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.
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). 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.
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.
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.
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.
Essay Writing Service Features
Our Experience
No matter how complex your assignment is, we can find the right professional for your specific task. Contact Essay is an essay writing company that hires only the smartest minds to help you with your projects. Our expertise allows us to provide students with high-quality academic writing, editing & proofreading services.
Free Features
Free revision policy
$10Free bibliography & reference
$8Free title page
$8Free formatting
$8How Our Essay Writing Service Works
First, you will need to complete an order form. It's not difficult but, in case there is anything you find not to be clear, you may always call us so that we can guide you through it. On the order form, you will need to include some basic information concerning your order: subject, topic, number of pages, etc. We also encourage our clients to upload any relevant information or sources that will help.
Complete the order form
Once we have all the information and instructions that we need, we select the most suitable writer for your assignment. While everything seems to be clear, the writer, who has complete knowledge of the subject, may need clarification from you. It is at that point that you would receive a call or email from us.
Writer’s assignment
As soon as the writer has finished, it will be delivered both to the website and to your email address so that you will not miss it. If your deadline is close at hand, we will place a call to you to make sure that you receive the paper on time.
Completing the order and download