Big Data Analysis: Exploring Information Systems and Characteristics

This essay delves into the integration of information systems and big data analytics, emphasizing the characteristics of big data and the techniques used for its analysis. It highlights methods like data fusion and data integration, which combine various approaches for analyzing data from multiple sources. The essay also addresses the challenges associated with big data, such as visual representation and velocity, which concerns the speed of data processing. Furthermore, it discusses the volume of data and its continuous growth. The essay also explores how big data technology supports business by enabling better statistical analysis and customer identification, and the creation of new products and services. The document concludes by referencing academic sources that further explore the competencies of information systems and the resilience of big data analytics in organizational learning.

Introduction
Information systems can be considered as an
integration of different set of components which
helps in the collection, storing and processing of
data so that the information can be provided to
defined users. Furthermore, big data analytics
can be defined as using the advanced analytic
techniques which is helpful in large data sets
which covers the structured or the unstructured
data.
Information Systems and Big Data Analysis
Challenges of Big Data
• Visual representation of data- When the data is
represented in a graph or in a visual manner then it
creates more likely to the employees. Big data tool is
considered to very useful technique but it does not
provides the visual graph and making of such type of
graph can at time makes it irritating to the employees.
Characteristics of Big data
• Velocity- It refers to the speed at which the data is
processed in which the higher speed is considered
to be most important for the better performance of
data. The velocity will involve different
components covering rate of changes, income data
sets.
• Volume- It refers to the amount of data which
company is having which is measured with the
help of gigabytes, yottabytes and zettabytes and
this is going to rise in coming years.
References
Rodger, J.A., Chaudhary, P. and Bhatt, G., 2019. Refining
information systems competencies: the role of big data
analytics resilience in organisational learning. International
Journal of Business Intelligence and Systems Engineering.
1(3). pp.226-250.
Choi, T.M., Wallace, S.W. and Wang, Y., 2018. Big data
How Big Data technology could support
business & Examples
Big Data is a compilation of all procedures and
instruments connected to the use and management of big
data sets. With Big Data, business organizations can
utilise statistics, and find more beneficial consumers. It
can also assist the firms to generate fresh brands,
services, and commodities.
Techniques that are currently available to
analysis big data
• Data fusion and data integration- This
technique is useful in that area where there is
a combination of different set of methods
which helps in the analysis and integration of
data from different and multiple sources.