Predictive Analytics in Operations Management

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Author(s): Harsh Jain (Indian Institute of Information Technology, Allahabad, India), Amrit Pal (Indian Institute of Information Technology, Allahabad, India)and Manish Kumar (Indian Institute of Information Technology, Allahabad, India)
Copyright: 2017
Pages: 19
Source title: Decision Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1837-2.ch055

Keywords: Business & Management / Decision Support Systems / Information Science Reference

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Abstract

Operations management is a field of management which emphasizes on managing the day to day operations of business organizations. These organizations possess a huge amount of data which needs to be analysed for proper functioning of business. This large amount of data keeps some useful information hidden inside it, which needs to be uncovered. This information can be retrieved using predictive analytics techniques, which predict the patterns hidden inside the data. This data is heterogeneous, processing of such huge amount of data creates challenges for the existing technologies. MapReduce is very efficient in processing this huge amount of data. In the field of operation management, data needs to be processed efficiently, so it is highly required to process data using parallel computing framework due to its large size. This chapter covers different techniques of predictive analytics based on MapReduce framework which helps in implementing the techniques on a parallel framework.

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