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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/9025
Title: Predictive Analytics As Applied to Big Data
Authors: Ogunleye, J.
Keywords: материалы конференций
predictive analytics
data quality
limitations
model and modelling
Issue Date: Jun-2016
Publisher: БГУИР
Citation: Ogunleye, J. Predictive Analytics As Applied to Big Data: Considerations for Analytics Teams / J. Ogunleye // BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий : сборник материалов II международной научно-практической конференции; Минск, 15-17 июня 2016 г. / редкол. : М. П. Батура [и др.]. – Минск : БГУИР, 2016. – С. 28-36
Abstract: The phenomenon of big data has brought home the importance of predictive analytics as a technology and statistical technique critical to taking the sting out of the big data mayhem. Although predictive analytics has been around for some time, the benefits of predictive analytics have only recently been appreciated due largely to the phenomenon of big data. This new-found appreciation of predictive analytics is coupled with a desire by many corporate organisations not only to inform strategic business decisions with evidence, but also to predict future trends with a high level of confidence.
URI: http://libeldoc.bsuir.by/handle/123456789/9025
https://libeldoc.bsuir.by/handle/123456789/9025
ISBN: 978-985-543-237-2
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2016)

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