Predictive Analytics in Operations Management

Harsh Jain

Indian Institute of Information Technology, Allahabad, India

Amrit Pal

Indian Institute of Information Technology, Allahabad, India Manish Kumar

Indian Institute of Information Technology, Allahabad, India

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.

DOI: 10.4018/978-1-5225-0886-1.ch004

 
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