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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FT Rompas KI 24 Prosiding In-Memory Business Intelligence-Concepts and Performance_compressed.pdf | 1.2 MB | Adobe PDF | View/Open | |
| FT Rompas PR 24 Prosiding In-Memory Business Intelligence-Concepts and Performance.pdf | 1.69 MB | Adobe PDF | View/Open | |
| Artikel 24.pdf | Similarity | 1.21 MB | Adobe PDF | View/Open |
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