Outsourcing Data Hosting and Infrastructure: A Case Study of National Kidney Registry and Rackspace

E-Strategy 1
Transcript for the presentation.
Slide 1: Topic name, student name and institution affiliation.
Slide 2, 3 and 4: Summary
The NKR is an organization that handles the largest paired exchange program for organ
donors particularly in the United States. Its main mission is to get as many patients matched and
transplanted as possible especially patients who have donors and need a better match. Since its
inception, NKR has supported more than 2000 transplants. However, due to the security and
privacy concerns of its data, NKR acquired the services of Rackspace for both data hosting and
storage needs. Since Rackspace operates a private cloud hosting service, the company has been
able to provide base line security services for NKR hence assuring that recipients, donors and
transplant center have faith in NKR services by their data being safe. The National Kidney
Registry has also been able to focus on its mission/core competencies without having any worry
about the security or privacy of their data since Rackspace has demonstrated its reliability over
the years. In comparison to other transplant centers that are not part of the NKR, the NKR has
remained to be the leading kidney exchange program that allows improved transplant outcomes
due to their donor matching abilities. (Image 1)
Slide 5 and 6: Why NKR decided to outsource it data hosting and data infrastructure.
The National Kidney Registry handles sensitive data on kidney donors and recipients. It
primarily facilitates both kidney paired exchange and kidney paired donation transplants every
year. The reasons for outsourcing the services include;
1. Security concerns of its data
Therefore, due to the security concerns of its data, the company turned to Rackspace for both
data storage and site hosting needs. Besides, the National Kidney Registry paired exchange
program is the largest in the United States since thousands of paired donors are connected
through its system (Jacob, 2016).
2. Privacy of its data