MIS Report: Analyzing Cloud Computing, Big Data at Tesco (University)

This report provides an analysis of Tesco's Management Information System, focusing on the impact of cloud computing, mobile platforms, and big data. It begins with an introduction to the role of information systems in providing competitive advantages. The report then delves into Tesco's background, highlighting its expertise in data management and its use of big data to enhance customer loyalty and improve business decisions. It evaluates the challenges and benefits of cloud computing and big data, including agility, affordability, and scalability, while also addressing security concerns. The report explores how big data serves as a source of business intelligence, improving decision-making and knowledge management within Tesco. It explains the opportunities and challenges presented by cloud computing and big data, and it analyzes the methods and procedures used by Tesco for data collection and storage. The conclusion summarizes the key findings, emphasizing the importance of database systems and their influence on managerial decisions, and finally lists the references used in the report.

Running head: MANAGEMENT INFORMATION SYSTEM
Management Information System
(Tesco)
Name of the student:
Name of the university:
Author Note

MANAGEMENT INFORMATION SYSTEM 1
Executive summary
The Tesco has been a retail company located at UK, delivering innovative and consistent outcomes.
The following report would help to understand the impact of business on cloud computing, mobile
platform and big data at TESCO.

MANAGEMENT INFORMATION SYSTEM 2
Table of Contents
1. Introduction:......................................................................................................................................3
2. Background information:...................................................................................................................3
3. Evaluating the challenges and benefits of cloud computing and Big Data:......................................4
4. Analyzing how Big Data is used as a source for business intelligence:............................................4
5. Evaluating how big data improves decision making and knowledge management:.........................5
6. Explanation of the opportunities and challenges brought about by cloud computing and Big Data:5
7. Analyzing methods and procedures for data collection and storage:................................................6
8. Conclusion:........................................................................................................................................6
9. References:........................................................................................................................................7

MANAGEMENT INFORMATION SYSTEM 3
1. Introduction:
The information system has been playing a crucial role by delivering the latest business
model. This has been regarding the competitive advantages with better decisions makings (Hashem
et al. 2015).
The Tesco is a retail company at UK delivering innovative and consistent outcomes. The
report evaluates the impact of business on cloud computing, mobile platform and big data at
TESCO.
2. Background information:
The Tesco has been expert in enhancing, protecting and accessing the value of their data. The
data sources they have been managing included the internal data, the web, mobile devices, social
media and the rising list of the technologies of the automated sensory (O’Driscoll, Daugelaite and
Sleator 2013). Their experts has been assessing the needs of data management and deploying people
and the process for effectively initiate the governance, quality and the data migration programs.
The Tesco has been specializing in the big data business. Their methodology started with the
understanding of business aims. They paired the vision of the clients with their end-to-end abilities
and the best practices. They have been delivering expertise from the architecture and foundation to
the predictive visualizations and insights. They have been helping the customers with the
opportunities and building their environments of big data (Fernández et al. 2014). This has been to
tap the latest revenue streams, enhancing the customer loyalty and making better decisions of
business.

MANAGEMENT INFORMATION SYSTEM 4
3. Evaluating the challenges and benefits of cloud computing and Big Data:
There have been various benefits of cloud computing and big data at Tesco. First of all is the
agility. The conventional infrastructure to store and manage the data has been difficult. The cloud
database has been enabling Tesco to have numerous virtual servers and make them working
seamlessly in a few times. Next one is the affordability. Tesco hosting their big data on the off-site
servers and paying only for the power and storage spaces they have been using. With the big data
platforms the data could be processes (Assunção et al. 2015). The cloud computing has been making
the process accessible and easier. Tesco with the cloud could scale up or down their desired level to
process storage spaces and power quickly and simply. Moreover, there has been no necessity for
extra infrastructure as cloud provides most resolutions in the SaaS models.
However there have been various challenges also. The big data has also been providing
challenges to manage the data under the conventional framework. Analyzing the huge volume of
data has been very hard. There has been also problems regarding the moving huge data sets and
deliver the details required to access them in this high speed connectivity age. These data sets have
been carrying confidential data rising concerns about data security (Baek et al. 2015). The attackers
have been restless and they have been inventing newer ways for finding the entry points in any
system. Other problems are the Ransomware, attacks of Denial of Service, Phishing attacks and the
Cloud Abuse.
4. Analyzing how Big Data is used as a source for business intelligence:
The big data has been rising fast as Tesco has been devoting the technology resources to tap
the terabytes of the data flowing into their company. This also includes the social media data and the
other sources externally. The advanced integrated analytics for the big data with the BI systems has
been a crucial step in achieving the complete return on the investment (Demirkan and Delen 2013).

