Information Systems and Big Data Analysis: Poster and Accompanying Paper

This document covers big data and its characteristics, challenges, and techniques of big data that organizations can have. It also describes how big data technology supports the business, which helps in decision making. The poster and accompanying paper provide insights into the role of big data in business management. The subject is Information Systems and Big Data Analysis, and the course code is BMP4005. The college/university is not mentioned.

Business Management
BMP4005
Information Systems and Big Data Analysis
Poster and Accompanying Paper
Submitted by:
Name:
ID:
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Table of Contents
Introduction................................................................................................................................3
What big data is and the characteristics of big data .......................................................3
The challenges of big data analytic...................................................................................4
The method that are presently accessible to analyses big data ......................................5
How Big Data technology could support business, an explanation with examples ........5
Poster................................................................................................................................6
Conclusion..................................................................................................................................7
References .................................................................................................................................8
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Introduction
The internet is the network of devices which network connectivity allowing to
exchange data. The information system is study of academic systems in reference to
information and networks of hardware and software which is used by organization for
collecting, processing, storing data. It is also referred as computer system where software are
installed. Personal computers, smartphones, databases are some example of information
system. The information system is used by enterprises for interaction with the customers, to
perform business operations, managing organization etc. The big data is concept of managing
large and complex data sets that conventional process application software were inadequate
to capture, manage and process data within a reasonable amount of time (Al_Janabi, end
et.al., 2018). Using big data in companies helps improve business operations and provides
better services to its customers, thereby increasing the company's overall bottom line and
sales. The document covers big data and its characteristics, challenges, and techniques of big
data that organizations can have. It also describes how big data technology supports the
business, which helps in decision making.
What big data is and the characteristics of big data
The big data can be utilized for prognostic and user synthetic behavior. It is a field of
analysis and extracting information or dealing with data sets which are too large or complex
that can be deal by traditional data processing information. Its is usage of advance analytic
techniques which involves structured, semi-structured and unstructured data form different
sources in diverse sizes from terabytes to zettabytes against large data sets. It generally
involves the collection of large data which is too complex which cannot be interpreted by
humans or traditional data management sets (Boyapati, S., Swarna, S.R., Dutt, V. and Vyas,
N., 2020). In the organization to use and track big data sets new software development is
introduced. Henceforth, big data analytic tool tracks relationship among hundred kinds and
data sources for producing useful business ability.The identifying are-
 Volume- This is associated with huge size which is create from respective daily
origin like devices, social media, human interactions, networks etc. The large amount
of data is handle by big data technologies.
 Velocity- It defines to fast petition and production of big data. It is related to speed
which creates data in real time which comprises relating of data sets speeds, rate of
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change & activity bursts. From several sources data flows with speed such as
application index, digital media sites, mobile inclination etc.
 Assortment- The big aggregation is a collection of antithetic beginning which can be
organized, unstructured and semi-structured. From past, data can be collected from
spreadsheets and databases. Now data comes in array forms that are PDFs, Emails,
photos etc. It is crucial for storage & analysis data.
 Veracity- It defines the reliability and trustworthiness of data which has several ways
of translating data. It is a process of efficiently managing and handling data which is
too crucial business development (Bravo, L.E.C., Bermudez, G.M.T. and Molano,
J.I.R., 2018).
 Value- It is needed characteristic of big data which needs to be valuable and reliable
for storing, processing and analyzing data. The poor quality data can leads to loss of
financial revenue of companies. In this raw data is converted into information and
useful data set is retrieve by cleaning data sets.
The challenges of big data analytic
The analysis of data helps companies in enhancing their business decision making as
huge amount of data is generated from business transactions. But companies encounters some
challenges of big data by handl8ing large amount of data in best way which includes process
of storing, analysing huge set of information on various data stores.
The challenges are-
 Lack of proper understanding of big data- It is a challenge for the company when
employees do not understand the data, how it is stored, processed, meaning and
sources that they may not be able to maintain sensitive backups. The database is not
being used properly for storage and the resulting data cannot be easily retrieved. To
meet such challenges, companies can organize workplace, conference and training
sessions to promote perceptive and handling of data at all levels of the organization.
 Data growth issues- Storing huge data sets properly is a big challenge. The amount of
data stored in corporate data centres and databases is increasing rapidly. Most of the
data is unstructured and comes in the form of documents, videos that you cannot find
in the database. When dealing with large amounts of data, companies rely on modern
techniques such as duplication, compression, etc. Duplication removes unwanted and
duplicate data from data sets (Chang, V., 2021). Using compaction bring down the
number of bits in the data, thereby loss the whole size.
