Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/33
Title: In-Memory Business Intelligence: Concepts and Performance
Authors: Rantung, Vivi Peggie
Kembuan, Olivia
Rompas, Parabelem Tinno Dolf
Mewengkang, Alfrina
Liando, Olivia Eunike Selvie
Sumayku, James
Issue Date: 22-Feb-2018
Publisher: IOP Publishing Ltd
Citation: V P Rantung et al 2018 IOP Conf. Ser.: Mater. Sci. Eng. 306 012129
Series/Report no.: IOP Conf. Series: Materials Science and Engineering;306
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/123456789/33
Appears in Collections:Lecturer Scientific Papers

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