Big Data Analytics & Business Support: Poster & Summary

This report provides an overview of Big Data, including its characteristics such as volume, variety, velocity, value, and veracity. It highlights the challenges of Big Data analytics, including the deficiency of correct knowledge, issues in data growth, and difficulties in tool selection. The report also discusses techniques for analyzing Big Data, such as A/B testing and data merging, and explores how Big Data technology can support business by improving decision-making, enhancing consumer understanding, increasing business operations, and generating income. Examples from social media platforms and American Express are used to illustrate these points. A poster summarizing the key aspects of Big Data is also included, along with a list of references.

Individual Poster and
Summary Paper Big
Data

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
Characteristics of big data ..........................................................................................................3
The challenges of big data analytics...........................................................................................4
Techniques which are acquirable for analysing big data............................................................5
How the technology of Big Data could support business ..........................................................5
POSTER...........................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
The collection of data which is being stored on the internet through the assistance of
technology is Big data. The data is in large terms of numbers and storage. The capacity of
storage of data is high in number. In comparison of the historical data this data is very huge.
The inventions in the field of science make this become possible through introducing new
technology in market. With the help of this the data is maintained in very systematic and
arranged manner(Teng, and Khong, 2021). The big data is to be utilize in every field. In this
report this is explained about the role of big data in recent time period. This also explain about
big data analysis. The characteristics of big data is also highlighted in this report. In this there is
also discussion of examples and the technology for big data.
MAIN BODY
Characteristics of big data
The collection of big data for organized and unorganized data will refer to the data which
is valuable on the internet. Further more, the data is being collected through server, online
transaction, client which are purchase, online bank transfer, sale, past history of online trading,
online booking, etc. the data have to be collected and selected for maintaining the big data. The
big data have to be used for taking effective and effectual decision for long run of the company.
The enterprise will also use the analysis of big data to fulfil future demand of commodity and the
service in the market. Example of this are the site of social media, stick exchange platform,
Facebook, Instagram, etc.
Characteristic of the big data will be discussed below-
 Volume- The big data volume is very large as this will be stored in very huge quantity
which is exabytes and petabytes. This is casually used in the processing technology in
online platform(Li, Ma, and Zhang, 2021). Twitter is one of the example for this type of
series of data. This is to be used through the enterprise for taking the decision for an
organisation. Moreover, the people spend most of their time on using internet through
posting videos and images on social media, playing never ending games. Etc. and this
will assist the enterprise for assess of the future needs of potential for the customer.

 Variety- The big data gives for the various variety of data in a group or on any of the
platform. Furthermore this is compare to historic data, the big data have more variety.
This is due to the historic data have only the phone number and the individuals address.
But big data have the videos, pictures, images, and many other type of data in one place.
 Velocity- the velocity is a speed which accumulate the data on any place of the data. In
general, the velocity of collection for the data is very high. This happens because of many
data will be uploaded per second in the recent scenario. Each of the data have to be used
for the process of evaluation at same time when this is uploaded online through the
enterprise. This will provide the space for the system of the big data(Lv, and, et. al., 2021).
 Value- The big data value is really very high. Because of the data which is being
collected in big data is the reliable one, dependable, processed and valuable. This
happens due to the data which is being entered in the big data covers in the real user for
the market. The information which is related to this is reliable and valuable. Further
more, the evaluation have to be made on the big data through the enterprise for the use.
 Veracity- This relates to the quality and trust for the data which is been collected in the
big data. The big data is of the form of unquestioned dependable for trustworthy and data
accuracy. The data authenticity plays an vital role in the big data. This is due to the
decision which were made through the enterprise which is based on the data.
The challenges of big data analytics
For an administration this is an crucial role which is played through big data which not
only assist them for carrying out the danger. But this will also assist them in increasing the
decision making execution for the enterprise. Being with this, this will also brought the ability to
answer in the firm but this also modify the financial health which will help the employee and the
management institution to guess the overall performance(Yang, Zhuang, and Pan, 2021). The
obstacle which big data suffers are mentioned below-
 Deficiency of correct knowledge for big data- Because of the lower understanding the
arrangements were not been capable for taking benefits form big data. The employees
are not able to interpret about the type of information, the process, keeping in value.
This do not have any picture in front of them. As this get over from the obstruction of
the company's administration, they have to arrange the courses of big data and work
of those who were managing the data.

