Analyzing Big Data with Information Systems: A Comprehensive View

This essay provides an overview of big data analysis within the context of information systems. It defines big data as a collection of data that is huge in volume and growing exponentially, presenting complexities for business organizations. The essay highlights the challenges of big data analytics, including data growth issues, lack of understanding of massive data, lack of knowledgeable professionals, and confusion in Big Data Tool selection. It discusses big data techniques such as association rule mining, classification, tree analysis, machine learning, social network analysis, sentiment analysis, and regression analysis. Key characteristics of big data—volume, variety, velocity, value, and veracity—are also explored. The essay further provides examples of how big data technology supports businesses, citing Tesco's use of big data for effective decision-making and the hospitality industry's use of trends. This document is available on Desklib, a platform providing study tools and solved assignments for students.

History on big Data
Big data can be defined as collection of
data that is huge in volume, and it is
growing exponentially with time. The large
size of data is becoming complexity for the
business organizations and the use of dig
data analysis help in proper management of
data
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data is the field that treats ways to analyze and
systematically arrange the data and information to
deal with the same. It is use of software that help
to manage the volume of data in proper manner. It
helps to address the challenges that are being faced
by the business organizations.
Characteristics of Big
data
• Volume
• Variety
• Velocity
• Value
• Veracity
The challenges of big data
analytics
• Data growth issues
• Lack of proper understanding of
massive data
• Lack of knowledge professionals
• Confusion while Big Data Tool
selection
References
Ghani, N.A. and et.al., 2019. Social media big data analytics: A survey. Computers in Human Behavior, 101, pp.417-428.
Hancock, J.T. and Khoshgoftaar, T.M., 2020. CatBoost for big data: an interdisciplinary review. Journal of big data, 7(1), pp.1-45
How Big Data technology
could support business &
Examples
• Tesco is a multinational business
organization that is using big data in
order to take effective decisions. It
helps the company collect relevant
information regarding the customers
and use the same to serve the
customers in effective manner.
• It helps hospitality industry to
understand the trend and use the same
in effective manner
Techniques that are currently
available to analysis big data
• Association rule thumbing
• Classification Tree analysis
• Machine learning
• Social network analysis
• Sentiment analysis
• Regression analysis