Big Data Analysis: Techniques, Challenges, and Business Support

This presentation provides an overview of big data analysis, including its history, challenges, and techniques such as A/B testing and data combination. It also explores how big data technology can support businesses with examples such as developing better structural decisions and enhancing business operations. References are included.

History on big Data
Big data means the collection of data
to retain the information on the
internet. The data or the information
is being stored in a huge amount.
Besides, historical data, big data helps
to store number of data and large
variety of information on the internet.
The concept of big data is fabricated
with the help of technological
advancements and growth.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data can be defined as the collection of
organized or unorganized data by
recognizing the appropriate data or
information on the internet. The sources
through which the data is being
accumulated are, various online platforms,
customers, different servers, etc. It can be
utilized in every field of technology.
Characteristics of Big data
• Volume
• Variety
• Velocity
• Variability
The challenges of big data
analytics
• Difficult to understand the concept
of big data.
• The data related issues.
References
Hancock, J.T. and Khoshgoftaar, T.M.,
2020. CatBoost for big data.
How Big Data technology
could support business &
Examples
• Develop better structural decisions
• Apprehending the customers
• Enhance the business operations
• Ensures income proficiency
Techniques that are currently
available to analysis big data
• A/ B testing
• Data combination and data merger