BSc Hons Business Management: BMP4005 Information Systems Report

This report provides an overview of big data analysis within the context of a BSc (Hons) Business Management program, specifically addressing the BMP4005 Information Systems and Big Data Analysis module. It defines big data and its characteristics (variety, velocity, volume, and veracity), discusses the challenges associated with big data analytics, and outlines currently available techniques for analyzing big data, such as data mining, A/B testing, and data integration. The report also explains how big data technology can support business, providing examples of its application in data management, customer involvement, and privacy. It emphasizes the importance of big data in enhancing business operations and decision-making processes, while also acknowledging the challenges related to professional knowledge, data growth, security, tool selection, and comprehensive understanding of big data concepts. The report concludes with a poster presentation and references.

BSc (Hons) Business Management
BMP4005
Information Systems and Big Data
Analysis
Poster and Accompanying Paper
Submitted by:
Name:
ID:
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Contents
Table of Contents
Introduction................................................................................................................................2
What big data is and the characteristics of big data ............................................................3
The challenges of big data analytic.......................................................................................3
The techniques that are currently available to analyse big data ........................................3
How Big Data technology could support business, an explanation with examples .............3
Poster.....................................................................................................................................3
References .................................................................................................................................3
Introduction
The information system is mainly the systematic process which helps in coordination
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of the variable components and also assures to manage the process in which they imp-
element and provide the collecting, storing and processing all the information being required.
This mainly implies all the software in which the data is being analysed and all the motive
and system is being framed according to the unprocessed assistance of the useful information
and the conversion of the general nature through which useful data is being complied. Their
is being provided different elements which are like the hardware, software, feedbacks and the
people which helps in regulating and managing the information to be aligned in order to
frame the software. As the main help of the information system is to maintain the
globalisation, enhancing job roles, removing all the cultural gaps and many more (Chen
2022). In this report their will be covered challenges in the big data along with the
techniques which are being available in order to frame big data.
What big data is and the characteristics of big data
Big data means the large data made up of different components making it complex. It
is analyses for the decoding of the data which is very crucial for organizational growth. It
helps in innovative thinking and decision making by giving a deep insight and thus
considered as an asset for the organization. Being cost effective, big data is used in various
industrial sectors like banking industry,healthcare, manufacturing and retail industry, IT
industries etc. It contributes in success of these industries. It is being used worldwide by
many other industries(Mohapatra, and Mohanty, 2022).
The 4 V's of Big data are explained here under :
Variety : It is one of the crucial characteristic of big data. Under this, earlier the data was
collected from multiple sources such as databases and spreadsheets, but now the structured ,
semi structured as well as unstructured data is being collected from the sources like mails,
blogs, pictures, videos, etc.
Velocity : It refers to the speed rate at which the data is prepared collected at the present
time. In this feature, it is considered whether the speed of data collection and saving is high.
It becomes difficult for the data centers to manage the variety data with high pace rate.
Volume : Big volume data is consistently being collected from various portals such as social
media, business processes, Software's, networks etc. to manage the large data , the data
quantity has been changed from terabytes to normal PC memory with a shift to zera bytes.
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Now, the saving and storing of large and processed data cannot be done in traditional
systems.
Veracity : It states that in order to depict error less data, companies should collect the
unprocessed data from multiple sources and after assessing it, arrange the figures collected
to oversee the quality of the products(Naeem, and et. al., 2022).
The challenges of big data analytic
This provides all the organizing, analyzing and assembling of all the large amount of
data in which they manage the essential insights and also cover the furtive and the relative
nature with which the management and the firm divisions are being needed. This is generally
being fixed in the current aspects and all the companies generally requires the big data in
order to manage the satisfaction for the customers for the longer period of time. Their can be
see n that so many challenges are being observed on the big data on the daily basis and so as
to manage all such issues there is required to manage the I n depth analysis through which big
data analytical can frame the capabilities and implement the IT techniques and ideas in their
working. Some of the basic challenges which are being seen in the big data are like: Less professional knowledge- as all the applications which are being handled in order
to manage the big data analysis requires to frame and implement the specific content
and also to have the depth knowledge in the IT, data scientists, research work and also
the data engineering. And which implies that all the person who are well, opted in
having such knowledge and expertise are required and their seems to have difficulty
to find all such people with optimum qualification (Anisha, Reddy, and Nhu, 2022). Issues in the growth of data- As one of the most seen issue is managing the data as
with the change in time their can be opted that all such saving of the data
contemplates to be the major issue as this requires to be managed safely and in
authentic manner. So to save all such data in unstructured manner is way or
challenging. Security- This is been seen that as all the organizations are working according to their
management and applicability and they carry all their content to be evaluated and
accessed in proper manner. So the major issue which the company face is to keep the
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data safe in all the company and top maintain the proper security in order to recover
all the obstacles. Selection made of proper tool- Their can be seen that some of the difficulty which is
been faced by the firm or the company is to choose the accurate tools which is being
required for managing the big data for the company.
