Information Systems and Big Data Analysis

INFORMATION SYSTEM
AND
BIG DATA ANALYSIS
Table of Contents
INTRODUCTION...........................................................................................................................2
MAIN BODY...................................................................................................................................2
Big data and its features-.............................................................................................................2
Big Data Challenges - ................................................................................................................3
Techniques presently available for analysing the big data -.......................................................4
How the big data technology can assist business, explanation with examples-..........................5
POSTER ..........................................................................................................................................6
REFERENCES.................................................................................................................................7

INTRODUCTION
Big data is a combination of group of sets involves managing data sets so large and it is
often a complex process of examining large amount of data to uncover hidden patterns,
correlations and others. Big data analysis involves visualization, integration, cleansing and
management . It helps businesses and organisation make better decision by revealing information
that would have otherwise been hidden(Baig, Shuib and Yadegaridehkordi, 2019) . It includes
capturing data, data storage, sharing, transfer, information privacy and data source. Big data
refers to the large , diverse sets of information that grow at ever- increasing rates . They grow
very rapidly with the increasing pace of time. It is all about having high value, actionable
insights from the data assets. This report states that it is a collection of data and ability to use it
our advantage across a wide range of areas, including business.
MAIN BODY
Big data and its features-
Big data can be defined as data sets whose size or type is beyond the ability of
traditional relational databases to collect , manage the data. It is the process of collecting useful
information by analysing different types of data sets. It may look simple, but this a complex
process(Dindic and Johansson, 2022) . Big data helps in organising, transforming the data on the
basis of organisation requirements. Big data analytics helps organisation in decision-making
process. Companies use the big data system to improve operations , provide best customer
services. It allows company to identify trends, patterns
Features-
 Volume - Volume refers to the size of the big data. The data can be considered big or not
can be considered on the basis of volume. Organisations collects data from different
sources . The range of data can be measured by this characteristics of big data.
Previously, storing and analysing the data was a big challenge.
 Variety – It refers to all the structured and unstructured data that has the possibility that
ha the probability of getting generated through machines or by human beings. The

diversity of different data types according to their nature. It refers to the fundamental
change in analytical requirements from traditional approach. It entails the types of data
that vary in format and how it is organised and ready for processing.
 Velocity- It refers to how quickly data is generated and how quickly that data moves.
The rate at which data is generated or the speed of the data. This refers to the speed at
which the data is getting accumulated(Ghani and et. al., 2019) . It determines the
potential of the data that how fast it is working.
 Veracity - It describes the data's accuracy and quality and trustworthiness. It refers to the
incomplete data or the presence of errors, missing values. The truth or accuracy of data
and information assets, which often presents executive-level confidence.
 Variability – It plays an important role in big data analysis . It describes the number of
inconsistencies in the data or inconsistent speed at which the big data is loaded.
Variability mainly focuses on understanding and interpreting the correct meanings raw
data. It is difficult to manage a large amount of unstructured information.
Big Data Challenges -
There are many challenges that occurs while doing big data analytics that are discussed
below-
 Securing Data - Security is one of the most complicated Big Data challenge specifically
for organisations that have important and personal data or have a lot of sensitive
information(Lagsten and Andersson, 2018) . When it comes to the protection of the
company data most of the organisations thought that they have a right security policies
for the safety of confidential data . Often companies are so busy in understanding,
analysing their data sets that they forward data security for later . Companies are
recruiting the professionals for the security of data .