Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/456235
Title: Big data and erp applications to manufacturing Industry using predictive analytics and data Mining techniques
Researcher: Jogeswara Rao Baipilli
Guide(s): B. Prajna M. Surendra Prasad Babu
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: Andhra University
Completed Date: 2022
Abstract: newline Decision making is an essential activity for any enterprise that requires an newlineanalytical platform for processing data from all available sources from time to time. newlineThe main priority for organizations is to integrate data and processes into a single newlinesystem so that they can easily manage the industry. Enterprise Resource Planning newline(ERP) systems are used to manage their day-to-day operations and three phases of its newlinelife cycle: the selection, deployment, and operational phases. ERP system provides such newlinea platform with a specialized software tools including dashboards and reporting tools. newlineThese tools use historical and real-time volumes of data to identify trends and helps newlinedecision making process at all levels. They are closely linked to legacy systems that newlinewere typically in place in organizations prior to ERP deployment.
Pagination: 179pg
URI: http://hdl.handle.net/10603/456235
Appears in Departments:Department of Computer Science & Systems Engineering

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01_title.pdfAttached File291.32 kBAdobe PDFView/Open
02_prelim pages.pdf811.39 kBAdobe PDFView/Open
03_content.pdf268.97 kBAdobe PDFView/Open
04_abstract.pdf375.07 kBAdobe PDFView/Open
05_chapter 1.pdf620.47 kBAdobe PDFView/Open
06_chapter 2.pdf468.17 kBAdobe PDFView/Open
07_chapter 3.pdf766.5 kBAdobe PDFView/Open
08_chapter 4.pdf987.6 kBAdobe PDFView/Open
09_chapter 5.pdf1.45 MBAdobe PDFView/Open
10_chapter 6.pdf1.5 MBAdobe PDFView/Open
11_annexures.pdf758.03 kBAdobe PDFView/Open
80_recommendation.pdf1.56 MBAdobe PDFView/Open
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