Information Systems and Big Data Analysis: History and Techniques

This essay provides an overview of big data, tracing its history and highlighting its key characteristics such as volume, variety, velocity, value, and veracity. It discusses the challenges associated with big data analytics, including data growth issues and a lack of knowledgeable professionals. The essay outlines various techniques used to analyze big data, including association rule mining, A/B testing, data mining, social network analysis, classification, tree analysis, and regression analysis. It also provides business examples, such as the hospitality sector and Tesco, illustrating how big data is utilized to manage information and gain insights. The essay concludes with references to support the information presented, emphasizing the role of big data analytics in developing sustainable capabilities.

History on big Data
Big data has facilitated the work on managing the work in
an effective manner. There is need of software that help in
managing the data and it is a complex process. It can be
defines as collection of data that contains great variety,
increasing volume and great velocity .
Information Systems and Big Data Analysis
Name of the Student
What is big Data
There is huge information and data that is being collected by the
business organisation. The use of big data helps to manage the
information and get useful data from the same. It is a field that
helps to analyse and systematically extract information from data
sets .
Characteristics of Big
data
• Volume
• Variety
• Velocity
• Value
• Veracity
The challenges of big data
analytics
• Data growth issues
• Lack of proper knowledge of massive data
• Lack of knowledge professionals
References
Singh, S.K. and El-Kassar, A.N., 2019. Role of big data
analytics in developing sustainable capabilities. Journal
of cleaner production, 213, pp.1264-1273.
Techniques that are currently
available to analysis big data
• Association rule thumbing
• A/B testing
• Data mining
• Social network analysis
• Classification Tree analysis
• Regression analysis
Business Examples
• The hospitality sector is also using big data and
getting benefits by using the same. There is need to
manage the data so that insights can be taken.
• Tesco uses the data in order to now about the
competitors and the strategies being used by them