Information Systems & Big Data Analysis in Business Management BSc

This report provides an overview of big data analytics in the context of business management, emphasizing its features (volume, variety, velocity, variability, veracity), challenges (messy visualization, inefficient organization, data sharing, outdated technologies, non-optimal infrastructure, poor quality of data source), and available techniques (A/B testing, classification, sentiment analysis, social network analysis). It further elaborates on how big data technology can support businesses through improved communication with consumers, remanufacturing goods based on feedback, risk analysis, data security, and the creation of new revenue streams. The report concludes with references to relevant books and journals, highlighting the importance of big data in contemporary business operations and decision-making.

BSc (Hons) Business Management
BMP4005
Information Systems and Big Data Analysis
Poster and Accompanying Paper
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Contents

Introduction p
What big data is and the characteristics of big data p
The challenges of big data analytics p
The techniques that are currently available to analyse big data
p
How Big Data technology could support business, an explanation with examples
p
Poster p
References p

INTRODUCTION
This project is mentioning the business management through the big data analytics which
will be needed for the execution of the business in an effective manner by integrating the
important information from the software to hardware by having cognition of internal factors of
the business. The prime objective of the big data is to assist in the evaluation of the businesses in
accordance with the current scenario. The obstacles which the big data encounters while in the
business with different tool and techniques which are currently available for applying the
analytical approach for overcoming the challenges for the better understanding of the
marketplace and make profits by knowing the information about the requirements and the needs
of the consumers. In accordance with the present scenario of the marketplace, it will be
considered as the important information in regard of the big data technologies which aid the
businesses for containing the origin of informations in regard the importance of the big data and
how importance role it will play in the present conditions.
MAIN BODY
Big data and its features
The large amount of complex unstructured and structured sets of data which are created
quickly and being transferred through the immense variety of sources. In present scenario, the data is
created any time and it resulted in immense collections of important information by which the
organisation and entity is needed for management, storing, visualization and analysation. Customary
tools of data is not created for managing huge volume and complicated, which will eventually
slowing down the particular software of big data and the resolution of architecture planned for load
management. Platforms related to the big data are particularly designed for managing the huge
amount of data which came to the systems at high velocities and huge varieties(Ionescu, 2021). Those
platforms generally includes of different servers, tools in regard of the business intelligence and info
base which allows the data scientists for influencing the data for find out certain pattern and trends.
Features
 Volume- The name big data itself represent the size of the data which is huge volume.
Data value is determine the size of the data. Basically, it all depends on the volume of the

data whether it will consider as the big data or not. It is considered as a feature which is
essential for being recognised while dealing with the solutions of the big data.
 Variety- It can be referred as the heterogeneous source and nature of data which is
structured and unstructured both. In earlier days, the spreadsheets and the databases are
the origin of the data is implemented by most of the application(Kunanets, Vasiuta, and
Boiko, 2019). But in today's time data is considered in the form of photos, email, videos,
monitoring devices, pdf, audio etc., in course of application analysis. This unambiguous
data is rasing the challenges for mining ,storage and analysing data.
 Velocity- Those data which is generating the speed, how fast the speed is created and
processed for getting the demands by determining the actual potential of data. Velocities
of big data is deals with the pace at which the data is circulating from the various origins
like application logs, businesses process, social media sites, cell phones and various
networks. Flow of data is immense and constant(Lee,and Huh, 2019).
 Variability- It is referring to the inconsistency which has been showed by data at
various times. Hindering the procedure of being capable for handling and managing the
data in an effective manner. Capability of extracting the value from huge volume of data
is essential as value of the data is enhanced and it totally depends on insights which might
be extracted by them.
 Veracity- It indicates the accuracy and the quality of data. Data which is collected may have
few missing elements which can be imprecise or not being able to provide real and important insights.
It depends on the trust level in gathering data. Sometime collected data might be difficult and
complex for taken in use and it will create confusion instead of giving insights.
Big Data challenges
These are the followings challenges of big data analytics-
 Messy visualization of data- Reporting a level of complication is very high and tardy or
it is difficult to find the important information. Those complexity can be solved by the UI
or UX specialist who will provide assistance in formulating the interface which is flexible
and quite easy of manoeuvrer and work with.

