Information Systems: Big Data Analysis, Challenges, and Business Use

This essay provides an overview of big data, starting with its definition as a field focused on discovering methods for systematically arranging large information sets. It traces the history of big data from the census crisis to the social media revolution and increased storage capacity. The essay outlines the key characteristics of big data, including volume, variety, veracity, and value, and discusses the challenges associated with big data analytics, such as the growth of data, lack of understanding, shortage of professionals, and tool selection confusion. It also explores techniques for big data analytics, including association rule thumbing, classification tree analysis, machine learning, social network analysis, and regression analysis. The essay concludes by highlighting how big data technology supports business, citing Morrisons, a UK-based retail company, as an example of using big data analytics for strategic decision-making. The references include academic sources that provide further insights into the integration of big data analytics for value creation.

History on big Data
History of big data has come through census crisis,
information explosion, programmable computer, relational
database, social media revolution and increased storage
capacity.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data refers to the field that essentially discover varied ways for
evaluating as well as systematically arranging large information
sets. It is concerned with the use of varied softwares for managing
the data in an effective manner.
Characteristics of Big data
Varied characteristics of big data are as follows
• Volume
• Variety
• Veracity
• Value
• Velocity
The challenges of big data
analytics
Varied Issues of big data analytics are:
• Issues related to growth of data
• Lack of understanding regarding large amount of data
• Shortage of professionals
• Confused in determining the tool for big data analytics
References
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.
Silva, B. N., Diyan, M. and Han, K., 2019. Big data analytics. In Deep
Learning: Convergence to Big Data Analytics (pp. 13-30). Springer
How Big Data technology could
support business & Examples
Big data plays a vital role in business organisations as it
helps them to enhance their operations and make
effective modifications in obsolete processes
For example, Morrisons which is an UK based retail
company having varied supermarkets use big data
analytics software for making strategic as well as critical
decisions.
Techniques that are currently available
to analysis big data
Varied techniques for big data analytics are as follows:
• Association rule thumbing
• Classification tree analysis
• Machine learning
• Analysis based on social network
• Regression analysis