Information Systems: Big Data Analysis & Business Operations

This report delves into the realm of big data and its pivotal role in shaping contemporary business operations through information systems. It highlights the defining characteristics of big data, emphasizing volume, variety, and velocity, and explores the inherent challenges in big data analytics, such as knowledge gaps, data understanding, data growth, tool selection, and security concerns. Various techniques currently employed for big data analysis, including A/B testing, data fusion, data mining, machine learning, and natural language processing, are discussed. The report concludes by summarizing how big data management can help organizations sustain business, enhance revenue streams, and ensure data safety, ultimately leading to market recognition and consumer satisfaction. Desklib provides access to this and other solved assignments for students.

History on big Data
Big data is used to process the volume of data which is hard to
manage and this determines the business operations of daily
basis. With the help of big data organization get help, and they
will easily analyse the insight of the business by which
organization get improvement and help. This report includes the
information about the big data and their characteristics by which
they stimulate the work and challenges in big data analytics. The
report also includes the techniques by which they currently use in
the big data, also how this will use in the organizations to support
their day to day business activity.
Information Systems and Big Data Analysis
Name of the Student
Big data
Big data in simple words determine as character by which the business
operations is performed by the computer and it stored the record of the
organization. By electric signals, recording media etc. this is a non-
traditional method to interpret the data and management of the
organization. This includes the large amount of data of the companies.
Structured
Characteristics of Big data
Volume:big data usually determine the size which is already
big and the size of the big data is an important part.
Variety: this represents the heterogeneous source that include
the various range of data and include the images, emails,
photos etc.
References
Books and Journals
Oussous, A., Benjelloun, F.Z., Lahcen, A.A. and Belfkih, S.,
2018. Big Data technologies: A survey. Journal of King Saud
University-Computer and Information Sciences, 30(4),
pp.431-448.
How Big Data technology could support business
Big data involve in the advancement of the business and their
betterment by which this will the organization.
Consumers: nowadays the consumers are smart enough to
mange and understand the priorities.
Re development of products: big data help the organization
in order to maintain the standard of the organization by
which they will evaluate the feedbacks.
Data safety: this includes the tool which allows the
organization to map the landscape of the data and safe the
company by their safety measure.
New revenue stream: with the help of big data organization
will get help and it enhances the revenue also with that
organization.
Techniques that are currently available to analysis big data
The big data techniques which is usually great for organization software
and services of the organization.
A/B testing: this type of technique helps the organization in order to
control a group.
Data fusion: this type of data involve the multiple source and solutions
for the data analysation.
Data mining: this will determine the data analytics and pattern of the
large data in the organization.
Machine learning: with the help of artificial intelligence organization
also manage their data with this technique by emerging the computer
science.
Natural language processing( NLP): These techniques evaluate the
data and apply the perfect tool, techniques for the organization.
The challenges of big data analytics
Lack of knowledge: as the big data process is normally used by a
knowledgable person who know that how to use the technology
and evaluate, analyse the data.
Lack of understanding of data: in many companies they are fail
to take initiative in the big data because they have the insufficient
knowledge about this and although the employee of the company
also do not know about the sources, data and process of the big
data.
Growth in data: this is also an issue for the data storage and
setting up the perfect knowledge for this.
Confusion in tool selection:many companies got confused while
selection of the perfect tool for the company.
Securing data: this indicates the knowledge and huge amount of
skill to evaluate the data and secure them for the betterment of the
company.
CONCLUSION
Summarize report conclude the information about the
big data management and how this will help the organization in order
to manage and sustain business and make recognition in the market
with the help of big data.