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HI6032
AU
Holmes Institute
Netflix is one of the most growing businesses. The company offers online streaming of series and cinemas. This offers services to over 190 countries. The main reason behind the success of Netflix is the use of data analytics. Data analytics is the key ingredient for the success. Netflix producers utilizes data models for the purpose of managing the business intelligence software (Fernández-Manzano, Neira and Clares-Gavilán 2016). This is used for recommending the users about shows on the basis of their previous watch. Moreover, Business intelligence solutions is being indulged within Netflix for the purpose of improving business process, for solving complex manufacturing and issues and to unroll new products. This makes the operations exciting and easy to handle. Netflix focused on streamlining data by connecting software and wrapping the business intelligence solutions around interconnected system. This approach allows Netflix to transform their business (Ukhalkar et al. 2020).
Business intelligence used in Netflix for the purpose of offering better decision making capabilities. This also helps in improving the efficiency of business operations as well. Netflix integrated business intelligence for obtaining competitive advantages. The use of intelligence has benefitted Netflix in having a much larger customer base (Fouladirad et al. 2018). Netflix has adapted data analytics model for the purpose of discovering customer behaviour at the time of making any purchase. In near future, it is expected that business intelligence will increase the convenience for customers so that they can make selection accordingly. Therefore, it can be concluded that business intelligence has created a huge enhancement in the entertainment industry. This provided opportunity to deal with data much efficiently.
Fernández-Manzano, E.P., Neira, E. and Clares-Gavilán, J., 2016. Data management in audiovisual business: Netflix as a case study. El profesional de la información (EPI), 25(4), pp.568-576.
Fouladirad, M., Neal, J., Ituarte, J.V., Alexander, J. and Ghareeb, A., 2018. Entertaining Data: Business Analytics and Netflix. International Journal of Data Analysis and Information Systems, 10(1), pp.13-22.
Ukhalkar, P.K., Phursule, D.R.N., Gadekar, D.D.P. and Sable, D.N.P., 2020. Business Intelligence and Analytics: Challenges and Opportunities. International Journal of Advanced Science and Technology, 29, pp.2669-2676.
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