 Issues for Growth of data- the data quantity will increase day by day. This will be
seen from the reports of big data. Further more there are various issue which arises in
relation to the data which is entered through the user. The data become very hard to
handle in these days as this is increasing the number. The enterprise will use the
methods for duplication, the ring which handles the data on the platform of big data.
 Trouble in selection of tool- There is many difficulty for selection of tools which were
used in big data. In many time the enterprise face confusion at the time of choosing
the accurate tools for the organisation(Hajjaji, and, et. al., 2021). The enterprise have to
hire the professional and experts who aids the organisation for taking right decision as
per selecting the tools.
Techniques which are acquirable for analysing big data
The big data technique play a very crucial role for administer as this assist in storing,
analyse and perceptive the data in effective manner. However, through the assistance of this
method the decision which is to be made in the correct manner and the risks have to be
decreased. This have various kinds of techniques which are accessible in the investigation of big
data form some of them are mentioned below:-
 A/B test: - This big data technique assist the structure of business for paying focus in the
relation for the different types of the groups tests. In addition, the discern for the
appropriate treatment or the alternate controlled data group will increase the provided
references. The technique aids the company for managing and carry out the work in very
good manner.
 Merger of data and combination of data :- The importance have been paid for the
united set for proficiency and this helps for the information or the various origin which
can be effectively analysed. The methods which provides prospering insight for effectual
and straight data for gathering through the group(Javed Awan, and, et. al., 2021).
How the technology of Big Data could support business
The big data effect for encouraging the administration of enterprise this has been mentioned
below:-
 Developing better structure for decision: - The big data will assist the structure of
business for making the effective decision for the authentic ground of information and

this is not based upon the supposition. This is known as the democratization of data due
to its assistance of supply for investigation of data from the user.
 Consumer Apprehension: - The analytics of big data administration for the business
which can effectively interpret the wants and the necessity which are being tailored. For
example, the big data is utilized from Disney for interpreting the behaviour for the
travellers. The wrist band is being made that this will act on entry key which comes in the
theme park(Naeem, and, et. al., 2022).
 Increase the operations for business: - Each type of business enterprise will becomes
used in day by day basis. This only use the resources for the enterprise.
 Income created: - The big data analysis will not give any help to the institution of
business to ease the execution for process of decision devising and this will also aids in
assisting the enterprise receipts and the financial gain of the organisation. The American
express uses the big data analytical for tracking the transaction of the institution and this
customized the user with the devising strong bond along with tailored.
POSTER

REFERENCES
Books and Journals
Hajjaji, Y., and, et. al., 2021. Big data and IoT-based applications in smart environments: A
systematic review. Computer Science Review, 39, p.100318.
Javed Awan, M., and, et. al., 2021. Social media and stock market prediction: a big data
approach. MJ Awan, M. Shafry, H. Nobanee, A. Munawar, A. Yasin et al.," Social media
and stock market prediction: a big data approach," Computers, Materials &
Continua, 67(2), pp.2569-2583.
Li, Y., Ma, J. and Zhang, Y., 2021. Image retrieval from remote sensing big data: A
survey. Information Fusion, 67, pp.94-115.
Lv, Z., and, et. al., 2021. Analysis of using blockchain to protect the privacy of drone big
data. IEEE network, 35(1), pp.44-49.
Naeem, M., and, et. al., 2022. Trends and future perspective challenges in big data. In Advances
in intelligent data analysis and applications (pp. 309-325). Springer, Singapore.
Teng, S. and Khong, K.W., 2021. Examining actual consumer usage of E-wallet: A case study of
big data analytics. Computers in Human Behavior, 121, p.106778.
Yang, Y., Zhuang, Y. and Pan, Y., 2021. Multiple knowledge representation for big data
artificial intelligence: framework, applications, and case studies. Frontiers of
Information Technology & Electronic Engineering, 22(12), pp.1551-1558.