 Lack of data professionals- The institution need skilled data professionals for running
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modern technologies and big data tools. The professionals involve data discipline,
data analysts & technologist having education in working with instrument & hold
large data sets. The companies face challenge deficiency of data professionals because
of rapid develop of managing instrument. To handle challenge establishment can
recruit skilled professionals by investing more currency. To the existing staff training
program can be offered and data analytics solutions can be purchased that powers
artificial intelligence.
The method that are presently accessible to analyses big data
As collected information generation increases, several techniques are required to
manage data as it becomes more perceptive in terms of velocity, scope, and extent. There are
various method for examine big data, which are listed in below:
 A/B testing- It is a possessed enquirer with two variable, which are plumbed until
applied measurement importantly consequence are accessible. It includes comparison
a ability abstraction with a assortment of test unit to determine alteration to better a
given objective variable. It also assist in testing large numbers when the group is big
(Fekih, R.B. and Jemili, F., 2018).
 Machine learning- It is field of artificial intelligence used for analyzing data by
working with computer formula for manufacturing suppose on data. The anticipation
is provided which is impossible for human expert. The data-driven reasoning are
made by machine acquisition by following programmer manual strictly.
 Data mining- It is a common tool and technique used in big data analysis to extract
patterns from large data sets through combination methods of statistics and machine
learning within database management. The purpose is to provide relevant information
by demonstrating the relationship between records, systems and processes.
How Big Data technology could support business, an explanation with
examples
In business organisation understanding target audience and customer preferences the
big data plays an significant role by supplying needed priceless data and visual image. The
correct data necessarily are analysed decently and presented efficaciously which assist
concern organisation in achieving content. Big data application is greater sources for
furnishing business new perspective of looking information that organisation utilizes in most
appropriate manner (Liu, Z., Choo, K.K.R. and Zhao, M., 2017).
 Better decision making- In the business big data provides tool of making smart
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decision on the basis of information not on presume. The company requires entrant to
the data for improving determination creating so that person can explore and
interrogate data for answering concern question. The example of Walmart can be
taken which provided people access of data in controlled way.
 Boosting client getting and possession- Customers are a valuable asset to the
company, using big data to observe consumer-related patterns and trends. The more of
data collection by business helps in identifying more patterns and trends. With the
help of modern technology the customer data can be easily collected by having big
data strategy and retaining customer base. The understanding of customer insights
allow business to deliver customers wants. The illustration of Coca-Cola can be
consider which carry off to change data strategy by making integral led-loyally
system (Wang, W. and Lu, C., 2020).
 Solves advertising problems and offers marketing insights- The utilisation of big data
transforms business operations by meeting customer expectations by changing the
product line or ensuring compelling marketing drive. The marketing and promotion
business channel in-depth investigation by perceptive online action, acting
transactions at points of selling, and assure that user requirements and necessarily
change. This helps in targeted and personalized campaign which saves money of
business by ensuring efficiency. The example of Netflix can be taken which uses big
data analytics for targeted advertising.
Poster
Digital poster
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Conclusion
It is being concluded that big data and information system is an crucial concept for the
business organization which helps in validating information. In the history of data analysis
the availability of big data hardware & software, and new information system has produced a
unique movement which establishes data sets quickly. The companies are now able to
evaluate data insights with accuracy and validity of data. It is an driving force for the leading
aspect just as merchandising, concern, income and investigation and many other which
changes user and goods on the basis of scheme of organization in global areas. The
characteristics are also useful in analysis and decision making for the organizations.
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References
Al_Janabi, end et.al., 2018, November. Multi-level network construction based on intelligent
big data analysis. In
International Conference on Big Data and Smart Digital
Environment (pp. 102-118). Springer, Cham.
Boyapati, S., Swarna, S.R., Dutt, V. and Vyas, N., 2020, December. Big Data Approach for
Medical Data Classification: A Review Study. In
2020 3rd International Conference on
Intelligent Sustainable Systems (ICISS) (pp. 762-766). IEEE.
Bravo, L.E.C., Bermudez, G.M.T. and Molano, J.I.R., 2018, June. Big data: An exploration
toward the improve of the academic performance in higher education. In
International
Conference on Data Mining and Big Data (pp. 627-637). Springer, Cham.
Chang, V., 2021. An ethical framework for big data and smart cities.
Technological
Forecasting and Social Change,
165, p.120559.
Fekih, R.B. and Jemili, F., 2018, December. Distributed Architecture of an Intrusion
Detection System Based on Cloud Computing and Big Data Techniques. In
International
conference on the Sciences of Electronics, Technologies of Information and
Telecommunications (pp. 192-201). Springer, Cham.
Liu, Z., Choo, K.K.R. and Zhao, M., 2017. Practical-oriented protocols for privacy-
preserving outsourced big data analysis: Challenges and future research
directions.
Computers & Security,
69, pp.97-113.
Wang, W. and Lu, C., 2020. Visualization analysis of big data research based on
Citespace.
Soft Computing,
24(11), pp.8173-8186.
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