Information Systems and Big Data Analysis

This presentation provides an introduction to big data and its characteristics, challenges faced in big data analytics, techniques available to analyze big data, and how big data technology supports businesses. The presentation also includes references for further reading. This study material is relevant for students studying Information Systems and Big Data Analysis in any college or university.

INFORMATION SYSTEMS AND BIG DATA
ANALYSIS

INTRODUCTION
The Big data is basically a combination of large
data which could be collected from various
methods such as purchasing product, social media
platforms and apps. The big data could be divided
into two parts such as unstructured data and
structured data. In reference to structured data, it is
managed and used by the organization in the data
base and spreadsheet.

Big data and its characteristics
In reference to big data, it basically defined as the quantity of data which cannot be
collected through a data system which traditional. Moreover, big data is used by
multinational companies as it could support companies in helping preferences of the
consumers.
 Volume
 Variety:
 Value:
 Veracity:
 Velocity:

Challenges of big data analytics
 Insufficient data
 Inability to understand data:
 Usage of bad quality in sourcing
 Expensive Maintenance:
 Technical issue
 Excess Pressure

Techniques available to analyze the big data
 Classification tree leaning
 Machine Learning: In machine learning
 Association rule learning
 Genetic algorithms
 Regressing analysis
 Sentiment analysis
 Social network analysis

Big Data Technology supporting Business
 Reduces overall costs
 Increases revenue and sales
 Helps in improving pricing decisions
 Provides a competitive advantage
 Boosts efficiency in decision-making

REFERENCES
 Cohen, S. and Macek, J., 2021. Cyber-Physical Process Monitoring Systems, Real-
Time BigData Analytics, and Industrial Artificial Intelligence in Sustainable Smart
 Wiech, M. and et.al., 2022. Implementation of big data analytics and Manufacturing