Usage of Predictive Research on further Business
Amarendra Mohanty1, Ranjana2
1Amarendra Mohanty, Research Scholar, Dept. of MCAHindustan Institute of Technology & Science, Chennai, India.
2Dr.P.Ranjana, Associate Professor, School of Computing Sciences, Hindustan Institute of Technology & Science, Chennai, Tamilnadu, India.
Manuscript received on 22 August 2019. | Revised Manuscript received on 07 September 2019. | Manuscript published on 30 September 2019. | PP: 3464-3466 | Volume-8 Issue-11, September 2019. | Retrieval Number: K25590981119/2019©BEIESP | DOI: 10.35940/ijitee.K2559.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Predictive analytics is a group of methods that uses statistical and other empirical techniques to predict future events, based on past occurrences. Predictive analytics can generate valuable information for the management of a supply chain company to improve decision-making. This can be useful for demand forecasting, defect detection, maximizing equipment value, preventive maintenance, optimize marketing strategies, retain customer and connected aftermarket service in industry.
Keywords: Predictive Analysis; Big Data; Pattern; Data; Decision, Business; IoT(“Internet of Things); R, Python
Scope of the Article: Big Data Analytics Application Systems