Report on Information Systems and Big Data Analysis

This report provides an overview of big data analysis and its significance for business organizations. It defines big data, discusses its characteristics such as variety, volume, value, velocity, visualization, and veracity, and explores the challenges associated with its analysis, including the lack of complex data understanding, information security, and data segregation. Various techniques used in analyzing big data, such as statistics, A/B testing, and machine learning, are described. The report emphasizes how big data analysis assists business organizations by enabling better decision-making, identifying hidden trends, and improving overall business performance. It concludes that effective use of big data analysis can provide numerous benefits for organizations, aiding in strategic development and competitive advantage. Desklib provides access to similar solved assignments and resources for students.

Information Systems and Big Data
Analysis

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................1
MAIN BODY..................................................................................................................................1
WHAT IS BIG DATA.................................................................................................................1
CHARACTERISTICS OF BIG DATA.......................................................................................2
CHALLENGES OF BIG DATA ANALYSIS............................................................................3
DIFFERENT TECHNIQUES USED IN ANALYSING BIG DATA.........................................3
BIG DATA ANALYSES HELPING IN ASSISTING BUSINESS ORGANISATION.............4
CONCLUSION................................................................................................................................5
POSTER..........................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
The big data management is important for the business organisation as it helps in analyzing
correlations of the entity like trends in market, taste and preference of target audience, hidden
patterns and many others. The big data analyses in extracting and analyzing the complex data
and information for management. There are various organizations that are present in market that
use big data analyses as it gives them with considerable support for formulating the strategies
that are needed for growth and development. This report consists of information related to big
data analyses as well as its characteristics. Various challenges that are present and are faced by
management during big data analyses are discussed in this report. It gives description about
technology support for big data analyses.
MAIN BODY
WHAT IS BIG DATA
Big data analyses are important tool that is needed in organisation as it helps in taking effective
decisions for business making it more competitive in market. The data management is important
as it helps in strategies development for business organisation. It improves the overall business
performance in market. There are numerous advantages that are which are related to big data
analyses concept (Eken, 2020). The biggest advantage of this is that it helps the business
management in grabbing various opportunities from the market. It also helps the business
organisation in making effective and efficient marketing framework. The big data analyses
concept is very important as it helps management in maintaining and satisfying the needs and
wants of customers, enabling the organisation in dealing with high competition that is present in
the market. The big data that is present in the business is mainly categorized as structured,
unstructured and semi structured. The structured data is that data and information in business that
is stored as well as is recovered in the organisation in proper format. The data amount that is not
arranged in proper format and are not for use is called unstructured data. Semi classified data on
the other hand is the data that is structures and structured both. The big data concept is important
for business as it enables in increasing the competitiveness of business in the market. It is
important to describe characteristics of big data as it clears its concept in an effective way.
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CHARACTERISTICS OF BIG DATA
The characteristics of big data are discussed as follows:
Variety: There are various sources that are present in business by which there is generation of
data with help of customer logs, social media, media as well as financial transactions
(Gonçalves-Pinho, Ribeiro and Freitas, 2021). The traditional business methods have all its data
which is stored in spread sheets and database but in recent times of business the data is given in
numerous forms like photos, videos, audio files, PDF and others.
Volume: The data sources in the business organisation is high that results in level increase. The
level in which all the complex data and information is recorded is for every second in the
business organisation. The data volume is denoted in technical terms like Kilobyte, Gigabyte,
Megabyte and others.
Value: The data value is not connected with development speed rather than it is connected with
business organisation use and reliability. If the data that is produced in the business organisation
is of no use, then there is effort wastage in processing. The data is only valued and valid if it
gives a proper meaning and context to business organisation.
Velocity: The velocity of data is connected with data extraction speed and its transformation into
useful and relevant information for the business organisation. The data processing and analyzing
in the business organisation is important and useful in satisfying the needs of business
organisation.
Visualization: It is important as well as valuable big data characteristic as it is connected with
visual data forms. The data and information is reflected in various visual forms like graphs,
charts, maps and others (Ju, Liu and Feng, 2018). This data type is important in business entities
as it has easy accessibility and utilization of this type of data.
Veracity: This big data characteristic of is connected with accuracy and truthfulness of data in
