BSc BMP4005: Information Systems and Big Data Analysis Report

This report provides an overview of big data analysis within the context of information systems. It defines big data and its key characteristics, including volume, variety, and velocity. The report identifies challenges in big data analytics, such as data integration, complexity, and protection. Various techniques for analyzing big data are discussed, including data mining, machine learning, and statistical analysis. Furthermore, the report explores how big data technology can support business through improved data management, enhanced data privacy, increased customer engagement, and overall business development, providing examples of companies like Morris Garages, Astra Zeneca, Tesco, and Amazon. The report concludes with a list of references used.

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
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Introduction
In modern aggressive global huge statistics era is rising with a growth this is growing a
large effect on IT industry. The instance of Big Data era are Hadoop, Spark, NO-SQL,
Hive and Cloud. These technological software program facilitates in storing and dealing
with huge statistics associated with a enterprise. The huge statistics era additionally
consists of evaluation of different factors that like statistics control and statistics garage
which are vital for boom of a enterprise and develops synchronisation of huge statistics.
There are majorly varieties of huge statistics technology which can be operational and
analytical huge statistics era (Du, 2021). It is principal paintings of IT branch in a
employer to examine and keep huge statistics in a particular manner to help employer
operations. Big statistics era is likewise beneficial in growing the extent of secure
operations which can be vital for a enterprise to broaden huge statistics associated
operations. The huge statistics era is taken into consideration as principal step that's vital
for shielding critical statistics associated with customers. In the fulfillment of a employer
on the market huge statistics era play a critical position via way of means of giving
precedence to big statistics control in a particular manner.
What big data is and the characteristics of big data
It is vital for a agency to discover different factors which can be associated with
huge information generation on the way to accomplish achievement on the marketplace.
The important traits of huge information generation are noted below:
• Volume of information- In popular case associated scenario, it's miles vital for a agency
to increase unique method in managing huge quantity of information. Big information's
quantity is huge and variety of purchasers is continually excessive in case of
establishment and country wide companies. In order to deal with huge quantity of
information that is vital for a agency it's miles important duty of a commercial enterprise
to rent professional and educated employees.
• Variety of information- The style of information is tremendous in case of huge
information generation that is vital to be maintained in an powerful way it consists of
classes of information (Liu, 2018). In order to ensure that the style of information is
transferred in a unique way, a agency has to do numerous responsibilities like monetary
control and commercial enterprise method preparation.
• Velocity of information- It is taken into consideration as the velocity of information via
which it's miles transferred from one supply to another. In the current instances pace of
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information is controlled through superior software program like HADOP HPCC
withinside the commercial enterprise. It may be very a good deal vital for a agency to
control pace of information continuously for long time achievement of commercial
enterprise.
The challenges of big data analytics
Big statistics era and its utility in a enterprise is irreplaceable in nature, maximum
of the corporations these days use massive statistics era. It is crucial for a enterprise to
consciousness on massive statistics for long time consumer satisfaction (Singh, 2019). In
the latest instances demanding situations associated with massive statistics are growing
every day so there's a robust want for statistics evaluation so as to manipulate consumer
statistics. In order to address demanding situations associated with massive statistics
analytics the control have to create an intensive evaluation of skills via way of means of
taking recommendation of IT professionals. The major demanding situations in massive
statistics analytics are cited below:
• Data integration- In the control of massive statistics era statistics statistics integration is
taken into consideration as a prime undertaking. The statistics integration play a vital
position in coping with statistics from massive range of reassets. A researcher collects
statistics from many reassets and it turns into most important duty of a researcher to
facilitate statistics integration.
• Data complexity- In order to deal with statistics complexity it's miles critical for a
researcher to conquer numerous troubles and practices (Singh, 2019). The statistics is
complicated and inflexible in lots of instances which makes difficult for researcher to deal
with statistics. Data complexity is a prime undertaking and it's miles moral responsibility
of IT professionals in a enterprise to deal with statistics complexity.
• Data protection- The major trouble and undertaking in statistics coping with and
preservation is statistics protection. It is most important position and duty of control to
deal with statistics protection with most important endurance so as to manipulate
protection of statistics. In the arena of era there are numerous assaults like malware and
adware can effect complete statistics. It is crucial for researcher to examine and broaden
massive statistics even as maintaining thoughts numerous protection troubles.
