Information Systems and Big Data Analysis

INTRODUCTION
Information system is an integrated set of components for processing,
storing and collecting data in order to provide digital products,
knowledge and information. It is a data with large, more complex data
sets, specifically from new data sources. This poster will cover the
concept and nature of big data and its characteristics.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data is the data that involves a greater variety, arriving in increasing volumes
and with more velocity. It refers as a term that describe a collection of data that is
large in size and yet it is growing exceptionally with the time. Big data is a
combination of structured, structured and unstructured data collection through
organisations that is mined with information and used in machine learning
projects to predicts modelling and other innovative analytics applications.
Characteristics of Big data
•Volume
•Variety
•Velocity
•Value
•Veracity
The challenges of big data
analytics
• Data integration-
• Data complexity
References
Chinnaswamy, A. and et. al., 2018. Big data visualisation, geographic information systems and decision making in healthcare
management. Management Decision.
Guha, S. and Kumar, S., 2018. Emergence of big data research in operations management, information systems, and healthcare:
Past contributions and future roadmap. Production and Operations Management, 27(9), pp.1724-1735.
Techniques that are currently
available to analysis big data
• Data mining
• Machine learning
• Statistics-
Business Examples
• For example, the financial services firms are using the big
data system for risking the management in real-time analysis
of the market data.
• For example, the manufacturer and transportation companies
are relying on the big data in order to manage the supply
chains and to optimize delivery routes.