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Big Data Analytics: A Necessary Roadmap for Enterprises

Big Data Analytics: A Necessary Roadmap for Enterprises

Iman Raeesi Vanani, Faezeh Mohammadipour
Copyright: © 2019 |Pages: 29
ISBN13: 9781522551379|ISBN10: 1522551379|ISBN13 Softcover: 9781522586746|EISBN13: 9781522551386
DOI: 10.4018/978-1-5225-5137-9.ch002
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MLA

Vanani, Iman Raeesi, and Faezeh Mohammadipour. "Big Data Analytics: A Necessary Roadmap for Enterprises." Optimizing Big Data Management and Industrial Systems With Intelligent Techniques, edited by Sultan Ceren Öner and Oya H. Yüregir, IGI Global, 2019, pp. 24-52. https://doi.org/10.4018/978-1-5225-5137-9.ch002

APA

Vanani, I. R. & Mohammadipour, F. (2019). Big Data Analytics: A Necessary Roadmap for Enterprises. In S. Öner & O. Yüregir (Eds.), Optimizing Big Data Management and Industrial Systems With Intelligent Techniques (pp. 24-52). IGI Global. https://doi.org/10.4018/978-1-5225-5137-9.ch002

Chicago

Vanani, Iman Raeesi, and Faezeh Mohammadipour. "Big Data Analytics: A Necessary Roadmap for Enterprises." In Optimizing Big Data Management and Industrial Systems With Intelligent Techniques, edited by Sultan Ceren Öner and Oya H. Yüregir, 24-52. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5137-9.ch002

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Abstract

The idea that we can get value from data has been discussed, but the main challenge is to use data effectively in order to facilitate smarter and better decision making and surpass our competitors. The change leaders in organization are now dealing with big data from both within and outside the enterprise, including structured and unstructured data, machine data, online and mobile data to supplement their organizational data pool and provide and facilitate the way through which the businesses can compete and operate successfully. Companies that invest in big data can have a distinct advantage over their competitors. Therefore, in this chapter, the concepts of big data analytics along with the relevant description of different categorization, capabilities, challenges are firstly explained, and then big data analytics techniques and methods are introduced and discussed to make the readers familiar with the way big data is applied in the enterprises.

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