Big Data: Characteristics, Challenges, and Supporting Business Growth

This report provides a comprehensive overview of big data, defining it as a field that analyzes large and complex datasets to extract valuable information and support business growth. It discusses the key characteristics of big data, including volume, variety, and velocity, and highlights how these characteristics enable organizations to manage and store data more effectively. The report also addresses the challenges associated with big data analytics, such as data integration, complexity, and security, and explores techniques like data mining, machine learning, and statistics used to overcome these challenges. Furthermore, it illustrates how big data technology supports businesses through data management, privacy, customer engagement, and overall business development, providing examples of companies like Necol garages, Astra Zeneca, Tesco, and Amazon leveraging big data for their success. The report concludes by emphasizing the importance of big data in modern business and the need for organizations to adopt appropriate technologies and methods to harness its potential.

BIG DATA

INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
A brief overview of big data........................................................................................................3
Characteristics of big data...........................................................................................................4
Big data technology could support business by using examples.................................................6
CONCLUSION................................................................................................................................8
Screen shot...................................................................................................................................9
REFERENCES..............................................................................................................................14

INTRODUCTION
Big data means the field that makes threats to be analysed in systematic manner helping
in extracting information dealing over various data sets that is to large or complex making
traditional data processing regarding application software. As per this data with many fields
helps upon forming statistical structure upon traditional data making better results to be
achieved. Further, Big data has important role to be played within an organization by reducing
complexity in storing data. Through big data all kinds of elements in relation over data storing
gets achieved. The concept helps in making business grow with better approach as per market
situation. Scope of big data holds wider perspective in relation upon making business
organization deal upon issues of data storage. The poster is based upon discussion about concept
of big data with its various characteristics. Also techniques in relation over big data analysis has
been discussed in more effective manner. In the end example has been taken over big data
analysis.
MAIN BODY
A brief overview of big data
In modern world big data technology has emerged as one of the most important parts
existing within an organization. This helps in creating drastic impact over an organization using
IT as its main component. There are various kinds of examples used within Big Data technology
for example adoop, Spark, NO-SQL, Hive and Cloud. Also through the technology IT industry is
able to develop more effectively which makes data to be used with more effectiveness. The
technological software formed through Big data analysis makes management and storing of
business data done in more secured manner. The big data technology includes assessment over
different factors making data managed and store over making essential growth of business done
with positive approach. Also big data has helped in creating balance within an organization by
making business develop strong strategies in relation over data management. The main aim of
Big data is to make IT department work with more effectiveness helping in supporting for all
growth of an organization. Big Data leads over making IT department achieve its goals and
objectives in no time. Also it has been mainly working upon analysing and storing data in precise
manner leading over supporting data operations. Big data technology is also helpful in increasing

the level of safe operations which are essential for a business to develop big data related
operations. The big data technology is considered as major step which is essential for protecting
crucial data related to customers. In the success of a company at the marketplace big data
technology play a crucial role by giving priority to large data management in a precise manner. It
has made IT department of an organization work over various perspectives leading upon
increasing business performing capacity. This data leads upon guiding an organization about
competitors existing in an organization. Through big data IT sector leads over developing
various aspect which makes business grow with positive impact. IT sector makes business form
strong structure effectively.
Characteristics of big data
This is essential over an organization helping in making various factors to be used which
is related over making data technology which leads towards making marketplace more wider in
nature. Big data has various characteristics helping over developing better structure making goals
and objectives achieved with proper motive. It makes big data used in more effective for making
marketplace. The major characteristics over dig data technology that has been explained as
follows:
 Volume of data- In general scenario it has been making an organization over developing
precise approach over large amount of data. Through Big data volume large and number
of consumer having multinational and national companies. It helps over making precise
approach in handling large amount of data. Big data volume over large and number over
consumers making both multinational and nation organization. In order handling large
volume of data essential for an organization holding major responsibility with trained and
skilled employees. The name Big Data over related over making enormous size making
Big data generate over various sources upon daily basis. In this business process,
machines, social media platforms, network, human interaction and various other things
 Variety of data- There are variety of data which has immensely make case big data
technology essential upon including categories over data. In order to make variety data
transferred in precise manner of an organization. Through transferring data of an
organization various kinds of financial management leads over preparing business
strategy. Through making data transfer more effective in nature helping upon making
data strategy prepared over preparing proper data structure. Big data makes variety of

