Information Systems and Big Data Analysis

This presentation covers the basics of big data, its challenges, techniques for analysis, and characteristics. It also explores how big data technology can support businesses with examples. The subject is Information Systems and Big Data Analysis.

History on big Data
Big data is a form of technology which is used in storing,
analyzing and managing the massive data. It is a tool
which is used to identify the patterns of the data. This
form of data is different because it is difficult to handle
and manage the large data
Information Systems and Big Data Analysis
Name of the Student
What is big Data
It is the structure of technology in which it utilized for keeping,
examining and handling the enormous information. This
equipment is mainly utilized to determine the designs of data in
various type of areas like; gambling, protection of environment
surroundings, agriculture, medicine and The form of big data is
essential.
Characteristics of Big data
There are various features of big data which can be
explained as given below:
•Value: This is very essential feature of big data, it is
mainly assist in determining the worth of big data along
with the designs from the order of information. Which
express the outcomes of maximizing the firm performance
very effectively.
•Volume: In this feature of big data, it indicates that the
information is present in high amount and it can't be
possible to execute in a very simple manner. It shows
some collection of data. It mainly helps in gathering the
actual raw data and figures which are not categorized. The
approach of automated data storing is a procedure of
recording the information which mainly assists to examine
the detail and create feedback according to the data.
The challenges of big data
analytics
There are various challenges of big data which can be
explained as given below:
•Combination of data through the extent of origin: It
involves some various origins of gathering the
information. The data can be gathered through the logs
of customer, financial records, reports made by workers,
demonstration of emails and social media sites(Barnes,
Guo and Chan, 2022). Data combination is very essential
for illuminate the outputs and prepare the opinions on
that basis.
•Lack of skills and understanding: This is one of the very
big challenge for the organizations to manage some of
the technology. Then the companies required some of
the trained employees to operate that technologies..
Agrawal, R., Delen, D. and Benjamin, B., 2019. Clinical
intervention research with EHR a big data analytics
approach. In 25th Americas Conference on Information
Systems, AMCIS 2019.
Astill, J and et.al., 2020. Smart poultry management: Smart
sensors, big data, and the internet of things. Computers
and Electronics in Agriculture. 170. p.105291.
Barnes, S.J., Guo, Y. and Chan, J., 2022. Big Data analytics
How Big Data technology could
support business & Examples
• Enhance the product quality: Big data help in
analyzing the demand of the consumers which help to
improve the quality of existing product. It also
suggests the company to launch new product to meet
consumer wants. Big data provide support in that
areas where company is lacking.
• Data safety and security: Big data ensure that the data
is stored at a place where it is secured and protected
from the various risks, frauds and hacking.
Techniques that are currently
available to analysis big data
• Mining of data: In this method of big data analysis the
procedure of data extract authorize the firm to mining the
information from the bigger excavation. It is utilized to
determine designs and correlated the available bunch of
information.
• A/B testing: The equipment of A/B testing assists in
relating the control classification and experimental
category. In this beginning time of A/B testing, the theory
are made and variables teams it includes autonomous and
parasitic variables which are to be completed(Du and
et.al., 2021). This test is executed on autonomous
variables and influence is researched on the parasitic
variable.