Big Data Analysis: History, Characteristics, and Business Applications

This presentation provides an overview of big data analysis, including its history and characteristics. It explores how big data can be used to support businesses, and discusses techniques for analyzing big data, such as data mining and machine learning. The challenges of big data analytics and data security are also addressed.

History on big Data
In addition to it, the commercial business requires to make
effectual software which is operated for the monitoring the
operations as well as functions of the company which are
linked to the techniques of big data.
Information Systems and Big Data Analysis
What is big Data
Big data is known as one of the largest element of the data that
means to the diverse customers in the company.
Characteristics of Big data
• The volume of data
• Variety of data
The challenges of big data
analytics
• Data security
• Data complexity
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.
• Qi, C.C., 2020. Big data management in the mining
industry. International Journal of Minerals, Metallurgy
and Materials, 27(2), pp.131-139.
How Big Data technology could
support business & Examples
• Management of data
• Privacy of data
Techniques that are currently
available to analysis big data
• Data mining
• Machine learning