BMP4005 Individual Poster and Accompanying Paper on Information Systems and Big Data Analysis

This BMP4005 individual poster and accompanying paper on information systems and big data analysis covers the history, challenges, techniques, and characteristics of big data. It also explores how big data technology can support businesses with examples. The poster and paper are based on the concept of data storage, analysis, and effective use of big data. The challenges of big data analytics include securing data, lack of knowledge professionals, poor selection of big data tool, and integrating data from a spread of sources. Techniques that are currently available to analyze big data include classification of tree analysis, association rule thumbing, and machine learning. The characteristics of big data are volume, variety, velocity, and value. The paper cites Zeadally et al.'s (2019) research on smart healthcare to support the potential solutions using internet of things (IoT) and big data analytics.

History on big Data
In this technological world, big data is
become an important part for many
business and people. It refers to
collection of data which has been
stored in software and in order to
receive, analyse and use the
information for relevant purposes.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data is a concept of data storage,
analysation and use it in an effective manner.
Characteristics of Big data
• Volume
• Variety
• Velocity
• Value
The challenges of big data
analytics
• Securing data
• Lack of knowledge professionals
• Poor selection of big data tool
• Integrating data from a spread of
sources
References
Zeadally, S., Siddiqui, F., Baig, Z. and
Ibrahim, A., 2019. Smart healthcare:
Challenges and potential solutions using
internet of things (IoT) and big data
analytics. PSU research review
How Big Data technology could
support business & Examples
Every company runs their activities
in relation to marketing, branding,
promotions, interpersonal relations
through internet and social media
ways.
Techniques that are currently
available to analysis big data
• Classification of tree analysis
• Association rule thumbing
• Machine learning
As IT sector is rapidly
growing which
enhance the use of
internet technology
and requirement of big
data.