Blue Cross and Blue Shield System (BCBS), which provides healthcare insurance to nearly 33 percent of Americans, is a successful user of predictive analytics. It has established a database that contains more than 100 million medical claims. To control increasing medical costs, BCBS uses predictive analytics to identify the risk factors that lead to several chronic diseases. It also uses predictive analytics to identify individuals who are at heightened risk of getting such diseases. The goal is to be able to use the data to get doctors to provide better, more targeted care for high-risk patients, reducing their need for expensive, long-term treatment.
Match.com, an online dating service, is also a successful user of predictive analytics. The company collects data from subscribers during the registration process and also by monitoring subscribers' interactions on the Web site. The goal is to find the best possible matches based on each subscriber's preferences. By using predictive analytics, Match.com matches its members based on not just their expressed preferences but on their behavior and interac- tions on the Web site.
Question:
An element of a DBMS that sounds good in theory may not work well at a given organization. In some cases, a DBMS may be thoroughly overhauled in order to meet new or rising concerns at a company.
Refer to the discussion of Blue Cross and Blue Shield from your text.
Write a paper that expands on the discussion as to how BCBS is using analytics to improve their business and save time and money. Address how they incorporated the software system into their daily business.