Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/511
Title: In-Memory Business Intelligence: Concepts and Performance
Authors: Rantung, V P
Kembuan, O
Rompas, Parabelem Tinno Dolf
MEwengkang, A
Liando, O
Sumayku, J
Issue Date: 2018
Publisher: IOP Conference Series: Materials Science and Engineering
Citation: ICIEVE 2017
Series/Report no.: IOP Conf. Series: Materials Science and Engineering 306(2018) 012129 doi:10.1088/1757-899X/306/1/012129;
Abstract: Abstract.This research aims to discuss in-memory Business Intelligent (BI) and to model the business analysis questions to know the performance of the in-memory BI. By using, the Qlickview application found BI dashboards that easily accessed and modified. The dashboards are developed together using an agile development approach such as pre-study, planning, iterative execution, implementation, and evaluation. At the end, this research helping analyzer in choosing a right implementation for BI solution
URI: http://localhost:8080/xmlui/handle/123456789/511
ISBN: 17578981, 1757899X
Appears in Collections:Lecturer Scientific Papers

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