Big Data Analysis: Information Systems Supporting Business Growth

This presentation provides an overview of big data and its characteristics, focusing on how information systems utilize big data analytics to support business organizations. It discusses the challenges of analyzing big data, such as poor data quality and outdated technology, and explores techniques like ...Read More

Information Systems
and Big Data Analysis

INTRODUCTION
The Information system refereed to the set if integrated components that is being
used by the company for analysing, processing, gathering and storing the data and the
information in an appropriate manner. Information system helps in facilitating knowledge and
information related to the products and services to the individuals. The big data is the advance
tool that is being utilised by an organisation for analysing & diversifying the critical data in an
appropriate manner. This respective PPT Poster will analyse the big data and its characteristics
of big data, challenges of analysing big data and techniques which are currently available to
evaluate big data. Moreover, it also cover the how the big data technology could support
business organisation.
TASK
What big data is and the characteristics of big data?
The big data is the information which is stored in the huge amount and also form the
structured and unstructured data. All the information and the data can be create in a easy and
quick manner with the immense variety of sources. When an organisation have the data and
information in large amount, it helps them to analyse the needs and demand within less time. The
main consideration of big data in to analyse the information system by collecting. Storing and
process the data in a smooth manner. There is no such technique has been developed for
managing high volume and complicated data, which will gradually slowing down the specific
software of big data. There are various platform that are connected to the big data. This helps
them in managing data in large number that are comes in systems in huge variations and high
velocities.
There are various characteristics of big data which are described below:
 Volume – As the name says. It is the large size information and huge in volume. The size
of data helps in analysing the value of information. As per this characteristics, with the
storage of information in high volume organisation, they can easily deliver the quality
and right goods to their prospective customers for a long period of time.
 Variety – This is referred to the nature of information & heterogeneous sources that lies
in the category of both structured and unstructured. In past time, database & spreadsheet
are the main origin of the information that is executed by most of the applications. But, in

current time, information is basically considered as the type of audio, videos, pdf, emails
and other factors of application analysis. With the use of such type of data problems are
raised in order to manage the space in the systems.
 Velocity – The information that is generating speed, in that the speed is created and
process for getting the demand with the right approach of analysing the actual potential
information. The velocity in respect to big data is dealing with the pace in which the
information is circulated from various sources that includes the social media sites, cell
phone, application logs and other aspects.
 Variability – This is explained as a inconsistency that can be shown with the assistance
of information at several times. As there is inconsistency in the data flow, company will
not able to deliver the quality products & services to their prospective customer for a long
period of time. Hindering the whole process of being capable for accessing and managing
the data in an efficient manner. When he individual is having the capability of extracting
the value from the huge amount of data and information are very high and this is the
important as a value of information is increased & is totally considering the insights that
are extracted by them.
 Veracity – This basically includes the accuracy and quality of data and information. The
information that is gathered may have less elements that may be imprecise and they
might not able to help the needful insight. Sometimes, the data and the information might
be complicated for tackling and this will create confusion in place of providing the clear
insights.
The challenges of big data analytics and the techniques that are currently available to analysis
big data
There are certain challenges that are being faced in analysing big data are discussed below:
 Poor quality of data source – When the systems are completely based on the
information and they are having the errors and the entire information is not complete.
Such type of information are majorly responsible for getting poor data and output. The
procedure of validation of information & managing quality in data is sustained the better
coordination among the employee and the employer.
 Use of outdated technology – When the individual is using the old version of gathering
data and the information then leads to have ineffective information for the users. The

other drawback of outdated technology us that the worker within the company is not bale
to deliver the best quality of goods and services in long time. Modern technology that is
highly capable for getting the huge amount of information quickly and inexpensive
manner. Thus, in future time, technology that is being used in aspects of big data
analytics might be outdated & this need more resources.
 Sharing of information – With the accessing of data and the information from the
depository of public will leads to results in occurring the different problems that is not
enough for nay business organisation. With the passage of time, the sharing of data in
large number with multiple users, sometimes information's can not be send in a correct
manner.
Following are the techniques that are currently available for analysing the big data effectively
that are explained below:
 A/B Testing - There are certain groups which are compared with the sole groups of
primary controlling that is having the intention for determine the overall treatment. This
basically leads to increase the goal element and this is happened only when the more than
2 aspects are compared with the others in order to achieving the techniques for gaining
and examining the sole objectives. This system helps the employees and the employer to
main the long term information.
 Classification – There are various number of tools that are used for analysing the
categories. In this way, there are some information which belongs the learning that will
support for having the better decisions by contributing the various categories.
 Analysis of social network – This is utilised for enhancing the relationship among the
customers and organisations. They also understand the social framework of customers in
an effective manner. This can work as the great tool in order to improve the analytics
capabilities of any field. For instance, marketing, health care and churn prediction.

How big data technology could support business
 Communication with consumers – In current time, customer are very intelligent enough
for analysing their needs and wants. As per the sale of company product are highly
increased in low time. The strong communication are maintained in the tasks of the
company with the assistance of certain social media platform.
 Re manufacturing products – With the effective use of big data, company is able to
analyse their goods as per the feedbacks that is received by the customers. After that,
evaluating feedbacks required changes are being made in the products and services that
leads to give more satisfaction to the customers.
 Analysis of risk –This is basically defined as the evaluation of company that also
influence the working of the company. This also support the company in scanning the
newspaper feeds, social media and reports for analysing the current situation of the
market. With this, various companies can easily get support for understanding the current
competition in the market.
 Safety of data –Analytics of big data is helpful for analysing the database in an
organisation. For protecting all type of data in the system, it is vital for the company to
install the antivirus and the other related software. With this, organisation can protect
their data for analysing the database in an business organisation.

CONCLUSION
From the above PPT Poster, it is concluded that information systems & big data analytics
are significant tools for sustain the growth of the company for a long period of tome. With the
better use of information system and the big data, company is able to analyse the needs and
wants of the client in easy manner. This also cover the characteristics such as velocity, volume
and so on by which big data can be helpful in an organisation to get the accurate information.

REFERENCES
Books and Journals
Forrester, V.V., 2019. School management information systems: Challenges to educational
decision-making in the big data era. arXiv preprint arXiv:1904.08932.
Jeong, Y.S. and Park, J.H., 2019. Advanced big data analysis, artificial intelligence &
communication systems. Journal of Information Processing Systems, 15(1), pp.1-6.
Mikalef, P. and Krogstie, J., 2020. Examining the interplay between big data analytics and
contextual factors in driving process innovation capabilities. European Journal of
Information Systems, 29(3), pp.260-287.
Shastri, M., Roy, S. and Mittal, M., 2019. Stock price prediction using artificial neural model: an
application of big data. EAI Endorsed Transactions on Scalable Information
Systems, 6(20).
Dagilienė, L. and Klovienė, L., 2019. Motivation to use big data and big data analytics in
external auditing. Managerial Auditing Journal.
Guo, T. and Wang, Y., 2019. Big data application issues in the agricultural modernization of
China. Ekoloji, 28(107), pp.3677-3688.
Rahul, K., Banyal, R.K. and Goswami, P., 2020. Analysis and processing aspects of data in big
data applications. Journal of Discrete Mathematical Sciences and Cryptography, 23(2),
pp.385-393.