Analyzing Big Data: Dimensions, Challenges, and Business Support

This report provides an overview of big data, its characteristics, and the challenges associated with its analytics. It discusses the volume, variety, and velocity of data as key dimensions. The report identifies challenges such as data integration, complexity, and security, and explores techniques like data mining, machine learning, and statistical approaches to address these issues. Furthermore, it highlights how big data technology supports businesses through improved data management, enhanced data privacy, increased customer engagement, and business development. The report concludes that leveraging big data management is crucial for business expansion and long-term development, emphasizing the importance of IT management in various dimensions of business growth.

Big Data and its
dimensions

Table of Contents
INTRODUCTION ..........................................................................................................................3
A brief overview of big data.......................................................................................................4
Characteristics of big data...........................................................................................................4
The challenges of big data analytics and techniques available to analyse big data....................5
Big data technology could support business by using examples................................................6
CONCLUSION ...............................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
In the modern IT world, big data management techniques helps a business to develop
effective measures in order to develop data management (Chen, Ramanathan, and Alazab, 2021).
This is crucial role of a business entity to take into consideration application of big data
management for welfare of the whole company. The big data management is also termed as a
key approach which is beneficial in development of company's strength. All major companies at
the marketplace should focus on management of big data for systematic arrangement of data.
This project includes analysis and explanation of different consequences and issues which are
essential in briefly analysing big data . The report includes big data management and different
practices that can support a business functioning and the way in which it can help in
development of a business.

MAIN BODY
A brief overview of big data
In the recent times it is important for a business to focus on analysing big data with
different techniques. The big data is a practice of management of data through software and
cloud based services in order to lead the marketplace. Big data technology is increased with the
enhancement in globalisation. The evolution of big data based practices in recent times have
directed different traditional business organisations to shift to digital business. In the corporate
world also big data techniques are emerging in an effective manner. All major companies in the
international and national marketplace focus on developing IT practices in a professional manner
(Chen, Lin, and Wu, 2020). The different sets of example related to big data technology includes
Hadoop, Spark, NO-SQL, Hive and cloud. Practices based on big data involve effective
measures which enable a company to develop data protection of different customers. Data
synchronisation and management helps a company to deliver effective practices related to big
data. The data storage and data mining also facilitate a company to develop major practices
related to big data management.
Characteristics of big data
In the management of big data practices, there are different characteristics which put a
major impact on development of crucial aspects. It is important and compulsory for an individual
to analyse different characteristics related to big data for focused development. The different
characteristics of big data management are mentioned below:
 Volume of data- The volume of data is described as the amount of data involved in
storing a crucial information. In big data management, the volume of data is considered
as a major parameter which includes high level of data storage (Ferraris, Mazzoleni, and
Couturier, 2019). It is also one of the crucial role of a business to develop major big data
management for storing the data.
 Variety of data- In the data management, variety of data includes application of data in
different ways. The variety of data includes segmented data into different parts which
enables a company to divide data. The data is divided into different parts which includes
different dimensions of data development in recent times.
 Velocity of data- The velocity of data includes, transferring speed of data which is
important to be traced by the company. It is crucial role of a business entity to focus on

data transfer techniques in order to lead the marketplace. The advanced tools which are
used as a software to manage big data are HPCC and HADOP. The management of
velocity of data is considered as a key approach used by a business to focus on customer
management.
The challenges of big data analytics and techniques available to analyse big data
In the functioning of a business, big data management play a crucial role in development
of data based practices. The development of big data technology also helps a business to perform
effective operations related to customer information management (Gupta, Kar, Baabdullah, and
Al-Khowaiter, 2018). There are various issues and challenges faced by big data technology
which creates major obstacle for it. In order to handle different consequences and challenges
related to big data analytics it is essential for a business to focus on long term development goals.
The major challenges related to big data management are mentioned below:
 Data integration-The management of data is an essential for a company along with the
integration. Arrangement and integration of big data is a crucial challenge. This is the
major responsibility of research and development department to focus on integration of
data for long term development of a company.
 Complexity of data- The rigidity of data is essential to be solved by a researcher as it is
one of the most crucial step taken for development (Trelewicz, 2017). In order to solve
the data and make it flexible, it is important for the company to take help of
professionally trained IT experts.
 Security of data- The security of data is considered as major practice which involves
safety of data in order to provide best customer experience (Hopkins, and Hawking,
2018). This also helps a company to manage data over cloud with three step security
verification. All major companies in the global and domestic marketplace focus on
protecting the data using major software and approaches.
The techniques available to analyse big data are mentioned below:

