Business intelligence and analytics, and big data analytics have become increasingly important in describing the data sets and analytical techniques in software applications that are so large and complex. These two techniques have been used as analytics by several e-commerce communities. For example, vendors such as Amazon and eBay have adapted these techniques to significantly advance in innovative and highly recommended scalable e-commerce platforms and product systems to target potential customers thus increasing business revenues. In a similar context, the health community have experienced not only more complex and large data content, but also information systems that contain a large number of data sources with interrelated data. Furthermore, due to the increasing diversity and differentiation of expansions by service providers in the form of primary or nursing care, a variety of service organisations in the public and private hospital networks including new medical specialist facilities have resulted in challenging, and highly dynamic environments resulting in the creation of big data with its enumerate complexities, for instance sharing information with expected security requirements of stakeholders. Therefore, the health community will have to adapt the concept of big data analytics in order to solve major issues that have occurred due to complex shared information.