Combining Big Data Analytics with E-Commerce Processes

Question: Discuss about theCombining Big Data Analytics with E-Commerce Processes. Answer: Overview of Topic and Issues Discussed Big Data Analytics have helped the development and improvement of huge amount of data management (Srinivasa Bhatnagar, 2012). The electronic commerce has been improved by using the big data analytics for easing the process of data management. The ecommerce has been benefited in provision of customer service, supporting smart shops for the customers, and assisting the customers with fasted services. All these facilities have been promoted by the use of Big Data Analytics. According to Llieva, Yankova and Klisarova, (2015), Personalization has also been developed due to the use of big data analytics in Electronic commercial activities of the companies. There have been a vast development of technology and it has provided means for infiltrating the Big Data Analytics. The overall development of hacking technology has resulted in forming social ethical and legal issues with the Big Data Analytics. The issues of Big Data Analytics are privacy breaches and embarrassments, impossible anonymity, data masking, unethical actions and interpretation, not 100% accurate, discrimination, and irrelevant patency. Importance of Big Data Analytics in Ecommerce The importance Big Data Analytics lies on the fact that it has helped in huge amount of data processing and information system management. It has provided the platform for getting a competitive edge over the rivals (Srinivasa Bhatnagar, 2012). The E-commerce system uses the Big Data Analytics for managing the huge amount of data generated during their online transactions. The Big Data Analytics has played an important role in setting advantages for the e-commerce activities of different sectors such as manufacturing, food chains, shopping, lifestyle products, electronic devices, and travel and tourism (Raghupathi W Raghupathi V, 2014). For example- the Big Data Analytics in an food chains would help in integrating and managing the data of the food items, the prices of those items, customers information (name, address, contact number), and delivery tracking system. The Big Data Analytics has provided the following benefits to the e-commerce activities of any organization: Big Data Analytics have helped in making the information transparent and forming significant value addition to the ecommerce activities (Raghupathi W Raghupathi V, 2014) Big Data Analytics have helped in storing huge amount of data by forming a big digital form of storage capacity for the data and information Big Data Analytics helps in narrowing the customer segmentation specifically for a tailored products and services (Zakir, Seymour Berg, 2015) Big Data Analytics has helped in forming ease of decision making and risk minimization Big Data Analytics would also help in developing and focusing on the development of products and its services Explanation of Issues of Big Data Analytics in Ecommerce Figure 1: Social, Ethical, and Legal issues of Big Data Analytics (Source: Chen, Chiang Storey, 2012, pp-1167) The analysis of the social, ethical and legal issues of the Big Data Analytics has shown that most of these issues have been man made and not aroused from technological aspect. The social issues of Big Data Analytics are explained below: Discrimination: The Big Data Analytics have been used in Ecommerce for providing various offers and vouchers to the customers (Zakir, Seymour Berg, 2015). It has also helped in narrowing the segmentation of the customers for any products. However, the Big Data Analytics have given rise to automated discrimination of providing benefits to any particular group of people. Not 100% accurate: The predictions and derivations from the Big Data Analytics are a study of the data feed into the system (Chen, Chiang Storey, 2012). It is done using statistical analysis and permutation and combination of possibilities. Hence it does not account 100% correct information. The Big Data Analytics does not include general hypothesis. The ethical issues of Big Data Analytics are explained below: Privacy breaches and embarrassments: The information stolen from the Big Data Analytics such as name, address, card number, passwords, etc. can be used for impersonating the person (Moniruzzaman Hossain, 2013). It would lead in embarrassing the person by accusations of thing he or she has not done. It is unethical to harass the person both mentally and financially with the data and information stolen. Unethical actions and interpretation: The Big Data Analytics can be used for influencing the behaviors of the data stored (Moniruzzaman Hossain, 2013). The Big Data Analytics could provide facilities for doing and performing various things with the data and information set. The Legal Issues of Big Data Analytics are explained below: Irrelevant patency: According to Kambatla et al., 2014), the use of Big Data Analytics has made it impossible for obtaining the privacy and patent rights from the government. Data masking: According to Hu et al., (2014), the data masking could be defeated for extracting personal information from the Big Data Analytics. Critical Evaluation of Issues of Big Data Analytics in Ecommerce The issues of the Big Data Analytics like discrimination and data masking errors have use for benefitting the ecommerce activities of the organization (Talia, 2013). The discrimination had provided help in managing and targeting a specific group of people who use the ecommerce for most of their commercial activities. It is useful for gaining better market capture for a particular customer. The data masking helps in forming the specific security for the data stored in Big Data Analytics. However, its flaws could help the government for keeping track of the commercial activities of the companies. Summary and Conclusion Summary: The assignment had pointed out the various social, ethical, and legal issues in the Ecommerce with Big Data Analytics. These issues are privacy breaches and embarrassments, impossible anonymity, data masking, unethical actions and interpretation, not 100% accurate, discrimination, and irrelevant patency. However, some of them have positive aspects also. They can be used for benefitting the organization and the ecommerce activities of them. Conclusion: It can be concluded from the assignment that the Big Data Analytics has a very prominent role in managing the data for E-commerce activities of different organizations and companies. However there are many security and design related errors with the Big Data Analytics. These errors have given rise to social, ethical and legal issues for the system. Hence it is very important for keeping the Big Data Analytics and its structural design secured for improving the E-commerce activities of the organizations. References Chen, H., Chiang, R. H., Storey, V. C. (2012). 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