the business organisation. The business which have low veracity are not useful to utilize these
kind of data.
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CHALLENGES OF BIG DATA ANALYSIS
Big data analyses are important as well as valuable concept possessing numerous advantages but
it also possess negative returns or challenges for business organisation or companies due to
security breach. The biggest challenge is effective and valuable use of the big data in the
organization. There are numerous duties and requirements that are there and those are needed to
be followed by management in the organisation (Lin and Yang, 2019). The challenges that are
there for big data management are discussed below:
Lack of complex data and its proper understanding: There are various aspects that are there
in big data management that are needed to be understood by business management. These
aspects of data are data sources, their storage as well as database and many others. Sometimes
the companies do big mistake in the improper use of database which is needed for storing data.
With proper knowledge lack and understanding, the business organisation is disabled in attaining
best returns that are related to its concept. If the data and information is not properly stored in
data base, then its recovery during the need is not an easy task.
Security of information: There are numerous hackers and frauds that are there in the market
and many frauds are done. These hackers use their technology and knowledge with the aim to do
misuse of the organizational data. The data needs to be secured data from these hackers and one
of great challenges that are faced by the organisation is frauds. It is important to use technologies
in the organisation for the data security and safety from these hackers.
Data Segregation from various sources: As there are various sources that are there in business
organisation rather than a single data source. This leads to numerous problems related to sorting
of this huge data and information amount for the organisation.
DIFFERENT TECHNIQUES USED IN ANALYSING BIG DATA
Big data analyses are difficult task for business organisation as the management has to do
this with using the technology that is available to them. There are numerous techniques that are
present that are used by organisation for analyzing data (Song, Xu and Dolma, 2019). The
management of business organisation needs to analyse all these techniques. Some of them are
discussed in the following context:
Statistics: It is the technique in which the data analyses are done by the business organization’s
management by using various kinds of methods related to research. These research methods are
that are used are various market surveys as well as different experiments that are done and
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needed for analyzing the data in an effective way. In this technique, there is requirement of using
internal and external surveys by the management of business.
A/B Testing: This is yet another valuable method used in analyzing big data of the organization
in which it needs to do comparison between two different random variables. This leads in easy
operating of data and that too in a systematic manner by the business organisation.
Machine Learning: It is related with all those factors of data analyses in which there is
concentration of business organization’s management in making the data and information in a
more understanding context. This data analyses technique enables the business organisation to
function the hidden trends in various special visuals.
BIG DATA ANALYSES HELPING IN ASSISTING BUSINESS ORGANISATION
The opportunities that give considerable growth with help of big data analyses in the
business organisation. Various different robotic processes which are there in the market that
helps in data management.
These different processes need to be utilized by business entities for making and increasing
competition in market. If the complex data that is present in the business organisation becomes
structured, it can help the business management in making great and effective decisions (Vialetto
and Noro, 2020). It is one of the important feature for the business as of big data analyses that
there is reflection which the hidden trends make it easy to be understood by the business
organisation in an effective way. These various technologies are very helpful of the organisation
in reviewing all these complex problems along with solving all of them in a better way.
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CONCLUSION
From this report, it is concluded that big data analyses have various benefits if these are
all used in effective manner for the organisation. There are various characteristics that are
included in this report of big data management that are needed for establishing effective
judgement in business. There are numerous challenges that are faced by management during the
use of big data in the organisation which are also included in this report.
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POSTER
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REFERENCES
Books and Journals:
Eken, S., 2020. An exploratory teaching program in big data analysis for undergraduate students. Journal
of Ambient Intelligence and Humanized Computing, 11(10), pp.4285-4304.
Gonçalves-Pinho, M., Ribeiro, J.P. and Freitas, A., 2021. Schizophrenia related hospitalizations–a big
data analysis of a national hospitalization database. Psychiatric Quarterly, 92(1), pp.239-248.
Ju, J., Liu, L. and Feng, Y., 2018. Citizen-centered big data analysis-driven governance intelligence
framework for smart cities. Telecommunications Policy, 42(10), pp.881-896.
Lin, H.Y. and Yang, S.Y., 2019. A cloud-based energy data mining information agent system based on big
data analysis technology. Microelectronics Reliability, 97, pp.66-78.
Song, W., Xu, M. and Dolma, Y., 2019. Design and implementation of beach sports big data analysis
system based on computer technology. Journal of Coastal Research, 94(SI), pp.327-331.
Vialetto, G. and Noro, M., 2020. An innovative approach to design cogeneration systems based on big
data analysis and use of clustering methods. Energy Conversion and Management, 214,
p.112901.
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