Big Data Analysis: Information Systems, Challenges & Business

This report provides an overview of big data analysis within the context of information systems. It begins by defining big data and its historical background, before delving into the challenges associated with big data analytics, such as a lack of knowledge and the complexities of choosing the right tools. The report highlights key techniques for analyzing big data, including A/B testing, machine learning, statistics, and natural language processing. Furthermore, it discusses the characteristics of big data, emphasizing volume, veracity, and its importance in business development. The report illustrates how big data technology supports businesses through enhanced customer reach, effective communication, and personalized marketing campaigns. The included reference supports incorporating big data within retail organizations.

History on big Data
The big data is defined as an integrated set of
components for collecting, storing, and
processing data and for providing information,
knowledge, and digital products. Information
systems are used to run inter organizational
supply chains and electronic markets.
Information Systems and Big Data Analysis
What is big Data
This is defined as the grater variety of the data which is
stored by the various organisations. This describes large,
hard-to-manage volumes of data – both structured and
unstructured that inundate businesses on a day-to-day
basis. Big data can be analysed for insights that improve
decisions and give confidence for making strategic.
Characteristics of Big data
The name Big Data itself is related to an
enormous size. Big Data is a vast 'volumes' of
data generated from many sources daily, such
as business processes, machines, social media
platforms, networks, human
interactions, and many more.
Veracity means how much the data is reliable. It
has many ways to filter the data. Veracity is the
process of being able to handle and manage
data efficiently. Big Data is also essential in
business development.
The challenges of big data
analytics
A lack of the knowledge can be a biggest
challenge as if the person is not aware of the
various software then there is no use of the big
data analytics.
It is also challenging by the person to use of the
various tool. At times it is confusing that which
tool can be beneficial for the business
organisation and which is not.
References
Aversa, J., Hernandez, T. and Doherty, S., 2021. Incorporating
big data within retail organizations: A case study
approach. Journal of retailing and consumer services, 60,
p.102447.
How Big Data technology
could support business &
Examples
Big data supports organization in an immense
manner. It helps organization to reach maximum
customers. It helps in making effective
communication with the consumers. It supports
is making personalized marketing campaigns.
Techniques that are currently
available to analysis big data
A/B testing
Machine learning
Statistics
Natural language processing