MANAGEMENT INFORMATION SYSTEM 5
The BI and the advanced analytics have been largely complementary. The advanced analytics could
deliver the exploratory and the deeper view on the data. The BI on the other hand has been
delivering the more effective user experience structurally.
5. Evaluating how big data improves decision making and knowledge
management:
For Tesco the approach that has been working is that they have been working effectively in
using the techniques of big data for retrieving, processing and storing the data with the established
solutions of business intelligence (Bahrami and Singhal 2015). This approach has been assimilating
the widened ability in big data with usability and familiarity of the products of business intelligence.
The analytics of big-data has been delivering the real-time insights. This required to be done
fast for gaining the better value. Tesco has been employing swift processes to make decisions. Thus
they have been able to realize the value better from the big data analytics and create the strong
competitive benefits.
6. Explanation of the opportunities and challenges brought about by cloud
computing and Big Data:
The big data has been the umbrella word encompassing every kind of data that has been
present today. The cloud computing has been delivering the best technology in the best packages that
are cost-effective. It has not only been reducing the costs by also making broad array of applications
that are available for Tesco. Together they have been delivering the solution both scalable and the
accommodation for the business analytics and big data. The analytical advantage has been going to
be a highly helpful. Every information resources have been becoming easily accessible.

MANAGEMENT INFORMATION SYSTEM 6
7. Analyzing methods and procedures for data collection and storage:
Tesco’s competitive operational platform of analytics has been designed for meeting the big
data needs. They have taken into account, their processes of business, landscape of technology and
particular challenges of data across velocity, variety and volume. The big data platform has been
using the “Commercial off-the-shelf” or COTS or the open source tools that has been best suited to
the solution (Inukollu, Arsi and Ravuri 2014).
The good strategy of business has been giving Tesco the long-term planning for action and
has been creating the competitive advantage. Their expertise in the analytics and big data strategy
has been helping the business leveraging the core competencies for driving the sustainable
profitability and growth.
8. Conclusion:
The report would help to understand why and how the database systems have been used,
maintained, tested, implemented, designed and specified. It helped in analyzing the perquisites of
Tesco to store information and data gathering with the managerial decisions have been influenced.
Lastly, the report helps in evaluating the concepts of the database management and technical
responsibilities of Tesco’s database administrator.

MANAGEMENT INFORMATION SYSTEM 7
9. References:
Assunção, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A. and Buyya, R., 2015. Big Data
computing and clouds: Trends and future directions. Journal of Parallel and Distributed
Computing, 79, pp.3-15.
Baek, J., Vu, Q.H., Liu, J.K., Huang, X. and Xiang, Y., 2015. A secure cloud computing based
framework for big data information management of smart grid. IEEE transactions on cloud
computing, 3(2), pp.233-244.
Demirkan, H. and Delen, D., 2013. Leveraging the capabilities of service-oriented decision support
systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), pp.412-421.
Fernández, A., del Río, S., López, V., Bawakid, A., del Jesus, M.J., Benítez, J.M. and Herrera, F.,
2014. Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and
programming frameworks. Wiley Interdisciplinary Reviews: Data Mining and Knowledge
Discovery, 4(5), pp.380-409.
Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A. and Khan, S.U., 2015. The rise of
“big data” on cloud computing: Review and open research issues. Information Systems, 47, pp.98-
115.
O’Driscoll, A., Daugelaite, J. and Sleator, R.D., 2013. ‘Big data’, Hadoop and cloud computing in
genomics. Journal of biomedical informatics, 46(5), pp.774-781.
Bahrami, M. and Singhal, M., 2015. The role of cloud computing architecture in big data.
In Information granularity, big data, and computational intelligence(pp. 275-295). Springer
International Publishing.

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Inukollu, V.N., Arsi, S. and Ravuri, S.R., 2014. Security issues associated with big data in cloud
computing. International Journal of Network Security & Its Applications, 6(3), p.45.