Sunday, December 8, 2019

Object and Data Modeling Business Development and Business Strategies

Question: Discuss about theObject and Data Modelingfor Business Development and Business Strategies. Answer: Introduction The report depicts the importance of implementing cloud computing technology solution for the development of business and its overall strategies. The taken case study to prepare this report is Evaluating Cloud Technology Solutions for Business Development and Business Strategies. The advanced business functionalities will help different business organizations to gain competitive advances from the competitive marketplace. Cloud computing acts as a tool and it provide mobility to the businesses. In addition to this, the report will illustrate the resources that are required to collect data for the business development. Though, technology gives extreme commercial benefit to organizations but at the same time it put certain negative impact to the businesses also (Julfathna, Babu Jayakameswaraiah 2014). After complementary study of the business it will analyze different business risks that might hamper the system. The outcome of the business processes will be elaborated at the end of the report. Business Case The cloud computing technology, gives many possible advantages to the organization. It helps an organization to build a flexible virtual office that can connect the business to other technical advances. The technology gives effective business environment in terms of digital devices and due to this adaptation the users can access data from wherever and whenever they want (Paroutis, Bennett Heracleous, 2014). However, all time it will not help to scale up the business rater sometimes, lack of management system it might scale down the business growth. Cloud computing technology provides positive ambiance in terms of backup resilience, disaster recovery. It means once the data get stored in the database of an organization it cannot be deleted automatic, because cloud possesses a vast storage. If any information regarding previous applications is required, then due to the backup resilience one can fetch information from the storage easily (Ward Peppard, 2016). Moreover, it can be said t hat, cloud computing gives wide range of economical profit as it is capable to acquire different IT based capacities. Cloud computing can be acquired as a service model, that provides shared and configurable resources. Analysis of the Business Functionalities The business case has much functionality that is associated to cloud computing technologies. In order to instantiate advanced, flexible and scalable business model cloud computing technology is required to be adopted (Oliveira, Thomas Espadanal, 2014). Cloud computing serves various functions that are beneficial from the business perspectives. Some features of cloud computing, help to enhance the business ability of an organization. The functions are as follows: Infrastructure as a service (IaaS): In order to increase the business abilities most of the businesses from medium to large are eager to adopt IaaS platform (Paroutis, Bennett Heracleous, 2014). This is referred to an obvious choice as it is cot saving and it helps to develop and deploy the platform application. Private and hybrid cloud: The business organizations those want to host large IT infrastructures, can adopt hybrids cloud where they will be getting large storage capacity. Again the public cloud will help to protect information from different external attacks (Julfathna, Babu Jayakameswaraiah 2014). This particular case study implies that, more than 763 Billion cumulative finance supports can be achieved between the time periods of 2010 to 2012by adopting the hybrid, public and private cloud technology. Testing and development: This is one of the best possible scenarios provided by cloud computing technology needed to develop the business models (Gupta, Seetharaman Raj, 2013). With the help of secured budget estimation, manpower support and physical assets a specific environment can be created for the business. A business model supported by cloud service does not have any particular boundary rather; it often helps to combine the real and virtual world together. Big data analytics: Big data acts as a vital part of computing technology. It is referred to as an analytical tool, and helps to take important decision for business organizations. In order to develop the quantity and quality of the business infrastructure big data analytics is found to be very helpful (Ward Peppard, 2016). Information System is a combination of different business functionalities, and act in an integrated manner that includes customer relationship management and supply chain management also. On the other hand, backup and disaster recovery are the other functionalities associated to cloud computing. Required Resources In order to create a supportive set up for cloud computing in business model development the main required resources are computing resources that include- network, servers, storage, application and different services (Khanagha, Volberda Oshri, 2014). Most of the computing resources based on the service level agreement require datacenter resources with different cloud components. The resources are selected and monitored by the organizational business managers. The IT resources are also needed to develop the business model and business strategy at the same time. Broad Feasibility of the Project Cloud computing solution helps to create innovative business models. The development team of the business focuses on the infrastructure management system which is based on innovation (Oliveira, Thomas Espadanal, 2014). The main businesses professionals are focused on the cost benefit analysis program. The main aim is to evaluate a successful and cloud based collaborative platform that might reduce the pre-estimated cost. As cloud does not need to depend on any particular software and hardware even, no regular update policy is associated to it (DaSilva et al., 2013). Thus, they need to balance the production and delivery system. In online processing, the production is customer focused, and the regulatory management is focused on the prevention and promotion of the products. The project is enough feasible. Risk Analysis In this case study the most critical and highlighted issue is referred to as the data security. Most of the consumers were avoiding net banking as they felt that the system is not at all safe and secured. The basic key components oriented to risk analysis include availability, confidentiality, traceability and integrity (Repschlaeger et al., 2012). Other kinds of risks are associated to authentication. Unauthorized users might hack confidential data from the storage and misuse those is another issue. Outcome of the Business Project After analysis of the complete business model it has been found that, after adaptation of cloud computing solution, one traditional model can become more innovative and advantageous in nature. The business model will give competitive advantages to the consumers (Paroutis, Bennett Heracleous, 2014). The business project gave innovative business strategies in terms of application and actions. Conclusion From the overall discussion it can be concluded that the Information System gives effective profit to the consumers and to the organization as well. The report has mentioned the business background including the business functionalities. The cloud computing solution gave effective outcome. Currently, most of the organizations are providing strict attention to new technological advances such as cloud computing, digital platform and big data. The report analyzed the business case including its functionalities. The required resources are also discussed in this report. At the same time, many business risks are also associated to it those are also analyzed. References DaSilva, C. M., Trkman, P., Desouza, K., Lindi?, J. (2013). Disruptive technologies: a business model perspective on cloud computing.Technology Analysis Strategic Management,25(10), 1161-1173. Gupta, P., Seetharaman, A., Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses.International Journal of Information Management,33(5), 861-874. Julfathna, N., Babu, G. A., Jayakameswaraiah, M. (2014). Evaluating Cloud Technology Solutions for Business Development and Business Strategies.International Journal of Scientific and Research Publications, 49. Khanagha, S., Volberda, H., Oshri, I. (2014). Business model renewal and ambidexterity: structural alteration and strategy formation process during transition to a Cloud business model.RD Management,44(3), 322-340. Oliveira, T., Thomas, M., Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors.Information Management,51(5), 497-510. Paroutis, S., Bennett, M., Heracleous, L. (2014). A strategic view on smart city technology: The case of IBM Smarter Cities during a recession.Technological Forecasting and Social Change,89, 262-272. Repschlaeger, J., Zarnekow, R., Wind, S., Turowski, K. (2012). Cloud Requirement Framework: Requirements and Evaluation Criteria to Adopt Cloud solutions. InECIS(p. 42). Ward, J., Peppard, J. (2016).The Strategic Management of Information Systems: Building a Digital Strategy. John Wiley Sons.

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