 Mining of data- It is essential for a business to focus on data mining in order to analyse
its crucial aspects along with information. The data mining also includes large data
setting patterns from more amount of data and combining them.
 Machine learning- The machine learning includes application of artificial intelligence in
order to develop at the marketplace (Mandal, 2018). These operations include human
based intelligence approach which helps in development of machine based learning and
data management.
 Statistics based approach- In the recent times, it is important role of a business entity to
use statistical methods to approach precise data management. The data interpreted in
graphs and statistical way, helps a business to easily analyse and understand data
development.
Big data technology could support business by using examples
The big data technology is an important approach which is beneficial for a company to
measure different types of data techniques in order to develop and expand. The big data
technology and its application is essential to maintain competitive advantage (Sharma, Borah,
and Namasudra, 2021). Operations related to big data should be developed with effectiveness in
order to help a business entity. The main factors which states that big data technology play a
crucial role in supporting an organisation are mentioned below:
 Management of data- In the management of data related to different customers and
business related parameters, big data technology play a significant role. All data related
to customer's name, profile and needs should be considered by a business to manage the
data. IT based practices which are essential in development of data management also
helps a company to deliver best business practices.
 Privacy of data- The big data management helps in handling privacy of data which is
essential for business development (Sheeran, and Steele, 2017). In the recent times, it is
important role of a business to maintain crucial privacy of different customers in order to
survive at the marketplace. The privacy of data and its maintenance helps a business to
overcome different issues and consequences of data theft.
 Customer engagement-With the help of big data management, a company can easily
develop and facilitate customer participation. In the recent times, customer engagement is
considered as a key approach in development of buying behaviour (Wright, Robin, and

Aravopoulou, 2019). The development of customer engagement is helpful in increasing
the revenue and profitability of a company in a short period of time.
 Business development and growth- The growth and expansion of a business is
facilitated by the help of big data management technology (Sledgianowski, Gomaa, and
Tan, 2017). The business organisation also achieves several benefits and major
advantages with help and support of big data technology.

CONCLUSION
From the above stated report it can be concluded that it is crucial for a business to take
into consideration various techniques related to big data management to expand business. This
project concludes importance of IT management in order to focus on various dimensions of
development. The report concludes that it is key role of management of a business to develop
various factors related to Information and technology. This discussion also concludes that it is
important for a business to focus on big data management for long term development of a
business firm.

REFERENCES
Books and Journals
Chen, J., Ramanathan, L. and Alazab, M., 2021. Holistic big data integrated artificial intelligent
modeling to improve privacy and security in data management of smart cities. Microprocessors
and Microsystems, 81, p.103722.
Chen, P.T., Lin, C.L. and Wu, W.N., 2020. Big data management in healthcare: Adoption
challenges and implications. International Journal of Information Management, 53, p.102078.
Ferraris, A., Mazzoleni, A., and Couturier, J., 2019. Big data analytics capabilities and
knowledge management: impact on firm performance. Management Decision.
Gupta, S., Kar, A.K., Baabdullah, A. and Al-Khowaiter, W.A., 2018. Big data with cognitive
computing: A review for the future. International Journal of Information Management, 42, pp.78-
89.
Hopkins, J. and Hawking, P., 2018. Big Data Analytics and IoT in logistics: a case study. The
International Journal of Logistics Management.
Mandal, S., 2018. An examination of the importance of big data analytics in supply chain agility
development: A dynamic capability perspective. Management Research Review.
Sharma, P., Borah, M.D. and Namasudra, S., 2021. Improving security of medical big data by
using Blockchain technology. Computers & Electrical Engineering, 96, p.107529.
Sheeran, M. and Steele, R., 2017, October. A framework for big data technology in health and
healthcare. In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile
Communication Conference (UEMCON) (pp. 401-407). IEEE.
Sledgianowski, D., Gomaa, M. and Tan, C., 2017. Toward integration of Big Data, technology
and information systems competencies into the accounting curriculum. Journal of Accounting
Education, 38, pp.81-93.
Trelewicz, J.Q., 2017. Big data and big money: The role of data in the financial sector. It
Professional, 19(3), pp.8-10.
Wright, L.T., Robin, R., and Aravopoulou, D.E., 2019. Adoption of big data technology for
innovation in B2B marketing. Journal of Business-to-Business Marketing, 26(3-4), pp.281-293.