Benefits and challenges of Big Data For Business And Customers

Big data is providing access to the data that are available. Due to expansion of big data into the platforms of business intelligence, the professionals can expand analytics. The use of information technology can reduce the healthcare cost while it improves the quality of the services (Mahajan, Gaba and Chauhan 2016). Lowering the cost as well as enabling the efficiencies is considered as critical goals of the healthcare service provider. Another benefit of the big data is that it optimizes clinical trials by preventing errors, reduction of cost and making sure for pliance. The data points are presented into analytic as well as reporting virtualizations that help the service provider to improve and develop their service quality (Ammu and Irfanuddin 2013). With use of the big data, the organization analyzes the root causes of both failures as well as issues in the real time. It also personalizes the experience of the customers and the risks are quickly identified. In some of the business organization, big data plays a significant role in security. The big data analytics are used in some areas of cyber security such as it allows the business to start play an offense against the attackers (Jakobik 2016). In this way, they can prevent the vulnerabilities. New and advanced technologies are increasing the use of big data in current era. The business organization is using of big data for purpose of business intelligence, predictive analytics as well as data mining tasks.    While the benefits of the big data are real, there are also some technical challenges of big data. One of the challenges is that there is difficulty in generating right metadata so that it can describe the data, how it is verified and measured. There is lack of coordination among the database systems (Michael and Miller 2013). The system can host of data and give query for the SQL. For large decades, management of large and high volume of big data b es a challenge. Large time is required to analyze the data set. However, there are some cases when the data required analyzing immediately, therefore that time it b es a problem. The biggest challenge of big data is privacy issues (Ammu and Irfanuddin 2013). The data which are stored within the database system are not handled properly and sometimes, they are accessed by any third party person. Therefore, the data are shared with an unauthorized person.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Ammu, N. and Irfanuddin, M., 2013. Big Data Challenges.  International Journal of Advanced Trends in puter Science and Engineering,  2(1), pp.613-615. Jakà ³bik, A., 2016. Big Data Security. In  Resource Management for Big Data Platforms  (pp. 241-261). Springer International Publishing. Mahajan, P., Gaba, G. and Chauhan, N.S., 2016. Big Data Security.  IITM Journal of Management and IT,  7(1), pp.89-94. Michael, K. and Miller, K.W., 2013. Big data: New opportunities and new challenges [guest editors' introduction]. puter,  46(6), pp.22-24.