance of big data analytics for researchers and businesses alike, emphasizing its role in managing large volumes of information and overcoming related challenges.

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................................................................................................................................7

INTRODUCTION
Big data technique is related with large section of information that relates with the different
customer in the business. It is essential for the business to maintain their big data analytics to
following the growth in the field of marketplace. The management has to develop an efficient
functioning software for managing activities that maintained to the big data techniques (Hagen,
2021). In the following report, there are a brief discussion of big data techniques in terms of their
aspects. It also include a discussion of various issues that are effective in evaluating big data
technique and at last it involves the way by which big data analytic will support the business.
TASK
What big data is and the characteristics of big data
Big Data
In the current competitive world, big data technique is growing to create an efficient impact on
the information practices software. The actual example of Big data technique is Hadoop, Spark,
Hive and Cloud. Such sort of the techniques will help in managing the big data in terms of the
business. The big data technology also include the classification of various components that
maintains the organisational data storage that are efficient for the growth of the business and
develop synchronizing of big data. As there are several fields of big data that are functional and
analysable big data technology. As it will depends on the work of information practices in the
business to evolve big data in suitable manner to secure the actions that are essential for the
business develop big data (Mach-Król, and Hadasik, 2021). The big data technology is related as
a basic field that is essential for securing crucial data that relates to customer. The business can
acquire success in the manner of the market by big data technology that plays an essential role by
demonstrating larger field in an effective manner.
Characteristics of big data
As the management require to identify various components that are connected with big data
technology that are as follows - The volume of data – It will relates to the wider field of section, the management require
to develop an effective approach in managing a wider structure of data. Big data volume
is an effective and large number of customers who have potential in managing
international and as well as national field. By evaluating the larger volume of information

that are essential for the business to manage the roles of an organisation to hire skilful
and expert workers employees. Variety of data - It is huge in the field of big data that is essential to be get maintained in
an effective manner. It include an effective section of orientation of the big data. In order
to make sure that the variety of data will get shifted directly. The management should
present various roles like financial outputs and developing organisational strategies.
 The velocity of data – It will termed to the speed of data through which it will get shifted
from one division to other division. In the present section, the velocity of data will get
managed by creating broad software like HADOP HPCC in the business (Maheshwari,
Gautam, and Jaggi, 2021). It is an essential section for an organisation to manage the
velocity of data that are consistently organised for longer period of time of the business.
The challenges of big data analytics
Big data analysis will connected to an effective division in the business. It have an effective
division, most of the management in the current time apply big data technology. The
organisation require to focuses on big data to hold customer satisfaction for longer period of
time. In the current period, there are various section of issues that connected to big data that are
increasing an effective and an invariant base. As it is an efficient need for data analysis in order
to managing the customer data. In order to managing the challenges that are related to big data
analytics, the management might create an effective analysis of skills by setting the advice from
IT experts. The basic issues in big data are as follows -
 Data security – In the management of big data technology, data security is relates with
several issues. Data security plays an essential role in managing and securing it from
broader section of components. The researcher collects the data from several sources and
it will be the basic role of the researcher to offers data security to their customers. In the
current field of global techniques, there are several functions such as Malware and
spyware that will have direct impact on the global information of business. Data complexity – By evaluating and maintaining the data complexity that is essential
for the researcher to overcome the issues and conflicts (Pika, and et.al., 2021). The data is
evaluated and inflexible in a several course of manner that create id tough for the
researcher to manage the information. It will directly connected to the basic section of