The techniques that are currently available to analyse big data
The strategies to be had to examine huge statistics are referred to below:
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• Data mining- The statistics mining is a not unusualplace device utilized by a enterprise
to deal with huge statistics analytics. The statistics mining extracts styles from huge
statistics set combining strategies from records and gadget mastering inside the
database management.
• Machine mastering- This message is associated with synthetic intelligence, gadget
mastering is particularly associated with the size pc technological know-how and
algorithms. The gadget mastering additionally presents numerous evaluation which can
be primarily based totally on numerous perspectives.
• Statistics- The technology that process, manage, and examine this statistics are of a
wholly exclusive and expansive field, that further evolves and develops over time.
Techniques and technology aside, any shape or length of statistics is valuable. Managed
correctly and effectively, it may monitor a bunch of enterprise, product, and marketplace
insights
How Big Data technology could support business, an
explanation with examples
In contemporary aggressive surroundings the huge records generation facilitates a
commercial enterprise to develop at a quicker tempo with the aid of using facilitating a
organization in dealing with unique records of clients (Siyuan, 2018). Many commercial
enterprise company can broaden aggressive benefit with the assist of huge records
generation. The huge records generation is beneficial in assisting a commercial
enterprise with the assist of following factors:
• Management of records- Big records generation facilitates in control of records that is
beneficial for the commercial enterprise in a scientific manner. In huge records
generation use of superior software program and structures makes it clean for
commercial enterprise to control massive quantity of records. The records that is
controlled with the aid of using huge records generation, is to be had for a commercial
enterprise for a long term which facilitates in patron dealing with. For example, Morris
Garages is a multinational UK primarily based totally vehicle organisation which exactly
manages massive quantity of records in one-of-a-kind elements of globe with the assist
of huge records generation.
• Privacy of records- The privateness of records is likewise critical for each organisation
and clients in a primary sense. Use and alertness of huge records generation play a
primary function in commercial enterprise improvement with the aid of using preserving
privateness of records of clients. This will increase religion of clients with the aid of
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using preserving privateness of massive quantity of records. For example, Astra
Zeneca that is a British multinational pharmaceutical organisation continues
privateness of records with the assist of huge records generation.
• Customer engagement- The patron engagement is likewise facilitated with the aid of
using huge records generation because it facilitates in synchronisation of records. It is
primary obligation of IT branch in a commercial enterprise to control records in step
with quantity of clients (Tiwari, 2018). Customer engagement is pinnacle precedence of
each commercial enterprise, so huge records generation facilitates in growing fee of
commercial enterprise with the aid of using growing patron pride because it develops
patron's agree with in a commercial enterprise. Tesco that is a British multinational
retail organisation achieves patron engagement and pride with the assist of huge
records generation.
• Business improvement and increase- In the marketplace, fulfillment of commercial
enterprise dreams and targets is essential goal of each commercial enterprise
company. With the assist of huge records generation, commercial enterprise
improvement and increase is carried out with the aid of using a commercial enterprise
in a fixed length of time. Example, Amazon that is an American e-trade marketplace
participant achieves majority of goals with the assist of huge records generation in
global marketplace.
Poster
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References
Books and Journals
Choi, T.M., Wallace, S.W. and Wang, Y., 2018. Big data analytics in operations
management. Production and Operations Management, 27(10), pp.1868-
1883.
Du, G., Liu, Z. and Lu, H., 2021. Application of innovative risk early warning mode
under big data technology in Internet credit financial risk assessment. Journal
of Computational and Applied Mathematics, 386, p.113260.
Liu, Y., 2018, January. Big data technology and its analysis of application in urban
intelligent transportation system. In 2018 International Conference on
Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 17-19). IEEE.
Singh, N., 2019. Big data technology: developments in current research and
emerging landscape. Enterprise Information Systems, 13(6), pp.801-831.
Singh, S.K. and El-Kassar, A.N., 2019. Role of big data analytics in developing
sustainable capabilities. Journal of cleaner production, 213, pp.1264-1273.
Siyuan, F.E.I., 2018, January. Overview of application of big data technology in
power distribution system. In Proceedings of the CSEE (Vol. 38, No. 1, pp.
85-96).
Tiwari, S., Wee, H.M. and Daryanto, Y., 2018. Big data analytics in supply chain
management between 2010 and 2016: Insights to industries. Computers &
Industrial Engineering, 115, pp.319-330.
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