Information Systems and Big Data Analysis - Desklib

This presentation provides an overview of Information Systems and Big Data Analysis, including its characteristics, techniques, and challenges. It explains what big data is and how it is managed with the help of updated equipment, software, and systems. It also discusses the challenges of big data analytics, such as lack of knowledge professionals and proper understanding of massive data. Additionally, it covers techniques currently available to analyze big data, including machine language, data mining, and data fusion and integration. Finally, it provides business examples and references.

History on big Data
Information technology is basically defined as a digital or
online platform which is managed with help of utilizing
updated equipment's, software and systems. In present
scenario technology is one of the factor which is highly
utilized by all customer segments for fulfilling their
requirements in time.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data is defined as the data or information in high volume which
is stored by all types of international organization in aspect of
providing quality service to customers in time. Big data also assist
to manage the flow of service between employees and consumers in
long term.
Characteristics of Big
data
• Volume
• Veracity
• Variety
• Value
• Velocity
The challenges of big data
analytics
• Lack of knowledge professionals
• Lack of proper understanding massive data
• Integrated data from a spread of sources
References
• Bao, R., Chen, Z. and Obaidat, M.S., 2018. Challenges and techniques in Big data security and privacy: A review. Security and
Privacy, 1(4), p.e13.
• Jeske, D. and Calvard, T., 2020. Big data: lessons for employers and employees. Employee Relations: The International
Journal.
Techniques that are currently
available to analysis big data
• Machine language
• Data mining
• Data fusion and integration
Business Examples
• In first big data is very important in aspect of
managing the customer satisfaction level at higher
rate
• Second improvement is that big data also assists the
managers of organization in aspect of taking
effective and better decision.