Running Head: BIG DATA ANALYTICS
BIG DATA ANALYTICS IN INFORMATION TECHNOLOGY (IT) SERVICE
DELIVERY
PRATHYUSHA PARISI
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BIG DATA ANALYTICS
I.
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Abstract
The application of big data analytics has had a significant influence on the delivery of
information technology assistance. Big data analytics is being used by businesses in order to
investigate and make sense of the vast volumes of data that are being generated. Businesses have
been able to improve the experiences of their consumers, streamline their processes, and make
decisions based on empirical evidence as a direct result of these developments.
II.Intro

A ) Thesis : In the process of delivering IT services, tasks such as the monitoring and
maintenance of IT systems, the provision of technical assistance to end users, and the
assurance that data and systems will remain secure are all included.

B ) Process followed : The process of identifying and resolving issues in the field of
information technology services is being sped up thanks to the application of big data
analytics. Major problems can be prevented if companies spend the required amount of
time and effort doing in-depth evaluations of system performance, user behavior, and a
range of other indications, in addition to implementing preventative actions.
III.

Benefits of Big Data Analytics in IT Service Delivery
A) Uses of Big data:
The use of big data analytics can result in large gains in efficiency, which is one of the
most important advantages brought about by these advances. By doing an analysis on a large
quantity of data, companies are able to identify areas in which their operations are inefficient
and then make the required adjustments to improve those areas (Han Ping Fung, 2013).
B ) Future of Big data :
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Analytics carried out on massive amounts of data have the potential to provide
businesses with a deeper understanding of their customer base. Data collected from
consumers can be analyzed to uncover trends, preferences, and repeated patterns of
activity. The use of big data analytics is yet another advantage that comes along with
predictive analytics (Han Ping Fung, 2013).
IV. Applications of Big Data Analytics in IT Service Delivery
A ) Applications
When it comes to the delivery of information technology services, one of the most
essential applications of big data analytics is predictive maintenance. The huge amounts of
data that are produced by information technology (IT) equipment are analyzed by the
algorithms that are used in predictive maintenance, which enables these algorithms to
accurately predict when a piece of equipment is going to break and take preventative action.
B ) Performance Monitoring :
Monitoring performance is yet another domain in which big data analytics might be of
assistance. By doing a study of the performance data offered by IT systems, it is possible to find
parts of the system that are not functioning as expected (Fung, 2014).The provision of
information technology services typically involves the management of a very large number of
resources, including servers, storage devices, and networks, amongst other things. By analyzing
data concerning resource utilization, IT professionals are able to find places in which resources
are being underutilized and may then take steps to optimize how those resources are being used.
They are able to locate these areas and take action. This not only helps decrease costs, but it also
ensures that the resources that are available in the form of information technology are used in a
manner that is both efficient and effective.
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The final application for big data analytics is to improve the experience of customers
when they are receiving information technology (IT) services. This helps to ensure that
services related to information technology are provided in a manner that is user-friendly,
easy, and convenient, as well as that they fulfill the requirements of the target audience
(Kelechi et al, 2020).
V. Challenges and Solutions for Implementing Big Data Analytics in IT Service Delivery
A. Challenges
When it comes to utilizing big data analytics in the provision of information technology
services, one of the most challenging challenges that must be surmounted is data integration.
B. Solutions
In order to make use of big data analytics in information technology services, it is
required to fix the quality of the data. There is a possibility that the data are of poor quality,
which could lead to erroneous conclusions and actions that could be harmful to the business.
(Kelechi et al, 2020).
VI Case Studies of Big Data Analytics in IT Service Delivery
A. Case Study 1 Summary

Data has surpassed oil as the most valuable commodity in today's global economy,
replacing it as the former top commodity. Because of the enormous amounts of data that
are generated every day, businesses are always looking for innovative ways to collect
insights that will assist them in becoming better at making decisions (Chai et al, 2021).
B. Case Study 2 Summary

In general, analytics applied to vast amounts of data can be used to increase the efficiency
of IT infrastructure in a variety of different ways. By conducting a study of data relating
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to patterns of consumption, companies are able to find areas of their infrastructure in
which they can improve performance while simultaneously reducing costs (Simonova,
2022).
VII Findings
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The field of big data analytics is rapidly growing, and there is reason to believe that it has
the potential to totally transform the way that information technology services are
provided.

Predictive maintenance is an interesting application of big data analytics that can be
found in the realm of providing services related to information technology (Simonova,
2022).

As IT service providers strive to stay one step ahead of more sophisticated cyber threats,
big data analytics is becoming an increasingly crucial tool in their toolkit.

The implementation of Big Data Analytics has the ability to increase the operational
efficiency of IT service delivery, which is the last point to mention but certainly not the
least (Simonova, 2022).
VIII Summary
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By analyzing customer data, companies can gain a better understanding of their clients'
routines, preferences, and requirements. Because of this, they are able to provide
personalised treatment, which, in turn, increases the number of returning customers and
their loyalty.
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The analysis of large amounts of data can only be successful with accurate information.
A chilling impact on corporate decision-making can be caused by inaccurate results
resulting from poor data quality (Simonova, 2022).
BIG DATA ANALYTICS
IX Future work

In today's fast evolving IT landscape, the application of Big Data Analytics is
increasingly becoming an essential component of the process that is used to provide IT
services.

With the assistance of Big Data Analytics, it is possible to do real-time monitoring of
networks, servers, and applications (Simonova, 2022).

The supply of information technology services connected to artificial intelligence may
also benefit significantly from the utilization of big data analytics.
X. Conclusion
To summarize, the application of Big Data Analytics has the potential to disrupt the
market for the providing of information technology services in a number of distinct ways. The
uses of this technology are expanding rapidly, and companies are finding new and innovative
ways to use it. Some examples of these applications include predictive maintenance and
consumer insights, as well as cybersecurity and operational efficiency.
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References
Chai, W., Labbe, M., & Stedman, C. (2021). big data analytics. Business Analytics; TechTarget.
https://www.techtarget.com/searchbusinessanalytics/definition/big-data-analytics
Fung, H. P. (2014, December 17). Using Big Data Analytics in Information Technology (IT)
Service Delivery. Ssrn.com. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2539683
Han Ping Fung. (2013, May 2). Using Big Data Analytics in Information Technology (IT)
Service Delivery. ResearchGate; unknown.
https://www.researchgate.net/publication/236863297_Using_Big_Data_Analytics_in_Info
rmation_Technology_IT_Service_Delivery
Kelechi, D., Cosmas Nwakanma, I., Udunwa, I., & Ajere, I. (2020). LEVERAGING ON BIG
DATA ANALYTICS FOR SERVICE DELIVERY A PERCEPTION EVALUATION
APPROACH. 3(1), 19. https://abjournals.org/bjcnit/wpcontent/uploads/sites/11/journal/published_paper/volume-3/issue1/BJCNIT_UPGIJM1V.pdf
Simonova, M. (2022). Digital Transformation: Exploring big data Governance in Public
Administration. https://doi.org/10.1007/s11115-022-00694-x