Information Analysis Systems and Big Data - BSc Business Management

BSc (Hons) Business Management
BMP4005
Information Systems and Big Data
Analysis
Poster and Accompanying Paper
Submitted by:
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Contents
Introduction p
What big data is and the characteristics of big data p
The challenges of big data analytics p
The techniques that are currently available to analyse big data
p
How Big Data technology could support business, an explanation
with examples p
Poster p
References p
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Introduction
Big data analysis is the complex process of examination of the big data for
uncovering the information which is hidden and present in the form of uncover
information. The purpose of this analysis is to find the hidden patterns, correlations,
market trends and customers preferences which informs the business decisions.
What big data is and the characteristics of big data
Big data is the collection of the data in a huge volume and is considered to be the
key factor in the growth and exponential form of time. This is the data which is
considered to be able to present in the form of non-traditional manner. It is not able
to process the efficiency of the business is considered to be the factor which
influences. This is the data which is of a huge size and is considered to be the
statistical tool for achieving the best results in the organization (Ghani and et.al.,
2019). This is the tool which is considered to contain data from social media
platforms such as Facebook, twitter, LinkedIn and other media platforms. The
structure of this data is also the form in which it can be divided. There is big data
which can be structure as well as unstructured depending on the kind of information
which is stored an accessible and processed for being formed and fixed. Following
are the characteristics of the Big Data which influences the following,
 Volume : The volume of the big data is considered to be related to the size of
the organization which can be enormous. The role-played for the
determination of the value out of the data is considered to be particular and
can be considered to be very much dependent on the consideration of the
volume of the data which is essential for the information.
 Variety : The data can be of heterogeneous sources and can have affects on
both the nature of the structure and quality. It can be present in spreadsheets
and data solutions which can impact the growth of the organization. The data
can also be of images, emails, photos and video that impact the monitoring of
the information which is relevant to the different solutions provided.
 Velocity : The velocity of the data impacts the speed of the generation of data
for being processed towards meeting the demands of the real potentials. It is
helpful for meeting the demands of the data which has some connection. It
helps the business in referring to the speed of the generation of data and
impacts the flow of data in the management process.
 Variability : Depending on the type of data it is very variable and can be
inconsistent toward the management of process which is not able to handle
the management of data effectively.
The challenges of big data analytics
The challenges in the big data analytic are,
Lack of knowledge professionals : It has been known that the for running the modern
technologies it is very important for the organization to include the data scientists, data
analysts. Data engineers for the tools to make sense for the giant data sets to make the
company face the lack of massive data professionals.
Lack of proper understanding of big data : The companies can be considered to fail
when the big data is stored in the processing, information and sourcing the data of the
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