Impact of Big Data Analytics on Business Intelligence-Scope of Predictive Analytics

Authors

  • P. Soumya Sree Laxmi Department of Computer Science, St. Pious X Degree & PG College for Women, Nacharam, Hyderabad, India-500 007 Author
  • P.Sree Pranathi Sreenidhi Institute of Science and Technology, Ghatakesar, Hyderabad, India-501 301 Author

Keywords:

Big Data, Business Analytics, Business Intelligence, Decision making, E-Business, Predictive Analytics.

Abstract

The Big Data is the buzzword in present days across the globe. As there is a huge data generated by different sources such as business people, marketing, education, engineering, medicine, social media, on-line transactions, call centers, sensors, web logs and telecommunication. There is a need to manage the risk associated with the collection, storage, retrieval and analysis of such enormous data. Big data analytics is emerged as a core business practice that firms use to understand their business. Business intelligence and analytics are in high demand as organizations seek to use information assets to improve business outcomes. To meet the demand of the Business intelligence (BI) vendors are looking at predictive analytics to understand customer behavior in new ways. E –Business merchants are collecting and analyzing data to discover shopping patterns that will predict value and understand consumer experiences in digital context. In this paper we described the evolution of different analytics and the impact of big data on business intelligence and also the future scope of predictive analytic with the existing business which will yield a better and cost reduced outcomes.

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Published

2015-04-30

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Section

Articles

How to Cite

Impact of Big Data Analytics on Business Intelligence-Scope of Predictive Analytics. (2015). International Journal of Current Engineering and Technology, 5(2), 856-860. https://ijcet.evegenis.org/index.php/ijcet/article/view/2102