Big Data Analysis and Its Techniques for Business Development

This presentation provides an overview of big data analysis and its techniques for business development. It covers the characteristics of big data, challenges and issues related to it, and techniques available to analyze it such as machine learning, statistics, and data mining. The presentation also discusses how big data technology can support business development and provides examples of its benefits.

History on big Data
Big data is considered as key approach in
maintaining large amount of data of key
customers (Ahsan, and Bais, 2017). In the
functioning of a business, it is main and ethical
duty of management to focus on development of
key operations related to big data in order to
serve demands and needs of the customers in a
well defined manner. The big data technology is
considered as a key IT tool which helps the
business entity to manage large database of
customers.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
The big data technology is supportive for a business in
enhancement of its competitive strength. In order to
manage big data, it is essential for a business to include
key IT professionals in majority of operations. This
project will include a description of big data and its
characteristics. Challenges and issues which are related to
the big data are also considered in this project. This
project will also focus on various techniques which are
available to analyse the big data along with analysis of
the big data technology can develop a business entity.
Characteristics of Big data
The main characteristics of big data are
mentioned below:
• Variety of data
• Volume of data
• Velocity of data
The challenges of big data
analytics
The major challenges in the field of big data
technology are mentioned below:
• Integration of big data
• Complex data
How Big Data technology could
support business & Examples
The key benefits of Big data technology are
mentioned below:
• Helpful in increasing huge set of data of
major customers
• Focus on big data management
• Development and expansion of an
organisation
Techniques that are currently
available to analysis big data
The major techniques to analyse big data are explained
below:
• Machine learning
• Statistics
• Data mining REFERENCES
• Ahsan, U. and Bais, A., 2017, April.
Distributed big data management in smart
grid. In 2017 26th Wireless and Optical
Communication Conference (WOCC) (pp.
1-6). IEEE.
• Alharthi, A., Krotov, V. and Bowman, M.,
2017. Addressing barriers to big
data. Business Horizons, 60(3), pp.285-292.