 Detailed understanding of big data- It serves to be important to have the complete
knowledge about the big data and there is been seen that all the issues and the
contemplates arise in interpreting the analysis and the management of the big data IT
are efficient in maintain the details of the big data and they can apply and manage all
the details according to the opted manner (Pandey, and Shukla 2022).
The techniques that are currently available to analyse big
data
Some of the major techniques which are being given in the big data are like:
 Data Mining- This is an important tool which helps in evaluating and managing all
the quality of the data which is can be solved in systematic manner. This is been
seen in all the business analyst where the proper management and the utilization is
being charged through which Artificial intelligence are being accursed. Their plays
a crucial role in managing the data base system thorough which all the software in
the PC can manage the data to be framed.
 A/B Testing- This helps in managing and controlling all the data and also helps out in
examining different variables in which it implies to have the test centers with which
all the controlling atmospheres are being ranged. It helps in evaluating and
gathering data so as to enhance the outcome which are being taken ton manage and
control the variables.
 Data Integration- All such data helps out in managing the large amount of data in
which the expanded size of the data and the files are being manages in the gigabytes
or the terabytes which are not the human manageable things. As this implies that it
evaluates all the changes trends in the market and help the organization to manage
the decision making through which consumers can apply and formulate the working
to be addressed and applied in proper manner. All such gathering of the data is
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mainly being made through different software like SPSS, python, Tableau and
many more. They apply the gathering of the data in proper manner.
How Big Data technology could support business, an
explanation with examples
Their are different ways in which the big data is being working and it manages all the
optimum technology through which all the utilization of all such managed data is being
framed. As in today's time there is been seen that with the emergence of the technology the
big data helps in fixing and managing all the issues in the company by handling their
variable software and functioning. Some of the major techniques which are being used in
the business in order to manage the big data are like:
 Management of data- all such Big data technology helps the company who are
managing their business to be working in the rapid scale to organize all the work in
the systematic manner. Some of the major techniques which are being outlined in
all such areas are to manage the firm, and also to effectively helps the clients to get
the approachable management working (Sapkota, and Sherpa, 2022).
 Customer involvement- all such big data helps out in syncing all the data and also in
facilitating the duty of the information by aligning and managing the practice with
which they manage the involvement of the customers. They build the trust of the
customers by involving them in all the work of the company and also by creating
transparency and privacy.
 Privacy- It evaluates and manages the privacy of all the records and also keep the data
and the working of the company to be managed with proper security this implies
that it hinder and applies the general working through which they maintain the
proper security of the company and this helps in gaining the trust of the clients as
well as in building the reputation of the company.
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Poster
References
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.
Chen, Z., 2022. Design of Computer Multimedia Intelligent Platform Using Big Data
Analysis. Journal of Interconnection Networks, p.2143024.
Mohapatra, S.K. and Mohanty, M.N., 2022. Big data classification with IoT-based
application for e-health care. In Cognitive Big Data Intelligence with a Metaheuristic
Approach (pp. 147-172). Academic Press.
Anisha, P.R., Reddy, C.K.K. and Nhu, N.G., 2022. Big Data: Trends, Challenges,
Opportunities, Tools, Success Factors, and the Way Toward Pandemic Analytics.
Handbook of Research for Big Data: Concepts and Techniques, p.297.
Pandey, K.K. and Shukla, D., 2022. Maxmin distance sort heuristic-based initial centroid
method of partitional clustering for big data mining. Pattern Analysis and
Applications, pp.1-18.
Sapkota, K. and Sherpa, K.S., 2022. Spatial Analysis-Based Study on Impact of COVID-19
on Power Demand and Supply Prospective in Hilly State of Sikkim, India. In
Contemporary Issues in Communication, Cloud and Big Data Analytics (pp. 385-
398). Springer, Singapore.
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