This paper concludes that any such adoption must be evaluated in the environment of the individual firm. The global report on big data in the E-commerce market has been analyzed across five main geographic regions: North America, Europe, Asia-Pacific, Central and South America, and the Middle East and Africa. 1. From allowing improved and predictive customer experiences to providing new sales opportunities, the potential of Big Data, Predictive Analysis and AI have assisted the growth of the e-commerce industry in many significant ways. Although, it is not possible to make arrests for every crime committed but the availability of data has made it possible to have police officers within such areas at a certain time o⦠Consequently, in this article we propose a new basis for competitive advantage for manufacturing enterprises called a Big Data Strategy in Servitization. Previously, we were seeing advertising that was intrusive, irrelevant and bombarding. Related: E-commerce Applications illustrates the growth in data from 1986 to2007, Figure 1: Data growth between 1986 and 2007, Figure 2: Benefits of Big Data Analysis to Businesses. The global E-commerce market should reach $5,879.1 billion by 2022 from $2,682.1 billion in 2017 at a compound annual growth rate (CAGR) of 16.8% from 2017 to 2022. internal, competitor and market analysis. Such that e-commerce vendors and businesses can analyze and harness the insight derived from the enormous data that has been generated from Electronic Data Interchange (EDI), so as to obtain a better understanding of customer behavior. Applicationâs interface should be easy to navigate, so even an employee with fewer technicalities should be able to use it with ease and understand the data analytics reports and generated results. Both discussion and conclusion are also included. Social Media The statistic shows that 500+terabytes of new data get ingested into the databases of social media site Facebook, every day. Companies use big data to better understand and target customers by bringing together data from their own transactions as well as social media data and even weather predictions. In 2018, e-commerce will continue to evolve with big data, taking online shopping to a whole new level. Join our mailing list for the latest report releases and upcoming event notifications. Banking and Securities Industry-specific Big Data Challenges. In this panel we will try to explore the controversies and debunk the myths surrounding Big Data. There has been an increasing emphasis on big data analytics (BDA) in e-commerce in recent years. Moreover, the es-timated average speeds are classified to different traffic condition levels, which are prepared for displaying a real-time traffic map on mobile phones. Telecom Bretagne, Institut Mines-Telecom. http://www.researchgate.net/publication/258194086, _Mobile_Agent_based_New_Framework_for_Impr, oving_Big_Data_Analysis/file/60b7d52cbb2bef0bc4, oving_Big_Data_Analysis/file/60b7d52cbb2b, America and the Caribbean (UN ECLAC), http://jeffhurtblog.com/2012/07/20/three-, http://stephanmillard.ventanaresearch.com/2013/08/, http://www.thinkwithgoogle.com/campaigns/adizero, http://stakeholders.ofcom.org.uk/consultations/msa/, http://blogs.sap.com/innovation/analytics/how-, online-retailers-use-predictive-analytics-. Further this paper will present some case studies of how leading Ecommerce vendors like Amazon.com, Walmart Inc, and Adidas apply Big Data analytics in their business strategies/activities to improve their competitive advantage. 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