issues because of its standardise course of task by IT experts in an organisation to
manage the data complexity.
 Maintaining quality Data – By maintaining high section of the data, it will be managed
for the business to get controlled. It involves transparency and overcome from problems
in terms of removing duplicate documents, errors, absence, issues and uniformity. As on
the other hand, the business is spending higher division of the time in compare to
overcoming these problems.
The techniques that are currently available to analyse big data
 Data mining - Data mining is an effective technique that are use by the business to
maintain their big data analytics (Rao, and Dharavath, 2021). It will pulls out several
divisions from a wider term of the information. It will compile the methods from
statistics and machine learning in the section of the management.
 Machine learning – It will termed to the manner that are directly connected with the AI,
machine learning that are basically connected with the though of computer science and
algorithmic schedule. Machine learning is also provide various sections that are based on
various points.
 Statistics - The technology include the process, managing and analysing this information
that are different and expandable structure that creates and develops with certain period
of time. Technology that manages the fields and size that are valuable. It helps in
managing adequately and effectively that can demonstrate the business, goods and market
perspective.
How Big Data technology could support business, an explanation with examples
In the current scenario of the competitive condition, the big data technology will help the
business to grow quickly by providing the management in maintaining past data of customers.
As there are several managerial sections that develop competitive advantages with the help of big
data technique (Shahin, and et.al., 2021). The big data technology will support in maintaining an
organisation in terms of considering the components that are as follows - Management of data - Big data technique will help in maintaining and supporting an
organisation in an effective manner. The big data technology use in an effective and
wider term of software that will be effective for the business to mange higher order of
information. The information is managed by the big data technology that are available for

the business for higher period of time. For example, ASDA is a multinational UK based
retail organisation that managed wider division of information in different division with
the help of big data technology. Privacy of data – It is significant for both the management and the customer in the
structured form of field (Su, and Wang, 2021). By applying the section of activities in
big data technology, it plays an important manner in organisational development by
maintaining the privacy of customers. It will increase the standards of the customer by
creating and evolving the manner of the business. For example, Tesla, it is multinational
car company that maintained its privacy terms of data that will help the big data
technology.
 Customer engagement – Consumer engagement is also maintain by big data technology.
It help in framing and forming the data. It is a basic section of roles of informatics
exercising sections in the business to manage data as according to the amount of
customer (Zhang, and et.al., 2021). Customer engagement is a basic priority of each
organisation, moreover big data technology will also help in increasing the standardise
values of the business by increasing customer satisfaction as it will develop customer
belief in an organisation. For example, Tesco is a multinational retail organisation with
the help of big data technique.
CONCLUSION
From the above mentioned report it has been concluded that, big data is a broader term of data of
users that are helpful for the researcher and the business. The big data analytic also help the
researcher in managing higher amount of informations that are using effective methods. The
researcher also involves efficient division to overcome problems and challenges that are related t
the big data techniques to manage it with higher complexity.

REFERENCES
Books and Journals
Hagen, J., 2021, January. Collaboration for Big Data Analytics: Investigating the (Troubled)
Relationship between Data Science Experts and Functional Managers. In Proceedings
of the 54th Hawaii International Conference on System Sciences (p. 254).
Mach-Król, M. and Hadasik, B., 2021. On a Certain Research Gap in Big Data Mining for
Customer Insights. Applied Sciences, 11(15), p.6993.
Maheshwari, S., Gautam, P. and Jaggi, C.K., 2021. Role of Big Data Analytics in supply chain
management: current trends and future perspectives. International Journal of Production
Research, 59(6), pp.1875-1900.
Pika, A., and et.al., 2021. Using big data to improve safety performance: an application of
process mining to enhance data visualisation. Big Data Research, 25, p.100210.
Rao, M. and Dharavath, R., 2021. DSSAE-BBOA: deep learning-based weather big data analysis
and visualization. Multimedia Tools and Applications, pp.1-23.
Shahin, M., and et.al., 2021, January. Big Data Analytics in Association Rule Mining: A
Systematic Literature Review. In 2021 the 3rd International Conference on Big Data
Engineering and Technology (BDET) (pp. 40-49).
Su, Y. and Wang, X., 2021. Innovation of Agricultural Economic Management in the Process of
Constructing Smart Agriculture by Big Data. Sustainable Computing: Informatics and
Systems, p.100579.
Zhang, Y., and et.al., 2021. Big data and artificial intelligence based early risk warning system of
fire hazard for smart cities. Sustainable Energy Technologies and Assessments, 45,
p.100986.