Information Systems and Big Data Analysis: Business Applications

This essay provides an overview of big data analysis within the context of information systems, tracing its history and defining its key concepts. It discusses the characteristics of big data, including volume, variety, and velocity, and explains how big data technology supports business by analyzing consumer trends and predicting future demands. The essay also addresses the challenges of big data analytics, such as the lack of professional knowledge, confusion in technique usage, data integration issues, and the need for data synchronization. Furthermore, it outlines various techniques available for analyzing big data, including data mining, machine learning, and statistics, highlighting their assistive role in business decision-making. The essay references scholarly articles to support its claims and provide a comprehensive understanding of the subject.

History on big Data
The first big data was traced in 1663 at time when
John Graunt was dealing with large amount of
information studying relating to bubonic plague.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
The big data is being defined as the process of
examining the data which is large in numbers and
identify the hidden patterns. This is essential for the
businesses to analyse and evaluate big data in order to
identify the trends and working patterns. It is crucial for
the business as it will assist the company in taking
better and effective decision for the growth and
development of business.
Characteristics of Big data
The various characteristic relating to big data is
as follows-
• Volume
• Variety
• Velocity
The challenges of big data
analytics
The various challenges being faced by big data
analytics involves the following-
• Lack of professional knowledge
• Confusion relating to use of technique
• Integration of data from different sources
• Need of synchronization of data
References
Zhu, L. and et.al., 2018. Big data analytics in
intelligent transportation systems: A
survey. IEEE Transactions on Intelligent
Transportation Systems. 20(1). pp.383-398.
Saggi, M. K. and Jain, S., 2018. A survey
towards an integration of big data analytics to
big insights for value-creation. Information
Processing & Management. 54(5). pp.758-790.
How Big Data technology
could support business
• assistive for businesses to take decision
• used by the companies for analysing the
consumer trend and preferences
• assistive to business in predicting the future
demand of the company
Techniques that are currently
available to analysis big data
There are many different techniques which can be used
by the company in order to analyze big data. These
techniques involves-
• Data mining
• Machine learning
• Statistics