Information Systems and Big Data Analysis: Techniques and Impact

This report provides an overview of Big Data, starting with its historical roots in 1963 and its formal naming in 2005. It outlines the four key characteristics of Big Data: volume, velocity, variety, and veracity. The report discusses the challenges associated with Big Data analytics, such as data fusion, data integration, expensive maintenance, and the need for skilled experts. It also explores available techniques like data mining, machine learning, and statistical analysis. Furthermore, the report examines how Big Data technologies can support business by improving customer service, personalizing marketing campaigns, and increasing revenue. The document concludes by referencing a study on Big Data applications in the medical field, highlighting the importance and impact of Big Data across various sectors.

History on big Data
The Big Data was established in 1963 by John Graunt for storing big
amount of data when they studied about bubonic plague. Further in
2005, Big Data was name and label by Roger Mougalas and it was
done for representing tools which was used for set large data at that
time which was impossible to manage and process of business
(Huang, Wang and Huang, 2020).
Information Systems and Big Data Analysis
Name of the Student
What is Big Data
Big Data is huge number of information or data which is stored and contains
greater variety, increased in volume and have more velocity. Big Data is
having larger, more complex set of data and especially from their new data
source.
Characteristics of Big data
There are mainly 4 characteristics of Big data which is explained
below:
Volume
Velocity
Variety
Veracity
The challenges of big data
analytics
The challenges faced by an Enterprise while doing Big data analytics
is explained below:
Real-Time Big Data Problem
Expensive Maintenance
Inaccurate Analytics
Finding Experts who are able to analyse Big Data
References
Khan, I.H. and Javaid, M., 2021. Big data applications in medical field:
A literature review. Journal of Industrial Integration and
Management, 6(01), pp.53-69.
How Big Data technology
could support business &
Examples
The Big Data technologies will impact organization process by many
ways to improve their business operations, it enhances the
performance of customer service. It also creates personalized
marketing campaigns, and take over other actions which ultimately
increase revenue and profits.
Techniques that are currently
available to analysis big data
In advancement of technology in country there many techniques which are
currently available to operates to analyse Big Data are explained below:
Data fusion and Data integration
Data Mining
Machine Learning
Statistics