Information Systems and Big Data Analysis

This presentation discusses the concept of big data analysis and information systems, their characteristics, challenges, and techniques available for analysis. It also highlights the role of big data in supporting businesses and understanding customers.

History on big Data
Most of the organisation work with large amounts of data. Data cab be refer
as basic values or facts which are organized in a database. Mostly people
think that data is synonymous with information, whereas, information is a
collection of data that has been organized to help answer questions and to
solve problems. Information system is a software which helps in organize and
analyse the data. Major purpose of this system is to turn raw data into useful
information which will help the organisation in decision making. Big data
analysis is an activity used to pull out purposeful insights, such as invisible
patterns, unknown correlations, market trends, and customer preferences.
This analysis provides various advantages, which includes better decision
making, preventing fraudulent activities, among other things (Handayani,
P.W., Hidayanto, A.N. and Budi, I., 2018).
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data analysis examine the galactic amount of data to uncover hidden pattern,
correlations and other insights. With current technology proficiency, it is possible to
analyse your data and get answers almost immediately. There are millions of data sources
that generates data at a really speedy rate. These data sources are existing crossways of the
world. Taking an example, of some largest sources of data from social media platforms,
such as Facebook, it generates more than 500 terabytes of data on daily basis which
includes pictures, videos, messages, etc. There is different formates of data, like
structured data, semi-structured data and unstructured data.
Characteristics of data:
Volume: The huge amount of data that is collected and generated every second in large
organisation is termed as volume. It generally generates from different sources such as,
social media, videos, financial transactions, etc. The volume of data can be measured by
Gigabytes, Zettabytes, and Yottabytes. In accordance to the trends in industry, it is
expected that the volume of data is on the verge of expansion in the future (Aboelmaged,
M. and Mouakket, S., 2020).
Variety: Variety refers to different sources of data and their nature. Earlier, the data is
only available in spreadsheets and databases, but nowadays, data it is available in the
form of photos, audio files, videos, text files, and PDFs.
The challenges of big data analytics
Big data challenges include the best way of treating the many amount of data
which involves the procedure of storing, analysing the huge set of
information on different data stores. There are some challenges which comes
into the way while dealing with big data. The challenges are listed below:
Lack of data professionals: Data professional are very important in the
organisation to run these modern technologies and big data tools. Data
scientists, data analysts and data engineers are the types of data professional,
who has working experience with tools and make some sense out of huge
data sets. The solution for this challenge is, that the companies should invest
more money in the recruitment of skilled professionals. They can also
organise a training programs to existing staff to get more out of it.
Lack of proper understanding of massive data: Due to having large amount of
data it become difficult for the companies to understand the data properly.
Some of the employee may not know what data is, its storage, process,
importance ans source. Data professionals has proper knowledge of what is
going on, but others may not have any clear idea. The solution for this
challenge is that the companies should plan a proper workshop and seminars
for the other employees (Gökalp and et. al., 2019). Accurate training should
be provided for those employees who are handling the data regularly and to
those who are a part of big data projects.
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References
Handayani, P.W., Hidayanto, A.N. and Budi, I., 2018. User acceptance
factors of hospital information systems and related technologies:
Systematic review. Informatics for Health and Social Care, 43(4), pp.401-
426.
Aboelmaged, M. and Mouakket, S., 2020. Influencing models and
determinants in big data analytics research: A bibliometric
analysis. Information Processing & Management, 57(4), p.102234.
Salehan, M. and Kim, D.J., 2016. Predicting the performance of online
consumer reviews: A sentiment mining approach to big data
analytics. Decision Support Systems, 81, pp.30-40.
Techniques that are currently available to analysis big data
Big data technology has a significant role in supporting the various
businesses of the organisations. The various ways in which the big data
has supported the business of the organisations have been discussed
below.
Helps in understanding the customers- The big data has a contribution in
the data collection from the various social media sites like Facebook. The
social media profiles or the websites contain huge data and information
regarding an individual (Tanwar, S., Tyagi, S. and Kumar, N. eds., 2019).
The organisations can use these big data in order to generate information
and provide suitable recommendations as well. It is very well understood
that in order to serve the customers, it is very important to have ample
information regarding them. For example, Disney has taken the the big
data technology on leverage in order to understand the behaviour of the
individuals who are visiting the theme park. This step has been taken by
the organisation in order to understand the customers and provide them
with better experiences at the resorts and theme park.
Conclusion
It can be concluded from this report that information system and big data
analytics plays a significant role in the various industries across globe. The
report has highlighted the concept big data analytics along with its
characteristics. The characteristic can be named as five “V” which
indicated Volume, Velocity, Veracity, Variety, Value of big data. Further in
the report, challenges has been explained along with their specific
solutions. Also various ways have been explained in which the big data
supports the businesses