data collected in more effective manner making business conducted more effectively. In
Big data structured, unstructured and semi-structured that are being collected over
different elements. Data makes collection with databases and sheets within past and data
is collected with the helps PDFs, Emails, audios, SM posts, photos, videos, etc.
 Velocity of data- This is considered over speeding up data which makes transfer
possible from one source to another. In the recent times velocity of data is managed by
advanced software like HADOP HPCC in the business. It is very much essential for a
company to manage velocity of data consistently for long term success of business. Then
velocity has important role to play over comparing over various others perspective.
Velocity creates through speed which makes data to be created in real time. It contains
linking of incoming data sets speeds, rate of change and activities. The primary aspect of
Big Data over providing data rapidly.
These characteristics acts as positive aspect for Big data which makes business
organization collect and store its data in more secured manner. Further, these characteristics has
helped in making data usage done in more effective way. Also big data has made an organization
cover about important perspective making business deal over various aspects in relation to data
development. Big data enhanced itself making organizations goals achieved with perfection and
aspiration of business organization.
The challenges of big data analytics and techniques available to analyse big data
Big data technology has its applications within business that is irreplaceable in nature and
various organizations uses big data technology. This is an important aspects of business required
fro focusing over long term customers satisfaction. In modern world challenges based upon big
data has been increasing on daily basis due to change in customer percentage. Also issue over
customers data has increased causing lot of problems for an organization to establish within
market. In order to manage these challenges in relation to big data analytics deep analysis
requires to be created by IT experts of an organization. The main challenges in big data analytics
are mentioned below:
 Data integration- As per this management of big data technology integrated over
covering major challenges in relation to Big data. The data integration has important role

to play within data management through large number of sources. In this an researcher
requires over collecting data from various source and it becomes major responsibility of
researcher to facilitate data integration.
 Data complexity- In order to deal over complexity of data it is required for researcher to
overcome various issues and practices. The data holds complexity and rigidity over
various cases making research handled in more effective way. Data complexity is one of
the major challenge in relation to ethical issue of business handling complexity.
 Data security- The main issue and challenge in data handling and maintenance is data
security. It is major role and responsibility of management to handle data security with
major patience in order to manage security of data. In the world of technology there are
many attacks like malware and spyware can impact whole data. It is important for
researcher to analyse and develop big data while keeping mind various security issues.
The techniques available to analyse big data are mentioned below:
 Data mining- The data mining is an common kind of tool which has been used by an
organization for handling big data analytics. In data mining extracts patterns over large
data makes methods from statistics helped in learning management of database.
 Machine learning- This kind of learning is based over artificial intelligence, machine
learning which is based over various dimensions of computer science and algorithms.
The machine learning provides over different analysis related to various perspectives.
 Statistics- The technology has been processing, managing and analysing data over
entirely different and expensive over field which evolves and develop time. In this
techniques and technologies makes size of data to be more valuable. Managing accurately
helping in hosting business and its various products with market insights.
Big data technology could support business by using examples
In current competitive environment big data technology has helped in making business
grow with faster and better pace. This helps in facilitating organization over customers data more
effectively. Many business organizations helps over developing competitiveness through helping
over big data technology. The big data technology has helped in supporting business upon
various factors which are given as follows:

 Management of data- Big data technology has helped in managing data which is useful
within business in more effective manner. As per big data technology advance software
has been used with systems making ease developed within business over managing large
amount of data. The data managed through big data technology makes availability for
business done over long time helping in handling customer. For example, Necol garages
is an multinational UK based organization which makes precise management of large
data done in different parts of glob over data technology.
 Privacy of data- The privacy of data holds importance upon both organization and
customer. In this application has been used for big data technology which plays major
role within business development by maintaining privacy of large amount of data. For
example, Astra Zeneca which is a British multinational pharmaceutical company
maintains privacy of data with the help of big data technology.
 Customer engagement- The customer engagement has been facilitated through data
technology that made data synchronization possible. This is major responsibility of IT
department of business organization managing data according to number of customers.
For example Tesco is an British retailer organization making customers satisfaction over
big data technology created.
 Business development and growth- Through this an organization is able to achieve
business goals and objectives helping in making main target of business organization
achieved within set time period. Example, Amazon which is biggest e-commerce market
player makes various targets accomplished with data technology within international
market.

CONCLUSION
From the above discussion it can be marked out that big data means those practices which
has been used for making data stored in more effective manner. Through big data technology
researcher of an organization makes management done in relation over using appropriate
technology and methods. The projects based upon essential aspects of research in order to
overcome different challenges associated with big data technology dealing with complexity of
data. Also it covers about big data technology and its various applications of business in faster
and better manner.

Screen shot

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