Big Data Analysis: Course Name, Semester, University Name

This report provides an overview of Big Data, its challenges, and its impact on businesses. The report discusses the importance of Big Data and the challenges associated with it. It highlights the significance of data security and the need for skilled professionals. The report also explores various techniques like Machine Learning and data analysis for effective data management. In addition, the report discusses the benefits of Big Data, such as enhanced revenue and improved communication with consumers. References are provided to support the findings and analysis.

History on big Data
Big data is used by organizations to manage their valuable
data related with the business. Big data enables businesses
to manage huge data which is hard for the traditional
software to capture.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Data refers to the valuable information which helps business
to grow in the marketplace. In today's world, data is
considered as a very precious asset. It has the power to
make an organization successful or crash it to the grounds
based on the hands in which it operates.
Characteristics of Big data
•Volume
•Value
•Variety
•Velocity
•Veracity
The challenges of big data
analytics
• Safety of data
• Collection of data from various sources
• Lack of Knowledgeable Professionals
• Lack of Understanding of Data
References
Fernando, Y., Chidambaram, R.R. and Wahyuni-TD, I.S., 2018. The impact of Big Data analytics and data security practices
on service supply chain performance. Benchmarking: An International Journal.
Zhao, P. and Hu, H., 2019. Geographical patterns of traffic congestion in growing megacities: Big data analytics from
Beijing. Cities, 92, pp.164-174.
Techniques that are currently
available to analysis big data
• Machine learning
• Classification tree analysis
• Association rule learning
• Social network analysis
Business Examples
• Data safety
• Enhanced revenue
• Open communication with consumers