 Inefficient organisation of data- Organising of data is the most difficult part to work
with. It is great to check if the warehouse of data is being designed in accordance with
use of case scenarios.
 Data sharing- Through the accessing of data from the public depository which results in
having various issues and can take to appreciable issues as the data is huge in terms of
size.
 Outdated technologies- Modern technology which is capable of processing more
volumes of data in a fast way and in an inexpensive manner. So in coming future the
technologies which is being use in regard of big data analytics will be outdated and
sooner need more resources.
 Non optimal infrastructure- In the factor of the cost variable, there is always a chance
for doing changes. In the cloud solution, you pay for the use depreciating the cost.
 Poor quality of data source- When the system is depended on the data which are
having the defects or errors and is incomplete, those kinds of data will generate poor
results. The process of validation of data and the managing of data quality is covering the
stage of ET process may assist in improving the quality of data (Liang, and Liu, 2018).
Techniques presently available for analysing the big data
These are few of the techniques which are available for the big data analytics:
 A/B TESTING- Different types of groups are being compared by the primary controlling
groups which are having the intention to determine the treatments which will enhance the
goal component and basically it happens where the two or more than two elements are
compared with each other to acquiring the tool for examine and achieving the objectives.
 CLASSIFICATION- There are various number of techniques which are being used for
determining the categories which newer data belongs and monitor the learning which will
assist in making of decision by the contribution of various categories.
 ANALYSIS OF SENTIMENT- It will provide assistance in understanding the want
and expectations of the consumers base from the chosen brands which will improve the
services of the businesses which assist in interpreting the emotions with the help of the
data which has been provided by the several people sentiments.

 ANALYSIS OF SOCIAL NETWORK- It has been used for improving the
relationship between the businesses and consumers for better understanding the social
framework of the consumer and the first one was the telecommunication industries who
are using it and after that it is used by several scientists for searching the social concept
and assess the bond among the people and the activities of traders with their modes of
determination of individuals who are already in the systems while deciding the
relationship between the individuals for examine use of the social network and analyse
the connections among the consumers and peoples of the enterprise.
How the Big Data technology can assist business, explanation with examples
 COMMUNICATION WITH CONSUMERS- Nowadays, the consumers base are
intelligent enough for understanding their priorities and in accordance with the recent
time explore everything before buying it. Communications can happen to the businesses
enterprises through several platforms of social media. Business is able to reach the
consumers by the assistance of the big data and interact with the consumers by knowing
their desires and provided products according to their needs(Lin, and Yang, 2019) .
 REMANUFACTURING GOODS- With the assistance of the big data, the firms
analysis their products in accordance of the feedbacks they receive by their customer base
and modify their products qualities and characteristics that the consumers needs in their
goods. Firms take the reviews positively and make modification in their respective
goods.
 RISK ANALYSIS- It refers to the analysis of the firms which will affect the operations
of the businesses. It assist in the scanning of the feed of the social media, newspapers
reports about knowing the current scenario of marketplace as it will provide assistance to
the firms in understanding the current marketplace competition and do modification in
the product in accordance with the competition in the market(Wang, and Wang, 2020).
 SAFETY OF DATA- Analytics of big data assist in finding the whole data base in the
organisation and have a cognition of every internal threat and which the organisation
want to remove or resolve the threats and keep the information safely.

 NEW REVENUE SYSTEM- Big data assist in creating more sales for the organisation
and provide information in regards of their consumer base and their needs.
POSTER

REFERENCES
Books and Journals
Ionescu, L., 2021. Big data analytics tools and machine learning algorithms in cloud-based
accounting information systems. Analysis and Metaphysics, 20, pp.102-115.
Kunanets, N., Vasiuta, O. and Boiko, N., 2019, September. Advanced technologies of big data
research in distributed information systems. In 2019 IEEE 14th International
Conference on Computer Sciences and Information Technologies (CSIT) (Vol. 3, pp.
71-76). IEEE.
Lee, S. and Huh, J.H., 2019. An effective security measures for nuclear power plant using big
data analysis approach. The Journal of Supercomputing, 75(8), pp.4267-4294.
Liang, T.P. and Liu, Y.H., 2018. Research landscape of business intelligence and big data
analytics: A bibliometrics study. Expert Systems with Applications, 111, pp.2-10.
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.
Wang, S. and Wang, H., 2020. Big data for small and medium-sized enterprises (SME): A
knowledge management model. Journal of Knowledge Management, 24(4), pp.881-897.