Data mining, which is intensively and extensively being utilized by several organizations, is gaining high popularity in the life sciences sector, albeit the degree of essentiality is moderate. Data mining applications have significantly benefitted industries, for example – insurers can detect abuse and fraud, life sciences companies can make better decisions apropos to customer relationship management, physicians can identify best practices and effective treatment options, and patients are enabled to receive affordable and improved healthcare services. With huge amount of complex data generated by the transactions related to life sciences companies, processing and analyzing this data becomes voluminous by traditional methods. With the help of data mining's methodology and technology, the process of transforming the complex data into useful information is facilitated.