Capstone

Health-cop company is a start -up company will offer data analytics services to various companies. The company helps heath facilities through proper service delivery to their clients through support of data analysis. The company aims at improving its services through the adoption of innovative technologies. In a review, the company aims at implementing a cloud platform to act as data heaven that will support for data storage as well as predictive data analysis. The company intends to use the software as a service approach in the cloud computing environment (Tsai, Bai, & Huang, 2014). Fetching of data will be performed through the support of the internet of things. This paper will, therefore, seek to identify how the company intends to use the cloud platform in its operations.

Goals and Objectives

The company aims to be a leading provider of predictive data analytics services across the united states. In its goal to become a diverse company in its service providence, the company aims at earning profits from its wide range of services it offers. The main aim is to provide organizations with data handling support. In this view, the company aims at providing real-time streams of data analytics. The software as a service platform will enable the company to have accessibility from many places in the nation (Khoshafian, 2016). In its mandate, the organization aims to provide the safest and the most dependable data facilities that the clients can have confidence in. The company aims at providing scheduled as well as random reports on the various predictive data analysis dockets it is tasked with. The company provides for this intending to provide a robust structure that will enable its client organization to perform health information analysis that will enable them to attain a competitive advantage in privately owned hospitals.

Content Security Policy

Considering the fact that Health-cop company intends to use a cloud platform in data storage and handling as well as offering support for data analytics, there will be a need to have a policy that will ensure the security of data. The expected security is enabled through the website that will be used to access data from the cloud platform. The content security policy will help in detection as well as prevention of certain types of attacks that target cloud platforms (Patil, & Frederik, 2016). A content security policy will be capable of efficiently handling forms of attacks such as cross-site scripting, browser hijacking, form jacking as well as ad injecting. The company plans to have a regularly updated inventory of the first- and third-party domains, lists of whitelisted domains and a method of alerting violations of the content security policy. The company also aims to have a regular update of the policy in order to ensure that it meets data security standards.

Organizational Structure

Health-cop Company is headed by a chief executive officer who is in charge of coordinating different departments in the organization. In his mandate, the chief executive officer is in charge of fostering a good relationship between the company and the target client companies. Through his influence, he makes approval of innovative technology such as the current impending cloud computing platform. Under the chief executive officer, lies a business manager and a functional manager. The business manager ensures that the company is strategically positioned to perform business (Goetsch, & Davis, 2014). The functional manager coordinates activities that lay down the structure of the business. He is in charge of coordinating information technology issues. The three top bosses are mandated to sit in board meetings that discuss the reports of the business. There are other supervisors who are I charge of other smaller departments in the company.

Target Market

The company target all the health facilities across in the state. The intention of targeting these companies is that they are in a position to purchase the data storage and analytics plans the company offers. The company will provide the predictive data analysis services to companies that are in need to perform digitized and more efficient market analysis (Liu, 2014). The idea is to enable these companies to identify market niches as well as to attain competitive advantages. The company will target these companies through specialized plans that will enable favourable conditions that are economically viable.

Market Niche

With the many chronic diseases in the country, health organizations are increasingly having the need to predict the prevalence of these diseases. Health-cop services will provide the much-needed reports to health facilities. These will help health facilities draw plans on how to curb as well as prevent diseases.

Budget Estimation

With the infrastructure that comes with the cloud computing platform, it is will be necessary to have a special room where architectural equipment will be placed. The cost of building a physically secure room will be incurred. There will also be a cost incurred in buying a domain that will be used to access cloud resources. A server will also be procured in order to support the large network of organizations that will be linked to the company’s cloud platform. Installing the technology will also require an investment in financial resources in acquiring skilled personnel to install and maintain the cloud platform. In addition, training of human resource personnel in the company will incur some cost.

Conclusion

A review of current marketing trends in many organizations indicates that data handling an analysis are key components of every organization. Every organization strives to ensure that they can grasp market requirements that gives them a niche in the market. For these reasons, Health-cop Company’s cloud computing project fits the market requirements of data handling and analysis.

References

Goetsch, D. L., & Davis, S. B. (2014). Quality management for organizational excellence. Upper Saddle River, NJ: Pearson.

Khoshafian, S. (2016). Service oriented enterprises. Auerbach Publications.

Liu, Y. (2014). Big data and predictive business analytics. The Journal of Business Forecasting, 33(4), 40.

Patil, K., & Frederik, B. (2016). A Measurement Study of the Content Security Policy on Real-World Applications. IJ Network Security, 18(2), 383-392.

Tsai, W., Bai, X., & Huang, Y. (2014). Software-as-a-service (SaaS): perspectives and challenges. Science China Information Sciences, 57(5), 1-15.