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• W2959213285 abstract "The maturity of the Big Data analytics allows enterprises to enhance their business processes using a data-driven approach. From retailers, E-commerce, risk analysis to pharmaceuticals, Bioinformatics, healthcare informatics, and others, business owners are thinking about mining business data into information for making better decisions to drive business value. However, the lack of reverse engineers and data analysts makes it harder for enterprises to apply Big Data analytics in their business data with a goal to enhance their operational processes. Ultimately, these processes can be automated to reduce human errors. In this paper, we study an empirical dataset containing real world service desk tickets using machine learning with a goal to automate and improve business processes, which will benefit to enterprises and customers in increasing quality of service." @default.
• W2959213285 created "2019-07-23" @default.
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• W2959213285 date "2019-07-01" @default.
• W2959213285 modified "2023-09-23" @default.
• W2959213285 title "An Emperical Study on Application of Big Data Analytics to Automate Service Desk Business Process" @default.
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• W2959213285 doi "https://doi.org/10.1109/compsac.2019.10285" @default.
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